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refactor(cake_causal_conv1d_det): det names only, remove the pre-det-rename aliases - #8912
The deterministic Cake causal conv1d packages now expose only names that contain det. This PR removes the compatibility names kept by #8055. No alias or compatibility module remains. Callers use the det names that already exist on main.
This PR moves these call sites to the det names: the KDA and GDN context-parallel tests, benchmarks, docstrings and READMEs; the selectable-mode facade docstrings (the flashinfer.experimental.cake.cake_causal_conv1d_train and flashinfer.cake_causal_conv1d_train_kcp entry points keep their names); docs/api/mamba.rst; the test helper's compatibility key; and the alias test, now replaced by tests/norm/test_cake_causal_conv1d_det_train_names.py, which checks that the old names are gone.
Kernels, programs and numerics are unchanged.
Tests: on B200 at 076e60a: test collection 1677 items / 0 errors; the det conv / KCP / KDA / GDN GPU suites in four groups (485 passed; 285 passed, 14 skipped; 647 passed, 1 skipped; 36 passed) and the 4-GPU dist group (59 passed, 26 skipped: those rows need 8 or 16 GPUs); the GDN det and selectable-mode 4-rank conv rows give the same per-test results on this branch and on main (3 passed, 4 skipped as 8-rank rows, each); benchmark --help 7/7; pre-commit clean.
Summary by CodeRabbit
Updates
Deterministic causal-convolution training APIs are now used consistently in benchmarks, examples, and tests.
Context-parallel usage guidance now reflects the deterministic API and updated context terminology.
Compatibility Changes
Removed legacy non-deterministic-name aliases and import paths for deterministic training APIs. Use the deterministic names instead.
…rename aliases
The deterministic causal conv1d packages now expose only names that carry
"det". The compatibility names kept by flashinfer-ai#8055 are removed, with no alias left:
- modules flashinfer.cake_causal_conv1d_train and
flashinfer.cake_causal_conv1d_train_backend (and its submodules);
- top-level flashinfer.cake_causal_conv1d, CakeCausalConv1dFunction and
cake_causal_conv1d_train_{forward,backward}[_workspace_bytes];
- cake_causal_conv1d_kcp, cake_causal_conv1d_kcp_multi and
KcpRecomputeHandle of flashinfer.cake_causal_conv1d_det_train;
- the non-det names of the det backend package and of its kcp module.
Callers use the det names that already exist:
flashinfer.cake_causal_conv1d_det_train (cake_causal_conv1d_det, ...)
and flashinfer.cake_causal_conv1d_det_train_kcp (cake_causal_conv1d_det_kcp,
cake_causal_conv1d_det_multi_kcp, RecomputeHandleDetKcp). Kernels, programs
and numerics are unchanged. The KDA / GDN KCP tests, benchmarks, docs and
READMEs that called the convolution by an old name use the det names.
…(partition_det_kcp, build_context_det_kcp, ContextDetKcp)
The det conv KCP tests built their contexts through the KDA / GDN legacy
packages (cake_kda_train, cake_gdn_train) and pre-det names, which the KDA
and GDN det renames remove; the single-rank KCP test would then silently
fall back to its stand-in context. They now import the det plan modules.
This change removes legacy names and compatibility modules for deterministic causal convolution. Benchmarks, examples, documentation, and tests now use the det-named APIs and context-planning names.
Changes: Deterministic causal-convolution API
Layer / File(s)
Summary
Remove legacy aliases and define API names flashinfer/__init__.py, flashinfer/cake_causal_conv1d_det_train*.py, flashinfer/cake_causal_conv1d_det_train_backend/*, flashinfer/cake_causal_conv1d_train*.py, flashinfer/cake_causal_conv1d_train_backend/*, flashinfer/experimental/cake/cake_causal_conv1d_train.py, docs/api/mamba.rst, tests/norm/*, tests/experimental/test_cake_causal_conv1d_train_api.py, tests/cpu/test_cake_causal_conv1d_det_train_kcp_knobs.py, tests/test_helpers/cake_package.py
Removed legacy non-det aliases and compatibility modules. Updated documentation and tests to describe the remaining deterministic names and removed import paths.
