All the code, in one place.

This exact expression `{` contributes to the surrounding Pinned GLM-5.2 FP8 architecture fields statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The model/configuration layer consumes `{` while defining architecture, tensor metadata, or loader behavior.

Runtime / compiler

A loader or engine may use this declaration to create modules, parameter groups, shapes, or dtypes before dispatch.

GPU execution

This source line does not select an operator backend, kernel, SM/CU, warp/wavefront, or tensor core.

Memory path

It can change potential parameter/activation capacity and placement, but allocation, residency, cache behavior, and HBM bytes need a run.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This GLM-5.2 field selects the GlmMoeDsaForCausalLM model class when a compatible loader reads the configuration.

Source

The architecture name lets the model loader choose the Python implementation that constructs the GLM MoE causal-language-model graph.

Runtime / compiler

Class selection precedes weight loading and operator dispatch; this JSON field does not choose a serving engine or compiler.

GPU execution

No kernel, SM, warp, or tensor-core instruction is selected by the class name.

Memory path

The selected architecture shapes later parameter and activation objects, but it contains no allocation, placement, or HBM-traffic receipt.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact GLM-5.2 configuration field declares 78 transformer blocks. It is model architecture, not a measured execution count.

Source

The model loader reads the integer and constructs or indexes 78 repeated block definitions.

Runtime / compiler

A serving engine can use the count while creating modules, loading parameter groups, and scheduling repeated layer traversal.

GPU execution

No SM, tensor core, warp, or kernel is selected by the JSON line itself.

Memory path

The count changes potential parameter and activation demand; placement, dtype, residency, cache hits, and HBM bytes remain unobserved.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This GLM-5.2 field declares a pool of 256 routed experts in each applicable MoE block.

Source

The loader uses the count when constructing expert modules and locating their parameter groups.

Runtime / compiler

The count defines the candidate expert pool; routing code still decides which experts receive each token at runtime.

GPU execution

It selects no GEMM kernel, collective, SM, warp, or tensor-core path by itself.

Memory path

A larger expert pool increases possible weight capacity, but active experts, sharding, residency, transfers, and HBM bytes depend on the deployed run.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This GLM-5.2 field limits each routed token to eight selected experts.

Source

Routing output is interpreted as eight expert assignments per token for applicable MoE layers.

Runtime / compiler

The serving path can use the top-k value while grouping tokens, dispatching expert GEMMs, and combining results.

GPU execution

It does not identify the selected experts, GEMM kernel, CTA shape, SM, warp, or tensor-core instruction.

Memory path

Eight expert paths can change weight reads and token exchange; actual reuse, communication, and HBM traffic require the request trace.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This GLM-5.2 field declares FP8 as the checkpoint quantization method for the pinned model configuration.

Source

A compatible loader reads the quantization method while interpreting stored weight formats and quantization metadata.

Runtime / compiler

The runtime must still choose supported dequantization, GEMM, scaling, accumulation, and fallback paths.

GPU execution

The declaration does not prove FP8 tensor-core execution or identify a selected kernel.

Memory path

FP8 can reduce stored weight bytes relative to wider formats, but loaded residency, scales, activations, KV state, and observed HBM bytes remain unmeasured.

Useful work / business implication

This line sets or converts precision. Fewer bits can reduce capacity and bandwidth pressure and expose faster matrix paths, while scaling and conversion can add work or quality risk. Prove numerical acceptance and the actual selected device precision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `EVENT_ORDER = (` for later source in Fail-closed C-001 event and artifact contract.

Source

The engine/control layer uses `EVENT_ORDER = (` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"request",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"request",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"context",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"context",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"route",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"route",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"prefix_lookup",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"prefix_lookup",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"prefill",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"prefill",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"attention_moe",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"attention_moe",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

Attention can read query/key/value or KV-cache state and write outputs; shape, backend, tiling, cache outcome, and observed HBM bytes are unknown.

Useful work / business implication

This line expresses or selects attention. Sequence length, head geometry, precision, KV-state placement, tiling, and fusion determine reads, writes, reuse, and latency. The accepted workload must preserve output quality while measuring the same context and cache policy.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"lowering",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"lowering",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"gpu_hbm",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"gpu_hbm",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"kv_placement",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"kv_placement",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"decode",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"decode",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"tool_call",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"tool_call",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"retry_verifier",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"retry_verifier",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"outcome_bill",` contributes to the surrounding Fail-closed C-001 event and artifact contract statement.

