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This change implements the first groundwork item of #8928 ("Docs: the naming rules and the target table"). It adds the ten naming rules from the issue to docs/training_backend_names.md. Modules are named flashinfer.cake_<op>_<mode>_train[_kcp], where the mode is det or nondet. Each module has a matching autograd functional, Function class, verb-suffixed helpers that use forward/backward (never fwd/bwd), an is_<module>_supported query and a type pattern. No entry point takes deterministic=. Under torch.use_deterministic_algorithms(True), nondet raises PyTorch's alert at its non-deterministic step. With warn_only=True, it warns and runs nondet. It never falls back to det, and det never alerts. There are no aliases, so old names fail at import. Name parts always follow the order op -> mode -> train -> kcp -> verb.
The doc also includes the target table for every family: RMSNorm, SiLU-gated RMSNorm, causal conv1d, mHC, mHC head, GDN, KDA, LM head, MoE grouped GEMM, dense GEMM, DSA indexer, DSA sparse attention and GQA HD256. It adds the KCP entry example using KDA det and the decisions from the issue: GDN nondet stays, mHC head becomes its own family, and missing versions keep their reserved names. The existing per-family sections, which today cover only the LM head, move under a "Current names" heading. They stay in effect until each family's rename PR lands. Families will be renamed one per PR, and each PR will carry its own migration table and update that family's rows in this file.
This is a docs-only change with no code changes. Part of #8928.
Summary by CodeRabbit
Documentation
Added naming guidance and examples for CAKE training families, including determinism modes, KCP routing, and reserved or separately named families.
Documented LM-head and GQA HD256 non-deterministic name migrations, alias availability, deterministic-algorithm behavior, and unchanged build identities.
… target table
Add the naming scheme of issue flashinfer-ai#8928 for every CAKE training family: the ten
rules, the target table of module, autograd entry and class names per family,
mode and route, the KCP entry example and the decisions. The existing per-family
sections move under "Current names"; they stay in effect until each family's
rename lands.
The documentation defines naming rules and target names for CAKE training families. It also records migration mappings and behavior notes for the GQA HD256 non-deterministic family.
Changes: CAKE training backend names
Layer / File(s)
Summary
Naming rules and target names docs/training_backend_names.md
Defines name components and target names across training families, including deterministic modes and KCP routes. Records family decisions and updates LM-head section headings.
Maps old module, package, function, workspace, and backend type names to new names. Documents alias and deterministic-algorithm behavior, and lists unchanged build identities and internal helper names.
flashinfer-ai/flashinfer issue 8928: The documentation covers the CAKE training naming rules and target names described by the issue.
Merge Risk: Low · up to b0d1f
The naming guidance is mergeable with a bounded documentation follow-up: clarify multi-entry patterns before using it to implement family renames.
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… word
The module path already qualifies a module constant such as ARCHES; every other
public name, including helper functions, classes and types, carries the mode
word.
The DSA indexer det module exports cake_dsa_indexer_det_train_topk and
cake_dsa_indexer_det_train_topk_workspace_size; the family has no autograd
Function (forward-only top-k selection). The row also lists its current names.
The non-deterministic DSA sparse attention module exports the rope and nope
entries with their varlen forms and three autograd Functions; the row also
lists the current names.
…GQA HD256 nondet
Add a section for the per-family old-to-new tables; each takes effect when its
family's rename PR merges. The first is the GQA HD256 non-deterministic package.
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LGTM, one nit: the GQA migration table says gqa_train_workspace becomes cake_gqa_nondet_train_workspace, but rule 4 says helper names take a verb suffix (_forward, _backward, _workspace_bytes). _workspace isn't one of those verbs.
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Actionable comments posted: 1
Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @docs/training_backend_names.md:
- Around line 19-20: Update the Autograd functional and class naming rules in
the documentation to support families with multiple entries, then align the mHC
prepare/finish and LM head table entries with those patterns so each entry has a
distinct, unambiguous name.