Update benchmarks and usage examples benchmarks/bench_cake_*_kcp.py, flashinfer/cake_gdn*_train_kcp.py, flashinfer/experimental/cake_kda*_train_kcp/README.md
Benchmarks and examples now import and call deterministic causal-convolution entry points, including the single- and multi-call KCP APIs.
Migrate KCP tests and context planning tests/experimental/test_cake_{gdn,kda}*_kcp_*.py, tests/test_cake_causal_conv1d_det_train_kcp*.py
KCP tests now use deterministic convolution APIs and recompute-handle names. Context setup uses partition_det_kcp and build_context_det_kcp.
flashinfer-ai/flashinfer issue 7249: This change removes legacy causal-convolution KCP names and directs callers to deterministic entry points; the issue’s host-path and kernel cleanup remains separate.
Possibly related PRs
flashinfer-ai/flashinfer#8055: Introduced the deterministic causal-convolution names and retained the aliases removed here.
flashinfer-ai/flashinfer#8134: Added selectable-mode facades and documented the legacy deterministic aliases that this change removes.
flashinfer-ai/flashinfer#7846: Added the KCP recompute-handle API whose callers are updated to deterministic names here.
Suggested labels:op: misc, op: linear attention
Merge Risk: Minimal · up to 076e6
No actionable merge-blocking issue was identified. The compatibility-name removal is documented, and the supplied caller updates use the deterministic APIs. Merge after normal checks pass.
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8 public API finding(s):
flashinfer/__init__.py:1 — Public top-level export CakeCausalConv1dFunction was removed.
flashinfer/__init__.py:1 — Public top-level export cake_causal_conv1d was removed.
flashinfer/__init__.py:1 — Public top-level export cake_causal_conv1d_train_backward was removed.
flashinfer/__init__.py:1 — Public top-level export cake_causal_conv1d_train_backward_workspace_bytes was removed.
flashinfer/__init__.py:1 — Public top-level export cake_causal_conv1d_train_forward was removed.
flashinfer/__init__.py:1 — Public top-level export cake_causal_conv1d_train_forward_workspace_bytes was removed.
flashinfer/cake_causal_conv1d_train.py:1 — Public Python submodule flashinfer.cake_causal_conv1d_train was deleted.
flashinfer/cake_causal_conv1d_train_backend/__init__.py:1 — Public Python submodule flashinfer.cake_causal_conv1d_train_backend was deleted.
The following files match only the catch-all rule; this approval covers that technical gap under the one-approval policy. GitHub still requires each owned path's own owner.
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Brings in the det-name rename (flashinfer-ai#8912). Conflicts resolved:
- flashinfer/cake_causal_conv1d_train_kcp.py: kept the move to
flashinfer/experimental/cake/cake_causal_conv1d_train_kcp.py (the main-side
edit was the docstring sentence about removed det aliases).
- flashinfer/experimental/cake/cake_causal_conv1d_train.py,
docs/api/mamba.rst: kept the non-deterministic-only text and added the
note that the deterministic package's pre-rename names are removed.
- tests/experimental/test_cake_causal_conv1d_train_api.py: kept this
branch's tests and the main-side test that the det names carry det and
the pre-rename names are gone.
…of the deterministic packages (#8916)
## Summary
The deterministic Cake GDN training packages are
`flashinfer.experimental.cake_gdn_det_train`,
`flashinfer.experimental.cake_gdn_det_train_kcp` and the facade
`flashinfer.cake_gdn_det_train_kcp`. They still carry their former
names, which lack "det": `flashinfer.gdn_train`,
`flashinfer.experimental.cake_gdn_train`, `chunk_gdn_kcp` / `KcpOptions`
and `chunk_gated_delta_rule` / `ChunkGatedDeltaRuleFunction` /
`gdn_chunk_forward` / `gdn_chunk_backward`. The KDA compatibility
package `flashinfer.experimental.cake_kda_train` has the same problem.
The package owners will delete these names in follow-up PRs and won't
keep compatibility aliases.
This PR stops the non-deterministic GDN tests, benchmark and READMEs
from using these former GDN and KDA names. They pass both before and
after the removals. The former conv1d names used in the same files are
migrated separately by the conv1d package owner (#8912). Package
behavior and kernels are unchanged. The only edits to package files are
three provenance docstrings: they keep the historical KDA source path
and add its current det path.