Source

The engine/control layer uses `"outcome_bill",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `WORKLOAD = {` for later source in Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `WORKLOAD = {` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `fixture_id = "C-001"` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `fixture_id = "C-001"` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `harness = "Hermes Agent"` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `harness = "Hermes Agent"` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `model = "zai-org/GLM-5.2-FP8"` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `model = "zai-org/GLM-5.2-FP8"` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line sets or converts precision. Fewer bits can reduce capacity and bandwidth pressure and expose faster matrix paths, while scaling and conversion can add work or quality risk. Prove numerical acceptance and the actual selected device precision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `task = (` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `task = (` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"Inspect the repository, make one bounded code change, use the declared "` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"Inspect the repository, make one bounded code change, use the declared "` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"tools, run the tests, and return a reviewable patch only after the "` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"tools, run the tests, and return a reviewable patch only after the "` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line exposes or stores a result for the next layer. Its value depends on whether the output satisfies the acceptance rule and whether producing and retaining it can be traced to the same runtime and resource interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"named verifier passes."` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"named verifier passes."` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `prompt_parts = (` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `prompt_parts = (` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"system instructions",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"system instructions",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"tool schemas",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"tool schemas",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"repository map and selected files",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"repository map and selected files",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"prior turns and tool results",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"prior turns and tool results",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"current task and acceptance test",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"current task and acceptance test",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `tools = ("read_file", "search", "apply_patch", "terminal", "test_verifier")` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `tools = ("read_file", "search", "apply_patch", "terminal", "test_verifier")` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `precision = {` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `precision = {` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `checkpoint = "FP8"` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `checkpoint = "FP8"` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line sets or converts precision. Fewer bits can reduce capacity and bandwidth pressure and expose faster matrix paths, while scaling and conversion can add work or quality risk. Prove numerical acceptance and the actual selected device precision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `activations = None` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `activations = None` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `kv_cache = None` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `kv_cache = None` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `accumulation = None` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `accumulation = None` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `reason = "A checkpoint label does not prove every runtime dtype."` as an exact configuration value used by Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `reason = "A checkpoint label does not prove every runtime dtype."` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line sets or converts precision. Fewer bits can reduce capacity and bandwidth pressure and expose faster matrix paths, while scaling and conversion can add work or quality risk. Prove numerical acceptance and the actual selected device precision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `TRACE_ORDER = (` for later source in Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `TRACE_ORDER = (` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"request", "context", "route", "prefix_lookup", "prefill",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"request", "context", "route", "prefix_lookup", "prefill",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"attention_moe", "operator_and_kernel", "hbm_traffic", "kv_placement",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"attention_moe", "operator_and_kernel", "hbm_traffic", "kv_placement",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

Attention can read query/key/value or KV-cache state and write outputs; shape, backend, tiling, cache outcome, and observed HBM bytes are unknown.

Useful work / business implication

This line expresses or selects attention. Sequence length, head geometry, precision, KV-state placement, tiling, and fusion determine reads, writes, reuse, and latency. The accepted workload must preserve output quality while measuring the same context and cache policy.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"fabric_movement", "decode", "tool_and_verifier", "power_cooling_water_cost",` contributes to the surrounding Hermes + GLM-5.2 FP8 prompt, tools, and thirteen-phase contract statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The engine/control layer uses `"fabric_movement", "decode", "tool_and_verifier", "power_cooling_water_cost",` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `cat` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `cat` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `Reference` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `Reference` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

This line submits candidate device work. Launch count, geometry, dependency order, occupancy, and the selected executable can change latency and utilization, but submission is not proof that the intended kernel completed correctly.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `vLLM:` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `vLLM:` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `SGLang/HiCache:` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `SGLang/HiCache:` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `LMCache:` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `LMCache:` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `TensorRT-LLM:` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `TensorRT-LLM:` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `NOTE` in the Engine capability probes and launch surfaces source surface.

Source

The host shell invokes `NOTE` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the repeated control path `for tool in nixlbench ucx_info gdscheck.py gdsio nvidia-ctk; do` inside NIXL/KV movement capability and physical-transport receipt.

Source

The engine/control layer uses `for tool in nixlbench ucx_info gdscheck.py gdsio nvidia-ctk; do` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

This line requests movement or exchange; direction, source, destination, byte count, transport, timing, and HBM effect require a joined run receipt.

Useful work / business implication

This line contributes a correctness or failure gate. It may add negligible direct acceleration, but it protects accepted-work rate, rollback safety, and trust—the denominator needed before performance or cost claims mean anything.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `if command -v "$tool" >/dev/null; then` when the surrounding code executes.

Source

The engine/control layer uses `if command -v "$tool" >/dev/null; then` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line expresses or selects matrix multiplication. Shape, dtype, layout, tile, reuse, and the selected executable determine whether the step is compute-bound or memory-bound. Value appears only if the correct end-to-end task uses less time, energy, or hardware capacity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `printf` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `printf` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"$tool" --version 2>/dev/null || "$tool" --help 2>&1 | sed -n '1p' || true` contributes to the surrounding NIXL/KV movement capability and physical-transport receipt statement.

Source

The engine/control layer uses `"$tool" --version 2>/dev/null || "$tool" --help 2>&1 | sed -n '1p' || true` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `else` when the surrounding code executes.

Source

The engine/control layer uses `else` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `echo` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `echo` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `fi` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `fi` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `done` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `done` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This is an authored omission marker, not source code. It makes the partial excerpt explicit instead of pretending the skipped lines are present.

Source

This marker declares that source was omitted from the excerpt; it is not executable code.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `cat` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `cat` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `Required` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `Required` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

This line requests data movement. Direction, byte count, source and destination tiers, overlap, and achieved bandwidth determine latency and energy exposure. The source text alone does not prove the physical route or completed transfer.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `source_tier,` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `source_tier,` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `completion_us,` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `completion_us,` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `Do` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `Do` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `topology` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `topology` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes `NOTE` in the NIXL/KV movement capability and physical-transport receipt source surface.