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docs/training_backend_names.md
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yyihuang
changed the title
docs: add training backend naming rules and target table
docs: add autograd backend naming rules and target table
Nov 6, 2026
…policy
Sync with main 98fd797 (flashinfer-ai#8936 DSA indexer det rename, flashinfer-ai#8921, flashinfer-ai#8947,
flashinfer-ai#8930, flashinfer-ai#8937). One conflict: the .pre-commit-config.yaml exclude line.
Take main's line (with experimental/cake/cake_dsa_indexer_det_train/csrc/)
and re-apply this branch's mHC change on it (cake_mhc_det_train_backend
and experimental/cake/cake_mhc_train_backend -> the det, head_det and
nondet csrc trees under experimental/cake/).
…by its mode (#8928) (#8939)
## Description
This PR renames the GQA HD256 training package to
`flashinfer.cake_gqa_nondet_train`. The new name states the mode of the
package: `nondet`.
Issue #8928 renames every Cake training kernel delivered for Perplexity.
After the rename, each name states its mode (`det` or `nondet`). The
issue also removes the `deterministic=` keyword. The rename adds no
aliases, so old names fail at import. Each kernel family gets one PR
with a migration table. This PR covers the GQA HD256 family.
**Why `nondet`.** The GQA HD256 family has only a non-deterministic
implementation today:
- The forward is fixed-order.
- The backward uses atomic FP32 reductions to add the dQ partials of the
key blocks.
- With a row map, the backward also uses atomic FP32 reductions to add
the dK / dV window rows into caller-owned destinations.
Because of these atomic reductions, the gradients are not bitwise
reproducible from run to run. The name `flashinfer.cake_gqa_det_train`
is reserved for a planned deterministic implementation. This PR does not
add it.
**New facade module.** `flashinfer.cake_gqa_nondet_train` is a new
stable facade module.
- Its entries use `@flashinfer_api` instead of the experimental
decorator. They emit no `ExperimentalWarning`.
- The module imports its backend lazily, on first use. Importing the
module imports no backend.
- The module re-exports three backend objects. Each object resolves on
first access.
| Re-export | What it is |
|---|---|
| `CakeGQANondetFunction` | Autograd class |
| `CakeGQANondetWorkspace` | Workspace type |
| `CakeGQANondetDkvAccSource` | Type of the `dkv_acc` callable |
`__all__` contains these names:
- `cake_gqa_nondet`
- `cake_gqa_nondet_train_forward`
- `cake_gqa_nondet_train_backward`
- `cake_gqa_nondet_train_workspace`
- `cake_gqa_nondet_train_workspace_bytes`
- `CakeGQANondetFunction`, `CakeGQANondetWorkspace`,
`CakeGQANondetDkvAccSource`
**Deterministic mode (rule 8).** No entry takes a `deterministic`
keyword. If you pass one, the call raises `TypeError`.
| `torch.use_deterministic_algorithms` | Forward | Backward |
|---|---|---|
| `True` | Runs | Raises PyTorch's alert (`RuntimeError`) |
| `True, warn_only=True` | Runs | Emits one `UserWarning` per call, then
runs the non-deterministic backward |
- The backward here is `cake_gqa_nondet_train_backward`. It is also the
backward of `cake_gqa_nondet`.
- The alert comes after the argument checks, including the checks of
caller-provided `dq` / `dk` / `dv`. It comes before the backward
allocates its outputs or scratch, and before any launch.
- A backward with no (query, key) pair launches nothing. It does not
alert.
- Nothing falls back to a deterministic implementation.
- The backend raises the alert itself, because PyTorch has no public
Python entry for its alert.
- The check reads `torch.are_deterministic_algorithms_enabled()` and
`torch.is_deterministic_algorithms_warn_only_enabled()` when the
backward runs.