## Changes
- `tests/experimental/test_cake_gdn_train_kcp_api.py`:
- Removes the test that asserted the former names are the deterministic
objects.
- Keeps one absence test over a single list of former spellings. That
list now also covers `cake_backend`, `cake_build` and `cake_l2n`.
- Keeps a test, checked through the det names, that this package's
entries and types are not the deterministic package's.
- `tests/experimental/test_cake_gdn_train.py`: compares against the
deterministic package's det names instead of its former aliases.
- `test_cake_gdn_train_kcp.py` and `test_cake_gdn_train_kcp_build.py`:
KDA references now use `cake_kda_det_train_kcp.cake_kcp_plan`
(`partition_det_kcp`, `build_context_det_kcp`) and
`cake_kda_det_train.cake_build`.
- `benchmarks/bench_cake_gdn_train_kcp.py`: reads `LAST_CALL` and
`graph_cache_clear` for both routes from each package's `cake_kcp`
module, because the deterministic package will stop re-exporting them at
package level.
- The two non-deterministic READMEs refer to the deterministic packages
only by their det names.
## Testing
One commit on main `3757bab`, head `1d5f7bb`. The first revision
`802dc8a` differs from it only in docstrings and the commit message.
Each run used a clean tree at the named head and a tree with the former
names deleted (simulated removal):
- **CPU at `1d5f7bb`** (CUDA 13.4 devel image, Python 3.14.9, torch
2.14.1+cu130): `test_cake_gdn_train_kcp_api.py`,
`test_cake_gdn_train_kcp_build.py` and `test_cake_gdn_train_kcp.py` gave
454 passed, 7 skipped, 0 failed on both trees. `pre-commit` (mypy, ruff
check, ruff format, ...) passes.
- **CPU at `802dc8a`**: `test_cake_gdn_train.py` plus the 8
`test_cake_gdn_train_kcp*.py` files gave 577 passed, 352 skipped, 0
failed on both trees. As a control, the old tests fail 3 on the
simulated-removal tree.
- **GPU at `802dc8a`** (B200, sm_100a): 0 failed on both trees.
- Non-deterministic API tests: 162 passed.
- Train names/exports/deterministic tests: 29 passed.
- Build tests: 37 passed.
- `test_plan_parity_with_kda_on_rows` skips in every environment because
it needs `GDN_ROWS_DIR`. That skip predates this PR and is unchanged.
## Follow-ups
- The deterministic package owners remove the former names.
- The conv1d package owner migrates the former conv1d names in these
files.
- A later PR aligns the `deterministic=` behavior of the
non-deterministic facade with the shared mode rules.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
* **Documentation**
* Clarified which GDN training package names refer to deterministic and
non-deterministic entry points, including the distinction between legacy
names and the KCP package’s own entry point.
* Updated package guidance to clarify its relationship to deterministic
KDA counterparts.
* **Bug Fixes**
* Corrected benchmark handling of route graph-cache clearing and
last-call metadata.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
yyihuang
pushed a commit
to yyihuang/flashinfer
that referenced
this pull request
Nov 6, 2026
… accuracy fix) into the in-kernel Q/K L2 norm branch
Conflict in flashinfer/experimental/cake/cake_kda_train/build.json,
resolved as the union of both sides: the 229 entries of main (generator,
the CUDA 12.9 floor on sm_100a and the re-copied digests of flashinfer-ai#8909) and
the 63 entries this branch adds (the in-kernel Q/K L2 norm copies and
param_finalize_l2n). 292 entries. The next commit re-copies the
deterministic fused-l2n programs that the fix changes or renames.
benchmarks/bench_cake_kda_train_kcp.py and the context-parallel README
merge without conflict: they keep main's deterministic causal-conv1d
names (flashinfer-ai#8912) and this branch's edits.
yyihuang
pushed a commit
to yyihuang/flashinfer
that referenced
this pull request
Nov 6, 2026
Resolve two conflicts in favour of main: flashinfer/__init__.py takes the
_LAZY_EXPORTS table of flashinfer-ai#8932 (the conv1d compatibility hook it replaces was
already removed by flashinfer-ai#8912), and the dist suite docstring takes the flashinfer-ai#8923 wording.