Source

The host shell invokes `NOTE` with the displayed arguments and redirections.

Runtime / compiler

The launched command decides whether it inventories a system, builds an artifact, starts a runtime, or submits device work; the shell line alone does not establish the child path.

GPU execution

A host command does not identify a selected kernel, SM/CU, warp/wavefront, tensor or matrix unit, or copy engine.

Memory path

Only the child command plus a joined runtime trace can establish allocations, transfers, cache outcomes, HBM bytes, power, energy, water, or cost.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line calls `single_prefill_with_kv_cache(...)` and binds its returned value to `prefill` for later use in FlashInfer prefill and decode shape probe.

Source

The operator layer uses `prefill ← single_prefill_with_kv_cache(...)` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

This line initializes or overwrites storage. The requested size can create real memory traffic and startup latency, but completed bytes, cache behavior, and HBM traffic require a device dispatch and counters from the same interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line calls `single_decode_with_kv_cache(...)` and binds its returned value to `decode` for later use in FlashInfer prefill and decode shape probe.

Source

The operator layer uses `decode ← single_decode_with_kv_cache(...)` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This comment documents `cudaMallocAsync uses the device's default stream-ordered memory pool.` for the reader; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `values = nullptr` for later source in CUDA allocation, launch, and copy path.

Source

The kernel source uses `values = nullptr` as part of a device-program definition, launch boundary, or kernel DSL expression.

Runtime / compiler

A compiler must lower this source and a runtime must select and launch the resulting artifact before it can execute.

GPU execution

Target lowering and launch geometry determine threads, warps/wavefronts, SMs/CUs, tensor/vector units, and occupancy; they are not captured here.

Memory path

Pointer operands and tensor layouts may cause register, shared/LDS, cache, or HBM access, but addresses, transactions, and bytes require compiled and runtime evidence.

Useful work / business implication

If this line contributes to the dispatched implementation, it can change instruction mix, locality, HBM traffic, and elapsed time. Business value requires a correct output and same-run resource receipt.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This wrapped CUDA call requests `bytes` of stream-ordered device allocation and stores the returned address in `values`.

Source

CUDA_CHECK validates the cudaMallocAsync status while the runtime writes the allocated device pointer through `&values`.

Runtime / compiler

The CUDA allocator services the request from a stream-ordered memory pool subject to pool state and stream ordering.

GPU execution

Allocation is a runtime/allocator action, not an SM or tensor-core kernel.

Memory path

The requested byte count is explicit, but physical page backing, pool reuse, residency, and whether the allocation occupies HBM require runtime evidence.

Useful work / business implication

This line requests or defines storage. It can change admitted batch or context size, allocator latency, fragmentation, and out-of-memory risk. It does not prove physical HBM residency or bytes moved until the allocation, address, device, and same-run memory receipt are joined.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This wrapped CUDA call asynchronously fills the `values` allocation with zero for `bytes` bytes on `stream`.

Source

CUDA_CHECK validates the cudaMemsetAsync status and preserves stream ordering.

Runtime / compiler

The CUDA runtime enqueues a device-memory fill operation after earlier dependencies in the stream.

GPU execution

The runtime may use a fill kernel or device copy path; this source does not identify which execution engine is selected.

Memory path

The destination and requested byte count are explicit, but cache behavior, transactions, timing, and observed HBM writes need a run.

Useful work / business implication

This line initializes or overwrites storage. The requested size can create real memory traffic and startup latency, but completed bytes, cache behavior, and HBM traffic require a device dispatch and counters from the same interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This is an authored omission marker, not source code. It makes the partial excerpt explicit instead of pretending the skipped lines are present.

Source

This marker declares that source was omitted from the excerpt; it is not executable code.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line submits candidate device work. Launch count, geometry, dependency order, occupancy, and the selected executable can change latency and utilization, but submission is not proof that the intended kernel completed correctly.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This wrapped CUDA call computes elapsed milliseconds between the previously recorded `start` and `stop` events.

Source

CUDA_CHECK validates the query and writes the elapsed duration through `&elapsed_ms`.

Runtime / compiler

The CUDA runtime converts completed event timestamps into a host-visible interval.

GPU execution

The timing query does not select a workload execution unit and cannot attribute time to one SM or kernel by itself.

Memory path

Elapsed time is not HBM traffic, power, energy, water, or cost; those require synchronized same-run telemetry.

Useful work / business implication

This line contributes timing evidence rather than useful model work. A trustworthy interval can turn kernel or transfer behavior into latency, throughput, energy, and cost denominators when it is joined to the same accepted output.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This call enqueues an asynchronous CUDA copy on the supplied stream.

Source

The arguments declare source, destination, byte count, transfer direction, and stream ordering.

Runtime / compiler

The CUDA runtime submits a copy operation that can overlap with other stream work subject to dependencies.

GPU execution

A copy engine or runtime-managed transfer path may perform the movement; this source does not prove the selected engine.