### Migration
| Old | New |
|---|---|
| `flashinfer.gqa_train` (module) | `flashinfer.cake_gqa_nondet_train` |
| `flashinfer.experimental.cake_gqa_train` (backend package, directory
`flashinfer/experimental/cake_gqa_train/`) |
`flashinfer.experimental.cake.cake_gqa_nondet_train` (directory
`flashinfer/experimental/cake/cake_gqa_nondet_train/`; same submodules:
`cake_backend`, `cake_jit`, `cake_build`) |
| `varlen_gqa_attention` | `cake_gqa_nondet` |
| `varlen_gqa_attention_fwd` / backend `gqa_attention_fwd` |
`cake_gqa_nondet_train_forward` |
| `varlen_gqa_attention_bwd` / backend `gqa_attention_bwd` |
`cake_gqa_nondet_train_backward` |
| `gqa_train_workspace` | `cake_gqa_nondet_train_workspace` |
| `gqa_train_workspace_bytes` / backend `workspace_bytes` |
`cake_gqa_nondet_train_workspace_bytes` |
| backend `VarlenGQAAttentionFunction` | `CakeGQANondetFunction` |
| backend `Workspace` | `CakeGQANondetWorkspace` |
| backend `DkvAccSource` | `CakeGQANondetDkvAccSource` |
Only the names change. Signatures and keyword arguments do not change.
There are no aliases.
```python
# Before
from flashinfer.gqa_train import varlen_gqa_attention, gqa_train_workspace
# After
from flashinfer.cake_gqa_nondet_train import cake_gqa_nondet, cake_gqa_nondet_train_workspace
```
### Unchanged
This PR keeps the build identities and the internals:
- Kernels, programs, launch plans and numerics.
- Program and library stems: `cake_gqa_train_<20 hex>[_<arch>]`.
- Kernel symbols: `kernel_cake_gqa_train_<20 hex>`.
- `csrc` file names. The files move by pure renames. Their bytes are
identical.
- `cake_jit.LIBRARY_PREFIX = "cake_gqa_train"`.
- `build.json`: only `"package"` changes (and with it
`cake_jit.PACKAGE`).
- Internal backend helpers keep their names: `default_workspace`,
`load`, `record`, `stage_record`, `library_name`, `run_record`,
`parameters`, `specs_for_arch`, `is_prebuilt`, `device_arch`,
`sm_count`, `arch_for_capability`.
- ALL_CAPS constants keep their names: `ARCHES`, `HEAD_DIM`,
`ARCH_BY_CAPABILITY`.
### Other edits
| Area | Path | Change |
|---|---|---|
| Device tests | `tests/experimental/test_cake_gqa_train.py` →
`test_cake_gqa_nondet_train.py` | Renamed. Adds device tests for rule 8
(see below). |
| API tests | `test_cake_gqa_train_api.py` →
`test_cake_gqa_nondet_train_api.py` | Renamed. Updated checks (see
below). |
| Name tests (new, CPU only) |
`tests/experimental/test_cake_gqa_nondet_train_names.py` | New file (see
below). |
| Bench | `benchmarks/bench_cake_gqa_train.py` →
`benchmarks/bench_cake_gqa_nondet_train.py` | Imports only. |
| Backend README | Backend package | New names and paths. New
Determinism section. |
| API docs (new) | `docs/api/cake_gqa_nondet_train.rst`,
`docs/index.rst` | A page for the stable facade. |
| Cake namespace | `flashinfer/experimental/cake/__init__.py` | The
namespace docstring now describes the det and nondet backends of #8928.
Every family PR uses the same text, so identical edits merge cleanly. |
| Packaging and checks | `pyproject.toml`,
`scripts/check_cake_build_manifests.py`,
`tests/test_helpers/cake_package.py` | Package-data key. Package row.
Key `cake.cake_gqa_nondet_train`. |
| Top-level package | `flashinfer/__init__.py` | Not touched. The family
has no top-level re-exports. |
New device tests for rule 8 in `test_cake_gqa_nondet_train.py`:
- In deterministic mode, the forward runs silently.