… package only (#8920)
## Summary
`flashinfer.cake_gdn_train_kcp` is the context-parallel GDN facade
without "det" in its name. It now runs only the non-deterministic
package, `flashinfer.experimental.cake_gdn_train_kcp`, and only with
`deterministic=False`. Any other value, including the default, raises
`ValueError` instead of running the deterministic package. A module
without "det" in its name no longer runs the deterministic package
silently, and a caller that relied on the old default gets an error
instead of being switched silently to the non-deterministic path. The
deterministic package keeps its explicit det names in
`flashinfer.cake_gdn_det_train_kcp`.
This PR is stacked on #8916 (base main 3757bab). The branch has two
commits: 1d5f7bb (= #8916) and b8a4781 (this change). Please review
b8a4781, which is the only commit left once #8916 merges.
## Behavior change
| Call to a facade entry | Before | After |
|---|---|---|
| `deterministic=True` (default) | Ran the deterministic package |
`ValueError` naming the deterministic entry in
`flashinfer.cake_gdn_det_train_kcp` and saying to pass
`deterministic=False` (same for any value other than `False`) |
| `deterministic=False` | Non-deterministic package | Non-deterministic
package |
| `deterministic=False` under `torch.use_deterministic_algorithms(True)`
| Rerouted to the deterministic package, warned once per process |
Non-deterministic package, in both strict and `warn_only`. No reroute,
no warning, and no PyTorch deterministic alert, because the package's
launches are fixed-order |
Nothing is routed to the deterministic package, and nothing falls back
to it. Each entry's one-time `ExperimentalWarning` is unrelated to the
mode.
## Migration
- If you relied on the default, call the deterministic entry in
`flashinfer.cake_gdn_det_train_kcp`:
- `partition_kcp` → `partition_det_kcp`
- `build_context_kcp` → `build_context_det_kcp`
- `chunk_gdn_fwd_kcp` → `chunk_gdn_det_fwd_kcp`
- `chunk_gdn_bwd_kcp` → `chunk_gdn_det_bwd_kcp`
- `chunk_gdn_kcp` → `chunk_gdn_det_kcp`
- `gdn_workspace_bytes_kcp` → `gdn_det_workspace_bytes_kcp`
- `gdn_saved_bytes_kcp` → `gdn_det_saved_bytes_kcp`
- `gdn_comm_bytes_kcp` → `gdn_det_comm_bytes_kcp`
- `is_gdn_train_kcp_supported` → `is_gdn_det_train_kcp_supported`
- If you want the non-deterministic package, pass `deterministic=False`
explicitly.
- `chunk_gdn_bwd_kcp` reads only this package's `SavedKcp` and raises
`ValueError` on a saved set from a deterministic forward. An options
instance from the deterministic package is still accepted as a mapping
of its fields.
```python
# Before: the default ran the deterministic package. Now it raises ValueError.
from flashinfer.cake_gdn_train_kcp import chunk_gdn_kcp
out = chunk_gdn_kcp(...)
# After: deterministic
from flashinfer.cake_gdn_det_train_kcp import chunk_gdn_det_kcp
out = chunk_gdn_det_kcp(...)
# After: non-deterministic
out = chunk_gdn_kcp(..., deterministic=False)
```
## Changes
- Facade: every entry keeps the keyword-only `deterministic: bool =
True` and accepts only `False`. Routing to the deterministic package,
the fallback, and the `torch.use_deterministic_algorithms` reroute and
warning are removed.
- The non-deterministic packages' own refusals now name the entry's
deterministic counterpart. These are `check_mode` in
`flashinfer.experimental.cake_gdn_train_kcp`, and
`flashinfer.experimental.cake.cake_gdn_train`.
- Docs:
- A "Mode and dispatch rules" section is added at the top of both
non-deterministic READMEs and the facade docstring.
- Every example passes `deterministic=False`.
- A byte-query note no longer says torch's deterministic algorithms must
be off.
- Tests: the facade tests now check:
- every refused value
- that no call reaches the deterministic facade
- that there is no reroute or fallback warning under torch's
deterministic algorithms (strict and `warn_only`), including
`is_gdn_train_kcp_supported` and the autograd node's output and
gradients against the package's own forward and backward
Cross-checks against the deterministic package call its det entries.