Memory path

Direction and byte-count arguments bound the requested movement; physical link, cache interaction, timing, and observed HBM traffic need a receipt.

Useful work / business implication

This line requests data movement. Direction, byte count, source and destination tiers, overlap, and achieved bandwidth determine latency and energy exposure. The source text alone does not prove the physical route or completed transfer.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This wrapped CUDA call blocks the host until all previously submitted work on `stream` completes.

Source

CUDA_CHECK surfaces synchronization failure after the runtime waits for the stream completion point.

Runtime / compiler

The host thread waits; this closes the asynchronous interval before reading results or reporting timing.

GPU execution

It waits on already selected device work and does not choose a kernel, SM, warp, or copy engine.

Memory path

Synchronization can expose transfer or kernel completion but does not itself report cache, HBM bytes, power, or energy.

Useful work / business implication

This line creates an ordering boundary. It can expose idle time, prevent unsafe overlap, or lengthen the critical path. Its business effect appears in accepted-task latency and throughput, not in the synchronization call by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This shell assignment reads the first GPU's compute capability and removes the decimal point to form an `sm` target such as `90`.

Source

Command substitution stores the normalized architecture number in the shell variable `sm`.

Runtime / compiler

The later nvcc command uses the value as its compile target; this probe does not compile by itself.

GPU execution

Querying device capability launches no workload kernel.

Memory path

The query records no tensor placement, cache behavior, or HBM traffic.

Useful work / business implication

If this compiler representation changes generated code or portability, it can change performance and engineering burden. Inspect the final executable and measured run before making a platform decision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This command compiles `kernel_src` into a cubin targeted at the detected `sm` architecture.

Source

nvcc reads the CUDA source and writes `kernel_only.cubin` in the output directory.

Runtime / compiler

The CUDA toolchain lowers source into target machine code; compilation is not a workload launch.

GPU execution

The cubin can contain instructions for the detected architecture, but no SM executes them until a later load and launch.

Memory path

Compiler output can be inspected for memory instructions but proves no runtime addresses, cache outcomes, or HBM bytes.

Useful work / business implication

If this compiler representation changes generated code or portability, it can change performance and engineering burden. Inspect the final executable and measured run before making a platform decision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This shell command extracts embedded PTX text from the pinned CUDA binary for inspection.

Source

cuobjdump reads the cubin file and writes a textual PTX artifact.

Runtime / compiler

This is artifact inspection after compilation, not workload execution.

GPU execution

No device instruction, warp, SM, or tensor core executes because of the inspection command.

Memory path

The command reads host storage and writes host output; it proves no GPU-cache or HBM traffic.

Useful work / business implication

If this compiler representation changes generated code or portability, it can change performance and engineering burden. Inspect the final executable and measured run before making a platform decision.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `No scene-bound example for this phase and tab. Capture the pinned cubin, then save cuob…` contributes to the surrounding Executable instruction stream statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The device-ISA plane uses `No scene-bound example for this phase and tab. Capture the pinned cubin, then save cuob…` as an instruction or binary-level declaration.

Runtime / compiler

The driver loads a compiled binary and the scheduler issues the instruction only in a real launch.

GPU execution

Opcode and target architecture identify a possible execution unit; active warp/wavefront and issue slot require a trace.

Memory path

Memory opcodes imply an address space, but address, cache hit, transaction count, and HBM bytes require runtime counters.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This command writes the selected NVIDIA device's detailed `nvidia-smi -q` inventory and telemetry snapshot to the receipt directory.

Source

The shell redirects the device query into `nvidia-smi-q.txt`.

Runtime / compiler

It captures host-visible device state and does not launch the target workload.

GPU execution

No workload kernel or execution unit is selected.

Memory path

The report can contain capacity and device telemetry, but it is not per-operation HBM traffic or same-run task energy by itself.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This command records the host-visible NVIDIA device topology matrix in the receipt directory.

Source

The shell redirects `nvidia-smi topo -m` output to `nvidia-smi-topo.txt`.

Runtime / compiler

It inventories possible peer and host paths; it does not prove that the workload used one.

GPU execution

No kernel or GPU execution unit is selected.

Memory path

Topology labels constrain possible movement paths but do not report bytes, link use, HBM traffic, or timing.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This command records DCGM's discoverable GPU inventory and tolerates an unavailable DCGM installation.

Source

Output and errors go to `dcgm-discovery.txt`; `|| true` keeps the surrounding capture script running on failure.

Runtime / compiler

It probes monitoring availability and does not launch the model.

GPU execution

No workload execution unit is selected.

Memory path

Discovery proves no tensor placement, transfer, HBM traffic, power, or energy.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This command runs the declared target under Nsight Systems and requests the named trace domains.

Source

The CLI configures trace collection and an output artifact around the child process.

Runtime / compiler

Instrumentation can capture CUDA, NVTX, OS-runtime, and timing events and can add measurement overhead.

GPU execution

Profiler configuration does not select a workload kernel or GPU execution unit.

Memory path

A resulting trace may correlate transfers and kernels, but this command alone proves no tensor residency or HBM byte count.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation argument asks Nsight Systems to trace CUDA, NVTX, and OS-runtime events.