- In deterministic mode, the backward raises before any allocation or
launch: caller-provided `dq` / `dk` / `dv` keep their contents. The
tests cover the low-level entry and autograd.
- An empty backward runs without an alert.
- With `warn_only`, each backward gives exactly one `UserWarning`. Its
results are the same as outside deterministic mode for each dK/dV form.
Checks in `test_cake_gqa_nondet_train_api.py`:
- The entries are stable APIs. They emit no `ExperimentalWarning`.
- The re-exports are the backend objects.
- Importing the module imports no backend.
Checks in `test_cake_gqa_nondet_train_names.py` (CPU only):
- Every public name contains the mode word `nondet` as a token.
- `inspect.signature(...).bind_partial(deterministic=False)` raises
`TypeError` for these objects: the 5 facade entries, the 4 forwarded
backend functions, `CakeGQANondetWorkspace` and
`CakeGQANondetFunction.forward`.
- Each facade entry raises `TypeError` when called with
`deterministic=True` or `deterministic=False`.
- The former module paths raise `ModuleNotFoundError`.
- The former names are absent from the facade, the backend and
`flashinfer`.
- Only the alert reads torch's deterministic mode.
- The `build.json` package and the build identity.
## Related Issues
- Part of #8928 (GQA HD256 family).
- #8930 (docs) contains the naming rules and the target table.
- Open PR #8562 adds training-vs-rollout parity tests for HD256 GQA. It
imports `flashinfer.gqa_train.varlen_gqa_attention_fwd` and calls
`cake_package("cake_gqa_train")`. The PR that merges second must use the
new names:
- `flashinfer.cake_gqa_nondet_train.cake_gqa_nondet_train_forward`
- `cake_package("cake.cake_gqa_nondet_train")`
## Tests
Head `05e2ec23`, cluster runs in the CUDA 13.4 development image (torch
2.14.1+cu130), against base `41eaacb5` on the same node.
**B200 (sm_100a)**
| Suite | Tests | Passed | Failed | Skipped |
|---|---|---|---|---|
| `tests/experimental/test_cake_gqa_nondet_train.py`, one GPU | 40 | 39
| 0 | 1 (needs two GPUs; next row) |
| `tests/experimental/test_cake_gqa_nondet_train.py -k
test_launches_on_the_operands_device_and_stream`, two GPUs | 1 | 1 | 0 |
0 |
| `tests/experimental/test_cake_gqa_nondet_train_api.py` | 9 | 9 | 0 | 0
|
| CPU: `test_cake_gqa_nondet_train_names.py`, `test_containment.py`,
`tests/cpu/test_build_backend_slim_wheel.py` | 18 | 18 | 0 | 0 |
| Base `41eaacb5`, old `test_cake_gqa_train.py` (one GPU + two GPUs) |
36 | 35 | 0 | 1 |
| Base `41eaacb5`, old `test_cake_gqa_train_api.py` | 8 | 8 | 0 | 0 |
Other checks on the same head:
- `python -P scripts/check_cake_build_manifests.py`: 44 packages, 0
findings.
- `scripts/check_cake_build_manifests.py --vendored-gate --package
cake_gqa_nondet_train --arch sm_100a`: passed (the vendored copy, with
`flashinfer` blocked, compiled and loaded 6 of 6 programs).
- pre-commit on the changed files: passed.
- `scripts/check_pr_document.py`: no new findings.
- `scripts/check_pr_api_diff.py`: one warning, `flashinfer.gqa_train`
was deleted (see Reviewer Notes).
**GB300 (sm_103a)**: queued; the same runs, plus the backend suite on
the vendored copy with `flashinfer` blocked, follow in a comment when
the node runs. The kernels and `csrc` are byte-identical renames, and
the one runtime change (the backward's alert before its outputs are
allocated) is host code.