- Bench: the deterministic arm calls the det entries.
- 11 files, +487/-520 relative to #8916.
## Testing
- CPU at b8a4781 (CUDA 13.4 devel image, Python 3.14.9, torch
2.14.1+cu130), running `test_cake_gdn_train.py` plus the 8
`test_cake_gdn_train_kcp*.py` files: 579 passed, 352 skipped, 0 failed.
This holds both on the head and on a tree with the deterministic
packages' former names deleted (simulated removal).
- pre-commit (mypy, ruff check, ruff format, ...) passes.
- GPU at the previous revision 75232cc0 (4 x R200 (sm_107a), driver
620.43, torch 2.14.1+cu130, Python 3.14.8, nvcc 13.4), on both trees, 0
failed:
- `test_cake_gdn_train_kcp_api.py`: 164 passed
- `test_cake_gdn_train_kcp_l2n.py`: 41 passed, 2 skipped (by design)
- `test_cake_gdn_train_kcp_cp1.py`: 100 passed
- `test_cake_gdn_train.py -k "names or exports or deterministic"`: 27
passed, 2 skipped
- `test_cake_gdn_train_kcp_dist.py`, multi-GPU rows at world 4 and world
2: 2 passed
- b8a4781 differs from 75232cc0 only in docs, one facade docstring
sentence, and two added test checks, which run and pass on CPU.
- This change has not run on B200 / B300 GPUs beyond CI. It only changes
host-side dispatch; no kernels are touched.
## Notes
- The conv1d lines in the facade docstring are migrated in #8912, so the
two PRs don't overlap.
- No kernel, program, or numerical change.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
* **Behavior Changes**
* The GDN training and KCP interfaces now run only when
`deterministic=False`; other values raise an error directing you to the
corresponding deterministic entry point.
* Enabling PyTorch’s deterministic algorithms no longer switches these
interfaces to a different route. Use the separate deterministic package
when deterministic execution is needed.
* KCP options and queries follow the same explicit mode requirement.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
…8921)
Removes the pre-rename names of the deterministic context-parallel GDN
training route without aliases. Every public name of this route now
carries `det`. Follow-up to the review on #8916.
- Deleted: `flashinfer.gdn_train`, the
`flashinfer.experimental.cake_gdn_train` compatibility package, and the
no-det aliases in `flashinfer.experimental.cake_gdn_det_train_kcp`
(`chunk_gdn_kcp`, `chunk_gdn_fwd_kcp`, `chunk_gdn_bwd_kcp`,
`KcpContext`, `KcpOptions`, `kcp_partition`, `build_kcp_context`,
`gdn_kcp_*_bytes`, ...). Use `chunk_gdn_det_kcp`, `ContextDetKcp`,
`partition_det_kcp`, `build_context_det_kcp`, `gdn_det_*_bytes_kcp`, ...
- The package exports only names that carry `det`. `SCALE`, `LAST_CALL`,
the backend controls and the option helpers stay in their modules
(`cake_kcp`, `cake_options`).
- The legacy-alias test becomes absence tests. The removed modules do
not import, no deterministic module binds a removed name, and no
deterministic entry takes a `deterministic` keyword.
- The README and the `flashinfer.cake_gdn_det_train_kcp` docstring state
that the names were removed and add a "Mode and dispatch rules" section.
Merge order: this branch contains #8918, #8916 and #8912, and merges
after them. Kernels, numerics and performance do not change.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
- **Breaking Changes**
- Removed legacy GDN training import paths and compatibility aliases.
Update imports to use the current deterministic API.
- Deterministic entry points no longer accept a `deterministic` keyword.
Backward operations reject saved data or workspaces created in
non-deterministic mode.
- The deterministic API exposes only `det`-named entries;
non-deterministic training is available through a separate experimental
package and requires `deterministic=False`.
- **Documentation**
- Clarified the distinction between deterministic and non-deterministic
APIs and their usage requirements.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
Removes the remaining pre-`det` aliases from the deterministic
context-parallel KDA training package
`flashinfer/experimental/cake_kda_det_train_kcp` and its facade
`flashinfer/cake_kda_det_train_kcp.py`. This follows the project rule
that every deterministic kernel name carries `det`.