Source

The option configures which event domains appear in the generated timeline.

Runtime / compiler

Tracing wraps the later target command and can add collection overhead.

GPU execution

It observes API and timing events but does not select a workload kernel.

Memory path

The event domains can expose transfer calls, but counters and HBM bytes still require the captured trace.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation argument disables periodic CPU instruction-pointer sampling during the Nsight Systems capture.

Source

The trace keeps the requested event domains without CPU sampling records.

Runtime / compiler

It changes profiler collection overhead and report contents, not workload semantics.

GPU execution

No GPU execution unit is selected.

Memory path

The option reports no tensor placement, transfer size, or HBM traffic.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation argument allows the profiler to replace an existing output artifact at the chosen path.

Source

The capture does not stop merely because a prior file uses the same output name.

Runtime / compiler

It changes output-file handling only.

GPU execution

No GPU execution unit is selected.

Memory path

It changes host filesystem behavior, not GPU memory traffic.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation argument names the `timeline` output inside the receipt directory.

Source

Nsight Systems writes the captured artifact under the declared output prefix.

Runtime / compiler

It controls host artifact placement, not model dispatch.

GPU execution

No GPU execution unit is selected.

Memory path

The output path records no HBM movement until a real capture is produced.

Useful work / business implication

This line exposes or stores a result for the next layer. Its value depends on whether the output satisfies the acceptance rule and whether producing and retaining it can be traced to the same runtime and resource interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This final shell line executes the exact command and arguments passed into the capture wrapper.

Source

The wrapper preserves argument boundaries and runs the caller-supplied target under Nsight Systems.

Runtime / compiler

The target command determines which engine, compiler, and workload paths actually execute.

GPU execution

Only the target's later dispatch can select kernels and GPU execution units.

Memory path

Only the target plus captured trace can establish tensor movement, cache behavior, or HBM traffic.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the `join_receipts` callable contract used by One run ID joins code, HBM, fabric, power, cooling, water, and cost; the body runs only when called. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `join_receipts` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This documentation line explains `Join one run or fail closed without inventing downstream values.`; it executes nothing. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `by_kind = {receipt.kind: receipt for receipt in receipts}` for later source in One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `by_kind = {receipt.kind: receipt for receipt in receipts}` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `run_ids = {receipt.run_id for receipt in receipts if receipt.run_id}` for later source in One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `run_ids = {receipt.run_id for receipt in receipts if receipt.run_id}` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `missing = [kind for kind in REQUIRED_RECEIPTS if kind not in by_kind]` for later source in One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `missing = [kind for kind in REQUIRED_RECEIPTS if kind not in by_kind]` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `if len(run_ids) != 1 or missing:` when the surrounding code executes. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `if len(run_ids) != 1 or missing:` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line returns `return {` to the caller of the surrounding function. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `return {` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line exposes or stores a result for the next layer. Its value depends on whether the output satisfies the acceptance rule and whether producing and retaining it can be traced to the same runtime and resource interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `status = (` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `status = (` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `"INVALID / MIXED RUN IDS"` contributes to the surrounding One run ID joins code, HBM, fabric, power, cooling, water, and cost statement. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `"INVALID / MIXED RUN IDS"` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `if len(run_ids) > 1` when the surrounding code executes. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `if len(run_ids) > 1` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `else "ARCHITECTURE ONLY / RUN NOT CAPTURED"` when the surrounding code executes. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `else "ARCHITECTURE ONLY / RUN NOT CAPTURED"` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `run_id = None` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `run_id = None` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `missing_receipts = missing` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `missing_receipts = missing` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `hbm_bytes = None, "fabric_bytes": None` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `hbm_bytes = None, "fabric_bytes": None` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `device_energy_j = None, "facility_energy_kwh": None` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `device_energy_j = None, "facility_energy_kwh": None` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `cooling_energy_kwh = None, "water_liters_consumed": None` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `cooling_energy_kwh = None, "water_liters_consumed": None` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `cost_per_accepted_patch_usd = None` as an exact configuration value used by One run ID joins code, HBM, fabric, power, cooling, water, and cost. The excerpt line is exact, but the upstream file line number is not registered.

Source

The evidence layer uses `cost_per_accepted_patch_usd = None` to configure or join profiler/trace collection.

Runtime / compiler

Instrumentation may wrap a target process and write a trace, report, or receipt; it can add overhead.

GPU execution

Profiler configuration observes rather than selects workload execution units.

Memory path

Only a captured, same-run artifact can establish transfers, residency, stalls, or HBM counters; source code alone cannot.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line can make a bottleneck observable and therefore reduce decision risk. It creates value through a trustworthy diagnosis, not through the profiler command by itself.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the `main` callable contract used by Joined power + memory NVML sample (Touchdown teaching fixture); the body runs only when called. The excerpt line is exact, but the upstream file line number is not registered.

Source

The resource-accounting layer uses `main` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line initializes the NVML client library before any device telemetry query.

Source

The Python process opens NVML state needed by later handle and metric calls.

Runtime / compiler

It initializes host telemetry access; it does not initialize the model runtime or compile device code.