## Reviewer Notes
**1. Old-name grep allowlist.** A whole-word, fully-qualified grep for
every old name and path finds them only in these places:
| Location | Reason |
|---|---|
| Moved `csrc/**` file names and kernel symbols | Build identity |
| `build.json` program, library and source entries | Build identity.
Only `"package"` changes. |
| `cake_jit.py` `MODULES` record literals and `LIBRARY_PREFIX` | Build
identity |
| Removed-name lists in `test_cake_gqa_nondet_train_names.py`, and one
`AttributeError` check in `test_cake_gqa_nondet_train_api.py` | Tests
that check that the old names are gone |
An unqualified grep also finds `DkvAccSource` in
`flashinfer/experimental/cake_dsa_train/`. That is the DSA family's own
type, not a GQA name.
**2. Release wheel.** The PyPI wheel excluded the old backend's `csrc`
through the one-level rule `flashinfer/experimental/<pkg>/csrc`. The
rule does not match the new location under
`flashinfer/experimental/cake/`. As decided in
#8928 (comment),
the release wheel now ships this package's `csrc/**`.
**3. Standalone build (#6553).** The backend directory moved whole, with
`build.json`, `cake_build.py` and `csrc/cake_ffi_checks.h`. Its manifest
paths stay relative to the package. The backend imports only its own
modules; `cake_build.py` imports `flashinfer.jit` only on its JIT
fallback, as before. It has no KCP package and no `requires`. The
`PACKAGES` key in `tests/test_helpers/cake_package.py` is now
`cake.cake_gqa_nondet_train`. The vendored gate result
(`scripts/check_cake_build_manifests.py --vendored-gate --package
cake_gqa_nondet_train`) is in the Tests table.
**4. API checker warning.** `scripts/check_pr_api_diff.py` reports the
removed public module `flashinfer.gqa_train`. That is intended: #8928
removes the old names with no alias, so the old import fails. The
Migration table above documents the move.
**5. Merge order.** This PR does not depend on the other family PRs.
#8930 contains the rules text.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
* **New Features**
* Added a stable API for packed, variable-length causal GQA attention
training with head dimension 256, including forward, backward, autograd,
and workspace operations.
* The backward pass reports PyTorch deterministic-algorithm alerts when
applicable; in `warn_only` mode, it warns and continues. It does not
switch to a deterministic implementation.
* **Documentation**
* Added API guidance covering supported hardware, workspace use, and
reproducibility behavior.
* **Changes**
* The previous GQA training API paths and names have been removed; use
the new `cake_gqa_nondet_train` API instead.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
…aining entries and drop the deterministic routing (#8925)
## Description
On main, `flashinfer.chunked_lm_head_*` runs the deterministic LM head
package by default. It also falls back to that package when torch's
deterministic mode is on. With this PR, that routing no longer exists.
The deterministic LM head entries now live in a new stable top-level
module, `flashinfer.cake_lm_head_det_train`, and their names state the
mode.
This PR covers the deterministic LM head family under #8928. Under that
issue, Cake training kernel names state their mode, and there is no
`deterministic=` keyword and no alias. The non-deterministic side
(`flashinfer.cake_lm_head_nondet_train`) comes in a separate PR from its
owner. That PR merges right after this one.
`flashinfer.cake_lm_head_det_train` exports
`cake_lm_head_det_train_{loss,logprob,preload,support_logprob,support_kl}`
in `__all__`. These entries use `@flashinfer_api` instead of the
experimental decorator, so they emit no `ExperimentalWarning`. The
module imports the backend lazily.
No entry, forwarded backend entry or autograd `Function.forward` accepts
`deterministic`. Passing it raises `TypeError`. Old names fail at import
because there are no aliases.
The five non-deterministic `chunked_lm_head_*` dispatchers stay in
`flashinfer.chunked_lm_head` until the non-deterministic rename PR
replaces that module. If they are called without `deterministic=False`,
they raise `ValueError` and the message names the deterministic entry to
use. They never route to the deterministic package.