**This PR breaks the API.** It deletes the previous names and keeps no
compatibility alias. Importing a previous name raises `ImportError`.
Accessing one as a module attribute raises `AttributeError`. Callers
must switch to the `det` names in the table below.
Kernels and numerics are unchanged. The `det` entry points run the same
kernels, and their outputs are bitwise identical to the outputs before
this change.
### Changes
- Remove the 20 module-level aliases that bound the previous names: 12
in `cake_kcp.py` and 8 in `cake_kcp_plan.py`. No compatibility alias is
kept.
- In the KCP host module, use the single-rank `KdaDetWorkspace` instead
of the `KdaWorkspace` alias.
- Remove the list of previous names from the README and docstrings.
- Have the performance script call
`flashinfer.cake_kda_det_train.chunk_kda_det`.
- Make the API test check that the 18 previous names are gone from the
facade, the package and its modules.
### Migration
The modules below are under
`flashinfer.experimental.cake_kda_det_train_kcp`.
| Previous name | `det` name | Module |
|---|---|---|
| `ChunkKDAKcpFunction` | `ChunkKDADetFunctionKcp` | `cake_kcp` |
| `KcpCall` | `CallDetKcp` | `cake_kcp` |
| `KcpOptions` | `OptionsDetKcp` | `cake_kcp` |
| `KcpRecomputeHandle` | `RecomputeHandleDetKcp` | `cake_kcp` |
| `KcpSaved` | `SavedDetKcp` | `cake_kcp` |
| `KcpWorkspace` | `WorkspaceDetKcp` | `cake_kcp` |
| `chunk_kda_kcp` | `chunk_kda_det_kcp` | `cake_kcp` |
| `chunk_kda_kcp_fwd` | `chunk_kda_det_fwd_kcp` | `cake_kcp` |
| `chunk_kda_kcp_bwd` | `chunk_kda_det_bwd_kcp` | `cake_kcp` |
| `KcpContext` | `ContextDetKcp` | `cake_kcp_plan` |
| `KcpFragment` | `FragmentDetKcp` | `cake_kcp_plan` |
| `KcpPartition` | `PartitionDetKcp` | `cake_kcp_plan` |
| `build_kcp_context` | `build_context_det_kcp` | `cake_kcp_plan` |
| `kcp_partition` | `partition_det_kcp` | `cake_kcp_plan` |
| `kcp_comm_bytes` | `kda_det_comm_bytes_kcp` | `cake_kcp`,
`cake_kcp_plan` |
| `kcp_saved_bytes` | `kda_det_saved_bytes_kcp` | `cake_kcp`,
`cake_kcp_plan` |
| `kcp_workspace_bytes` | `kda_det_workspace_bytes_kcp` | `cake_kcp`,
`cake_kcp_plan` |
The KCP host module now refers to the single-rank workspace as
`cake_backend.KdaDetWorkspace` instead of `cake_backend.KdaWorkspace`.
Both are in the `flashinfer.experimental.cake_kda_det_train` package.
The public facade `flashinfer.cake_kda_det_train_kcp` exports these
`det` names:
- Functions: `partition_det_kcp`, `build_context_det_kcp`,
`chunk_kda_det_kcp`, `chunk_kda_det_fwd_kcp`, `chunk_kda_det_bwd_kcp`,
`kda_det_workspace_bytes_kcp`, `kda_det_saved_bytes_kcp`,
`kda_det_comm_bytes_kcp`, `reduce_gate_param_grads_det_kcp`
- Types: `ContextDetKcp`, `OptionsDetKcp`, `PartitionDetKcp`,
`RecomputeHandleDetKcp`, `SavedDetKcp`, `WorkspaceDetKcp`
### Related
#8908 merges after this PR. It deletes the module
`flashinfer.kda_train`, which bound the same previous KCP spellings:
`kcp_partition`, `build_kcp_context`, `chunk_kda_kcp[_fwd|_bwd]`,
`kcp_*_bytes`, `kcp_reduce_gate_param_grads` (now
`reduce_gate_param_grads_det_kcp`) and the `Kcp*` types. It also deletes
the compatibility package `flashinfer.experimental.cake_kda_train`,
including the import-path modules `cake_kcp`, `cake_kcp_jit` and
`cake_kcp_plan`. Their new paths are
`flashinfer.experimental.cake_kda_det_train_kcp.cake_kcp`,
`.cake_kcp_jit` and `.cake_kcp_plan`.