GPU execution

No GPU execution unit is selected.

Memory path

No capacity, bandwidth, HBM traffic, power, energy, or cost is measured by initialization.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line resolves GPU index 0 to the NVML device handle used by the later telemetry samples.

Source

The returned opaque handle identifies the parent device for subsequent NVML calls.

Runtime / compiler

This is host-side device selection for telemetry, not serving-engine placement.

GPU execution

No kernel or GPU execution unit is selected.

Memory path

Selecting a device handle does not measure that device's HBM residency, traffic, power, or task attribution.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line asks NVML for the selected device's capacity snapshot.

Source

NVML returns total, free, and used memory counters for the device handle.

Runtime / compiler

The host reads telemetry; no allocation or tensor movement is requested.

GPU execution

No GPU execution unit is selected.

Memory path

Used capacity is not bandwidth, per-tensor residency, cache behavior, or HBM read/write bytes.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `sample = {` for later source in Joined power + memory NVML sample (Touchdown teaching fixture). The excerpt line is exact, but the upstream file line number is not registered.

Source

The resource-accounting layer uses `sample = {` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line records a host wall-clock timestamp in nanoseconds beside the telemetry sample.

Source

The timestamp becomes a join key candidate for aligning this record with other host-side events.

Runtime / compiler

It calls the host clock and does not affect model scheduling or compilation.

GPU execution

No GPU execution unit is selected or timed directly.

Memory path

A host timestamp alone does not align GPU clocks or prove HBM traffic, energy, cooling, water, or cost.

Useful work / business implication

This line contributes timing evidence rather than useful model work. A trustworthy interval can turn kernel or transfer behavior into latency, throughput, energy, and cost denominators when it is joined to the same accepted output.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line samples the parent device's instantaneous NVML power reading and converts milliwatts to watts.

Source

The Python binding asks NVML for one power sample from the selected device handle.

Runtime / compiler

The host records telemetry; it does not change model scheduling or compile a kernel.

GPU execution

The sample is device-level telemetry and is not attributed to an SM, tensor core, memory controller, or HBM stack.

Memory path

It is power, not task energy, HBM-only power, cooling, water, or cost; time integration and allocation to the same run are required.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line copies NVML's device-wide used-memory counter into the emitted sample as bytes.

Source

The dictionary stores the `memory.used` snapshot under an explicit unit-bearing key.

Runtime / compiler

It formats already returned telemetry and does not allocate, free, or move a tensor.

GPU execution

The counter is device-wide and is not attributed to one kernel or execution unit.

Memory path

Used capacity is not per-task residency, bandwidth, cache behavior, or HBM read/write bytes.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself. The excerpt line is exact, but the upstream file line number is not registered.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the process's NVML client state after the samples have been collected.

Source

The Python binding releases NVML resources held by the process.

Runtime / compiler

It ends host telemetry access and does not stop the model runtime or reset the GPU.

GPU execution

No GPU execution unit is selected.

Memory path

It releases client state, not model tensors or HBM allocations, and records no traffic or energy.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line serializes the joined telemetry dictionary as JSON and writes it to standard output.

Source

json.dumps produces the text record and print emits it for a caller or receipt pipeline.

Runtime / compiler

This is host-side formatting and output after sampling.

GPU execution

No GPU execution unit is selected.

Memory path

The emitted fields remain device snapshots; they are not automatically same-run task energy, HBM traffic, water, or cost.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line binds or updates `REQUIRED_RECEIPTS = {` for later source in Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `REQUIRED_RECEIPTS = {` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `request = "prompt, task, tool schema, model and tokenizer identity"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `request = "prompt, task, tool schema, model and tokenizer identity"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `software = "Hermes, engine, model revision, precision tuple and config"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `software = "Hermes, engine, model revision, precision tuple and config"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `kernel = "dispatch, executable, architecture, profiler and correctness"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `kernel = "dispatch, executable, architecture, profiler and correctness"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line submits candidate device work. Launch count, geometry, dependency order, occupancy, and the selected executable can change latency and utilization, but submission is not proof that the intended kernel completed correctly.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `hbm = "time-aligned read/write bytes and allocator state"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `hbm = "time-aligned read/write bytes and allocator state"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

This line requests storage; allocator, device, shape, dtype, lifetime, and runtime state determine whether and how many bytes occupy HBM.

Useful work / business implication

This line requests or defines storage. It can change admitted batch or context size, allocator latency, fragmentation, and out-of-memory risk. It does not prove physical HBM residency or bytes moved until the allocation, address, device, and same-run memory receipt are joined.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `fabric = "link, source, target, bytes, direction and transfer interval"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `fabric = "link, source, target, bytes, direction and transfer interval"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line requests data movement. Direction, byte count, source and destination tiers, overlap, and achieved bandwidth determine latency and energy exposure. The source text alone does not prove the physical route or completed transfer.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `power = "time-aligned device/node/facility meter samples"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `power = "time-aligned device/node/facility meter samples"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

Capacity, instantaneous power, energy, cooling, water, and cost are distinct quantities and require time alignment plus a same-run allocation boundary.