Kernels, programs and numerics are unchanged.
### Migration
| Old | New |
| --- | --- |
| `flashinfer.chunked_lm_head` (det entries) |
`flashinfer.cake_lm_head_det_train` |
| `chunked_lm_head_det_loss` | `cake_lm_head_det_train_loss` |
| `chunked_lm_head_det_logprob` | `cake_lm_head_det_train_logprob` |
| `chunked_lm_head_det_preload` | `cake_lm_head_det_train_preload` |
| `chunked_lm_head_det_support_logprob` |
`cake_lm_head_det_train_support_logprob` |
| `chunked_lm_head_det_support_kl` | `cake_lm_head_det_train_support_kl`
|
| `flashinfer.experimental.cake_lm_head_det_loss` |
`flashinfer.experimental.cake.cake_lm_head_det_train` (same submodules:
`cake_backend`, `cake_backend_opt_in`, `cake_support`, `cake_jit`,
`cake_build`) |
| backend
`chunked_lm_head_det_{loss,logprob,logprob_temperature,logprob_keep}` |
`cake_lm_head_det_train_{loss,logprob,logprob_temperature,logprob_keep}`
|
| opt-in `preload` | `cake_lm_head_det_train_preload` |
| `cake_support` `chunked_lm_head_det_support_{logprob,kl}` |
`cake_lm_head_det_train_support_{logprob,kl}` |
| `ChunkedLmHeadDetLossFunction` | `CakeLMHeadDetLossFunction` |
| `ChunkedLmHeadDetLogprobFunction` | `CakeLMHeadDetLogprobFunction` |
| `ChunkedLmHeadDetLogprobTemperatureFunction` |
`CakeLMHeadDetLogprobTemperatureFunction` |
| `ChunkedLmHeadDetLogprobKeepFunction` |
`CakeLMHeadDetLogprobKeepFunction` |
| `SupportDetLogprobFunction` | `CakeLMHeadDetSupportFunction` (one
class serves both support entries) |
| `flashinfer.experimental.cake_lm_head_loss` (alias package) | removed,
no replacement |
| the 12 pre-det names the det modules still defined | removed |
| `chunked_lm_head_*` without `deterministic=False` | `ValueError`
naming the det entry |
### Unchanged
The private module `flashinfer/_cake_lm_head_train_knobs.py` now holds
the shared env-var parsing. The code moved there unchanged. The
`FLASHINFER_CAKE_LM_HEAD_LOSS_*` variable names and their behaviour are
the same, and both modes read them.
These build identities and internal helpers keep their old names. In
`build.json`, only `"package"` changes.
| Kept | Items |
| --- | --- |
| Program/library stems | `cake_lm_head_det_loss_<20 hex>[_<arch>]` |
| Source directory | `csrc/cake_lm_head_det_loss/` |
| Kernel symbols | unchanged |
| `cake_jit` registry keys and loader |
`cake_lm_head_det_loss_sm_10{0,3,7}a`,
`load_cake_lm_head_det_loss_module` |
| Internal helpers (not forwarded by the facade) |
`prepare_lm_head_det_loss`, `validate_lm_head_det_inputs`,
`lm_head_det_loss_workspace_size`, `LmHeadDetLossRunner` |
### Other edits
| Area | Change |
| --- | --- |
| Tests and bench | Renamed to
`test_cake_lm_head_det_train{,_api,_host_state,_standalone,_support}.py`
and `bench_cake_lm_head_det_train.py` |
| New `tests/experimental/test_cake_lm_head_det_train_names.py` | Checks
the mode word by token. Checks that `bind_partial(deterministic=False)`
raises `TypeError` on 5 facade entries, 18 forwarded backend entries and
8 autograd forwards. Checks that old modules and names fail to import. |
| Non-deterministic package tests, bench and messages | Only the
deterministic names are substituted |
| `flashinfer/experimental/cake/__init__.py` | Namespace docstring now
covers both modes' backends |
| Docs and config | LM head sections of
`docs/training_backend_names.md`, env table rows in `CLAUDE.md`, the det
README, det paths in `.pre-commit-config.yaml` |
## Related Issues
- Part of #8928. This PR covers the LM head det family.