#8906, #8912, #8916 and #8918 have merged and moved every test call site
to the `det` names, including the non-deterministic causal conv1d KCP
dist test.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
<!-- coderabbit-ai-generated:v1 -->
## Summary by CodeRabbit
* **API Changes**
* Removed legacy, pre-deterministic names from the experimental KCP API.
The canonical deterministic (`det`) names remain available; callers
using the removed names will need to update to the corresponding `det`
names.
* **Documentation**
* Updated KCP documentation to reflect the available deterministic API
names.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Yingyi Huang <averyh@nvidia.com>
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The deterministic Cake causal conv1d packages now expose only names that contain
det. This PR removes the compatibility names kept by #8055. No alias or compatibility module remains. Callers use the det names that already exist on main.flashinfer.cake_causal_conv1d_trainflashinfer.cake_causal_conv1d_det_trainflashinfer.cake_causal_conv1d_train_backend(and.cake_build,.cake_jit,.kcp,.kcp_jit)flashinfer.cake_causal_conv1d_det_train_backend(same submodules)flashinfer.cake_causal_conv1dflashinfer.cake_causal_conv1d_detflashinfer.CakeCausalConv1dFunctionflashinfer.CakeCausalConv1dDetFunctionflashinfer.cake_causal_conv1d_train_{forward,backward}[_workspace_bytes]flashinfer.cake_causal_conv1d_det_train_{forward,backward}[_workspace_bytes]cake_causal_conv1d_det_train.cake_causal_conv1d_kcpcake_causal_conv1d_det_train_kcp.cake_causal_conv1d_det_kcpcake_causal_conv1d_det_train.cake_causal_conv1d_kcp_multicake_causal_conv1d_det_train_kcp.cake_causal_conv1d_det_multi_kcpcake_causal_conv1d_det_train.KcpRecomputeHandlecake_causal_conv1d_det_train_kcp.RecomputeHandleDetKcpCakeCausalConv1dFunction,cake_causal_conv1d,cake_causal_conv1d_train_{forward,backward}[_workspace[_bytes]],is_cake_causal_conv1d_train_supported*Det*/*_det*names.kcp:CakeCausalConv1dKcpFunction,CakeCausalConv1dKcpMultiFunction,KcpRecomputeHandle,cake_causal_conv1d_kcp[_forward|_backward],cake_causal_conv1d_kcp_multi[_forward|_backward]CakeCausalConv1dDetFunctionKcp,CakeCausalConv1dDetMultiFunctionKcp,RecomputeHandleDetKcp,cake_causal_conv1d_det_kcp/_det_forward_kcp/_det_backward_kcp,cake_causal_conv1d_det_multi_kcp/_det_multi_forward_kcp/_det_multi_backward_kcpThis PR moves these call sites to the det names: the KDA and GDN context-parallel tests, benchmarks, docstrings and READMEs; the selectable-mode facade docstrings (the
flashinfer.experimental.cake.cake_causal_conv1d_trainandflashinfer.cake_causal_conv1d_train_kcpentry points keep their names);docs/api/mamba.rst; the test helper's compatibility key; and the alias test, now replaced bytests/norm/test_cake_causal_conv1d_det_train_names.py, which checks that the old names are gone.Kernels, programs and numerics are unchanged.
Tests: on B200 at 076e60a: test collection 1677 items / 0 errors; the det conv / KCP / KDA / GDN GPU suites in four groups (485 passed; 285 passed, 14 skipped; 647 passed, 1 skipped; 36 passed) and the 4-GPU dist group (59 passed, 26 skipped: those rows need 8 or 16 GPUs); the GDN det and selectable-mode 4-rank conv rows give the same per-test results on this branch and on main (3 passed, 4 skipped as 8-rank rows, each); benchmark
--help7/7; pre-commit clean.Summary by CodeRabbit