Useful work / business implication

This line participates in resource accounting. It becomes decision-grade only when the declared measurement boundary, synchronized time window, price or asset model, failures, and accepted-output count share the same run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `cooling = "declared heat boundary, equipment mode and allocated energy"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `cooling = "declared heat boundary, equipment mode and allocated energy"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

This line requests storage; allocator, device, shape, dtype, lifetime, and runtime state determine whether and how many bytes occupy HBM.

Useful work / business implication

This line requests or defines storage. It can change admitted batch or context size, allocator latency, fragmentation, and out-of-memory risk. It does not prove physical HBM residency or bytes moved until the allocation, address, device, and same-run memory receipt are joined.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `water = "declared site boundary and measured or allocated consumed water"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `water = "declared site boundary and measured or allocated consumed water"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

This line requests storage; allocator, device, shape, dtype, lifetime, and runtime state determine whether and how many bytes occupy HBM.

Useful work / business implication

This line requests or defines storage. It can change admitted batch or context size, allocator latency, fragmentation, and out-of-memory risk. It does not prove physical HBM residency or bytes moved until the allocation, address, device, and same-run memory receipt are joined.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line declares `cost = "tariff, GPU/capacity allocation, retries and accepted outcome"` as an exact configuration value used by Fail-closed resource and facility boundary.

Source

The resource-accounting layer uses `cost = "tariff, GPU/capacity allocation, retries and accepted outcome"` to sample, normalize, or join telemetry and cost inputs.

Runtime / compiler

Host code can record a sample or compute an allocation after the declared function is executed.

GPU execution

Resource accounting is not a kernel dispatch and is not automatically attributable to a particular GPU unit.

Memory path

This line requests storage; allocator, device, shape, dtype, lifetime, and runtime state determine whether and how many bytes occupy HBM.

Useful work / business implication

This line requests or defines storage. It can change admitted batch or context size, allocator latency, fragmentation, and out-of-memory risk. It does not prove physical HBM residency or bytes moved until the allocation, address, device, and same-run memory receipt are joined.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line closes the surrounding expression or code block and adds no operation by itself.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line can connect the technical interval to energy or money only when power boundary, time, tariff or asset model, failures, and accepted outputs share one run identity.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the `get_computed_blocks` callable contract used by vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup); the body runs only when called.

Source

The engine/control layer uses `get_computed_blocks` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This documentation line explains `Get the computed (cached) blocks for the request.`; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `Note that the computed blocks must be full.` contributes to the surrounding vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup) statement.

Source

The engine/control layer uses `Note that the computed blocks must be full.` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation line declares or passes `Args:` as part of the surrounding call or signature in vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup).

Source

The engine/control layer uses `Args:` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation line declares or passes `request: The request to get the computed blocks.` as part of the surrounding call or signature in vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup).

Source

The engine/control layer uses `request: The request to get the computed blocks.` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation line declares or passes `Returns:` as part of the surrounding call or signature in vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup).

Source

The engine/control layer uses `Returns:` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `A tuple containing:` contributes to the surrounding vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup) statement.

Source

The engine/control layer uses `A tuple containing:` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `- A list of blocks that are computed for the request.` contributes to the surrounding vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup) statement.

Source

The engine/control layer uses `- A list of blocks that are computed for the request.` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line repeats work. Iteration count, exit conditions, retries, and the body’s state movement can multiply latency, energy, and cost; count completed and failed repetitions inside the accepted-task trace.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `- The number of computed tokens.` contributes to the surrounding vLLM v1 KVCacheManager.get_computed_blocks (real prefix-cache lookup) statement.

Source

The engine/control layer uses `- The number of computed tokens.` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This documentation line explains ``; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this runtime decision changes scheduling, reuse, retries, or state placement, it can change useful latency and infrastructure demand. Measure the full accepted workflow before assigning value.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This comment documents `We skip finding the prefix cache hit when prefix caching is` for the reader; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This comment documents `disabled or the request is marked as skipping kv cache read` for the reader; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This comment documents `(which happens when the request requires prompt logprobs` for the reader; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This comment documents `or calls a pooling model with all pooling).` for the reader; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line selects a control path using `if not self.enable_caching or request.skip_reading_prefix_cache:` when the surrounding code executes.

Source

The engine/control layer uses `if not self.enable_caching or request.skip_reading_prefix_cache:` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line returns `return self.empty_kv_cache_blocks, 0` to the caller of the surrounding function.

Source

The engine/control layer uses `return self.empty_kv_cache_blocks, 0` to define host-side orchestration, scheduling, caching, compilation, or launch behavior.

Runtime / compiler

When the surrounding path executes, the host runtime can use this line to prepare state or call a lower software layer.

GPU execution

A later operator or launch selects device code; this line alone identifies no SM/CU, warp/wavefront, or tensor-core work.

Memory path

The engine decision can change placement, reuse, and transfers, but source/destination, bytes, transport, and HBM traffic are unobserved.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the `MLAAttention` type used by vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary); its body defines structure and behavior.

Source

The operator layer uses `MLAAttention` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Attention can read query/key/value or KV-cache state and write outputs; shape, backend, tiling, cache outcome, and observed HBM bytes are unknown.