- Answers review
#8907 (review).
- The rules text is in #8930.
- The non-deterministic rename (`flashinfer.cake_lm_head_nondet_train`)
follows in a separate PR.
## Tests
Latest-head manual [CI run
42232082836](https://github.com/flashinfer-ai/flashinfer/actions/runs/42232082836)
at `d4f2513765ad017a1bd7b7574a69b183959dbded` passed: targeted H100
tests, all six AOT build/import jobs, and the summary. Final-head
B200/GB300 GPU tests and the B200 old/new accuracy and timing comparison
are documented below. Human review remains required.
These are CPU runs on an x86_64 compute node, head `892a2d5f` against
base `5199813` (the main merge).
At head, 1730 tests ran: 865 passed, 0 failed and 865 were skipped. At
base, 852 passed and 2 failed. The two base failures are
non-deterministic tests, and this PR fixes them.
| File | Passed | Skipped |
| --- | --- | --- |
| `test_cake_lm_head_det_train.py` | 347 | 211 |
| `test_cake_lm_head_det_train_api.py` | 12 | 3 |
| `test_cake_lm_head_det_train_host_state.py` | 4 | 13 |
| `test_cake_lm_head_det_train_names.py` | 14 | 0 |
| `test_cake_lm_head_det_train_standalone.py` | 2 | 0 |
| `test_cake_lm_head_det_train_support.py` | 195 | 141 |
| `test_cake_lm_head_loss.py` | 212 | 405 |
| `test_cake_lm_head_loss_api.py` | 58 | 3 |
| `test_cake_lm_head_loss_standalone.py` | 4 | 0 |
| `test_cake_lm_head_support.py` | 14 | 89 |
| `test_containment.py` | 3 | 0 |
| **Total** | **865** | **865** |
The build manifest check reports 0 findings. Pre-commit was clean on two
runs.
Final-head GPU evidence at `d4f2513765ad017a1bd7b7574a69b183959dbded`:
| GPU | Scope | Result |
| --- | --- | --- |
| B200 (`sm_100a`, Slurm `2518655.1`) | 11 det and existing non-det test
files, manifest, prebuild | 1727 passed, 3 skipped, 0 failed; manifest,
prebuild and pytest each returned 0. The Slurm step exited 1 **after the
tests** because result-copy retries failed; JUnit and logs are present
in the shared result directory. |
| GB300 (`sm_103a`, Slurm `1600041.1`) | Same 11 files across two test
runs | 1729 passed, 1 skipped, 0 failed; both test processes and
manifest check returned 0. |
B200 old/new comparison (`2519218.1`) covered 8 loss/logprob forward and
backward cases with BF16, H=4096, T=4096/16384 and V=32000/152064. Every
case was bitwise equal for the compared loss, log-probability and
gradients (0 mismatches). New/old median time ratios ranged from 0.983
to 1.026, with overlapping min/max ranges in all 8 cases. The comparison
step returned 0. The old and new entries reject V=151936 identically
because it is not divisible by 256.
Evidence: B200 test results under
`/scratch/fsw/portfolios/coreai/projects/coreai_dlcompiler_cake/users/averyh/fi8071-ndr/res/ndr-p25bg-1106T142435-2518655.1-1809159`;
B200 comparison under the same `res/` directory at
`ndr-p25ab3ab-1106T151946-2519218.1-1883299`; GB300 test results under
`/scratch/fsw/portfolios/coreai/projects/coreai_dlcompiler_cake/users/averyh/fi8071-ndr-g3/p25/res/`
at `p25-p25jhb1gd-1106T142441-1600041.1-952856` and
`p25-p25jhb1gn-1106T144048-1600041.1-1078500`.