Useful work / business implication

This line expresses or selects attention. Sequence length, head geometry, precision, KV-state placement, tiling, and fusion determine reads, writes, reuse, and latency. The accepted workload must preserve output quality while measuring the same context and cache policy.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This documentation line explains `Multi-Head Latent Attention layer.`; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line expresses or selects attention. Sequence length, head geometry, precision, KV-state placement, tiling, and fusion determine reads, writes, reuse, and latency. The accepted workload must preserve output quality while measuring the same context and cache policy.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This continuation line declares or passes `NOTE: Please read the comment at the top of the file before trying to` as part of the surrounding call or signature in vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary).

Source

The operator layer uses `NOTE: Please read the comment at the top of the file before trying to` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

If this operation selects a better implementation or data layout, it can change the time and bytes required for a repeated model step. The operator name alone does not establish savings.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `understand this class` contributes to the surrounding vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) statement.

Source

The operator layer uses `understand this class` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

If this operation selects a better implementation or data layout, it can change the time and bytes required for a repeated model step. The operator name alone does not establish savings.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `This class takes query, and compressed key/value tensors as input.` contributes to the surrounding vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) statement.

Source

The operator layer uses `This class takes query, and compressed key/value tensors as input.` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

If this operation selects a better implementation or data layout, it can change the time and bytes required for a repeated model step. The operator name alone does not establish savings.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `The class does the following:` contributes to the surrounding vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) statement.

Source

The operator layer uses `The class does the following:` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

If this operation selects a better implementation or data layout, it can change the time and bytes required for a repeated model step. The operator name alone does not establish savings.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This blank line separates logical parts of the excerpt and executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

This line organizes, documents, imports, or closes the source. It has no standalone throughput, energy, or cost effect; its value is making the surrounding implementation understandable and buildable.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `1. Store the input key and value tensors in the KV cache.` contributes to the surrounding vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) statement.

Source

The operator layer uses `1. Store the input key and value tensors in the KV cache.` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

This line changes or describes state placement and reuse. It can avoid a slower transfer or consume scarce fast memory; the decision is valuable only when hit rate, residency, bytes avoided, latency, and accepted output are measured together.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line invokes the call chain `Perform` when vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) executes.

Source

The operator layer uses `Perform` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Attention can read query/key/value or KV-cache state and write outputs; shape, backend, tiling, cache outcome, and observed HBM bytes are unknown.

Useful work / business implication

This line expresses or selects attention. Sequence length, head geometry, precision, KV-state placement, tiling, and fusion determine reads, writes, reuse, and latency. The accepted workload must preserve output quality while measuring the same context and cache policy.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This exact expression `3. Return the output tensor.` contributes to the surrounding vLLM MLAAttention (real Multi-Head Latent Attention / KV boundary) statement.

Source

The operator layer uses `3. Return the output tensor.` to define or invoke a tensor operation and its arguments.

Runtime / compiler

Framework dispatch and backend selection resolve the implementation only when this path is called with real tensors and device state.

GPU execution

The line names operator semantics, not the selected kernel, launch geometry, SM/CU, warp/wavefront, or tensor-core instruction.

Memory path

Tensor shapes, strides, dtype, backend, and cache state determine reads, writes, temporaries, and HBM traffic; none are observed here.

Useful work / business implication

This line exposes or stores a result for the next layer. Its value depends on whether the output satisfies the acceptance rule and whether producing and retaining it can be traced to the same runtime and resource interval.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This documentation line explains ``; it executes nothing.

Source

This line changes reader structure or documentation only; it does not request a computation.

Runtime / compiler

No runtime or compiler action is caused by this displayed line.

GPU execution

No SM, CU, tensor core, warp, wavefront, copy engine, or kernel is selected.

Memory path

No allocation, transfer, cache access, HBM traffic, power, energy, water, or cost is proved.

Useful work / business implication

If this operation selects a better implementation or data layout, it can change the time and bytes required for a repeated model step. The operator name alone does not establish savings.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.

This line begins the `GlmMoeDsaForCausalLM` type used by vLLM GlmMoeDsaForCausalLM class + registry mapping (real engine load path); its body defines structure and behavior. The excerpt line is exact, but the upstream file line number is not registered.

Source

The model/configuration layer consumes `GlmMoeDsaForCausalLM` while defining architecture, tensor metadata, or loader behavior.

Runtime / compiler

A loader or engine may use this declaration to create modules, parameter groups, shapes, or dtypes before dispatch.

GPU execution

This source line does not select an operator backend, kernel, SM/CU, warp/wavefront, or tensor core.

Memory path

Routed-expert work can change weight reuse, token exchange, and HBM demand; selected experts, bytes, and residency require the actual request trace.

Useful work / business implication

If this field changes model shape, tensor precision, or compatibility, it can change memory capacity, hardware eligibility, and quality risk. Those consequences require a loaded model and accepted-work replay.

Evidence

Source-derived only. Dispatch, tensor values, addresses, HBM bytes, latency, power, energy, cooling, water, cost, and accepted output remain unobserved unless a same-run receipt explicitly supplies them.