## Reviewer Notes
The original Draft prerequisites have been verified; human review is
required before merge:
- The non-deterministic owner acknowledges the edits in their files.
- The B200 and GB300 GPU runs are in.
- The `flashinfer._LAZY_EXPORTS` row for `cake_lm_head_det_train` is
added once #8932 is on main. Per the #8928 backend-location decision,
the release wheel keeps the moved package's `csrc/**`.
Merge order: #8930 (docs), then this PR, then the non-deterministic
rename PR.
A whole-word and fully qualified grep of every old name and path finds
them only in these places:
| Location | Reason |
| --- | --- |
| Moved `csrc/**` file names and kernel symbols | Build identity |
| `build.json` program/library/source entries | Build identity; only
`"package"` changes |
| `cake_jit.py` `MODULES` keys `cake_lm_head_det_loss_sm_10{0,3,7}a`,
`library_stem`/record literals, `load_cake_lm_head_det_loss_module` |
Build identity |
| `cake_backend.py` / `cake_backend_opt_in.py` internal helper names
listed above | Internal, not forwarded |
| Det README build-identity paragraphs | Build identity |
| `scripts/check_cake_build_manifests.py` library stem format | Build
identity |
| Build-identity regexes in
`tests/experimental/test_cake_lm_head_det_train.py` | Build identity |
| Non-deterministic tests' det/nondet name pairing table entries for
`load_cake_lm_head_det_loss_module` | Build identity |
| `docs/training_backend_names.md` migration table and build-identity
paragraph | Documentation of the rename |
| Removed-name lists in
`tests/experimental/test_cake_lm_head_det_train_names.py` | Checks that
old names fail to import |
```experimental-tests
tests/experimental/test_cake_lm_head_det_train.py
tests/experimental/test_cake_lm_head_det_train_api.py
tests/experimental/test_cake_lm_head_det_train_host_state.py
tests/experimental/test_cake_lm_head_det_train_names.py
tests/experimental/test_cake_lm_head_det_train_standalone.py
tests/experimental/test_cake_lm_head_det_train_support.py
tests/experimental/test_cake_lm_head_loss.py
tests/experimental/test_cake_lm_head_loss_api.py
tests/experimental/test_cake_lm_head_loss_standalone.py
tests/experimental/test_cake_lm_head_support.py
tests/experimental/test_containment.py
```
---------
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
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This change implements the first groundwork item of #8928 ("Docs: the naming rules and the target table"). It adds the ten naming rules from the issue to
docs/training_backend_names.md. Modules are namedflashinfer.cake_<op>_<mode>_train[_kcp], where the mode isdetornondet. Each module has a matching autograd functional,Functionclass, verb-suffixed helpers that useforward/backward(neverfwd/bwd), anis_<module>_supportedquery and a type pattern. No entry point takesdeterministic=. Undertorch.use_deterministic_algorithms(True),nondetraises PyTorch's alert at its non-deterministic step. Withwarn_only=True, it warns and runsnondet. It never falls back todet, anddetnever alerts. There are no aliases, so old names fail at import. Name parts always follow the order op -> mode -> train -> kcp -> verb.The doc also includes the target table for every family: RMSNorm, SiLU-gated RMSNorm, causal conv1d, mHC, mHC head, GDN, KDA, LM head, MoE grouped GEMM, dense GEMM, DSA indexer, DSA sparse attention and GQA HD256. It adds the KCP entry example using KDA
detand the decisions from the issue: GDNnondetstays, mHC head becomes its own family, and missing versions keep their reserved names. The existing per-family sections, which today cover only the LM head, move under a "Current names" heading. They stay in effect until each family's rename PR lands. Families will be renamed one per PR, and each PR will carry its own migration table and update that family's rows in this file.This is a docs-only change with no code changes. Part of #8928.
Summary by CodeRabbit