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composable_kernel/dispatcher/codegen/arch_specs_generated.py
Ville Pietilä 60b276647b [rocm-libraries] ROCm/rocm-libraries#8157 (commit b0d9d39)
[CK Tile] Rule-based configuration generation in CK
 Dispatcher codegen (#8157)
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## Motivation

The CK Tile Dispatcher code generation for CK Tile Profiler relies on
flat JSON files to list the generated configurations. This approach has
the following problems

- The JSON files are verbose
- The JSON files get easily out of sync with the CK Builder .config
files from which they were generated from.
- The JSON file based configuration make it hard to list explicitly the
rules that govern the instance generation.

## Technical Details

Replaced the JSON files with a rule based configuration. To preserve the
existing functionality, the `profiler` and the `tests` instance sets are
generated directly from the CK Builder config files. The JSON config
files are removed from source control, and the "on-the-fly" generation
guarantees that the Dispatcher codegen uses up to date configurations.

This is PR introduces six different rule sets for the CK Tile Dispatcher
code generation

1. `profiler`: matches with the old JSON set of profiler configurations.
2. `tests`: matches with the old JSON set of tests configurations.
3. `full`: full configuration set created from a rule-based config
selection
4. `full-tests`: a subset of `full` for generating configurations for
convolution integration tests.
5. `tiny`: a subset of `full-tests` to produce the minimal set of
configurations to test the Dispatcher codegen.
6. `default`: the default rules, which corresponds to the existing
heuristic rules for configuration selection. This ensures that ML based
kernel selection doesn't get broken.

The main use of the `full` rule set is to define a reasonable solution
space for the possible implicit GEMM configurations. We start from the
configurations that allowed by the device architecture. The `full` rule
set defines the relevant tile sizes for each convolution direction. From
the tile size we have a curated mapping to the number of waves over the
different GEMM axes, i.e., we describe how many waves each GEMM
dimensions corresponds to. The GEMM-K wave tile dimension can be
computed from the other parameters and does not need to be listed
explicitly.

An orthogonal axis to the tiling strategy is the vectorization strategy.
This mainly defined by the data type and hardware as in general, we want
to use the maximum possible load widths. The maximum sizes for each
convolution direction variant are defined by the implicit GEMM matrix
dimensions. For cases where have a low number of channels per
convolution group, we need smaller vector load sizes. These are captured
by the `VecStrategy` enumeration in the codegen rules.

The problem with the rule based configuration selection is that we "over
generate" configurations. The old JSON configurations compose
approximately 25% of all configuration that the `full` rule set creates.
The additional configurations are valid, but they many not provide any
performance benefits. Hence, we keep the `profiler` and `tests` rule set
for now to avoid building an excessive amount configurations by default.
The `full` rule set can be taken into use by specifying CMake
configuration flag `-D DISPATCHER_RULE_SET=full`. By default, the
`tests` rule set is used, i.e., we don't change the existing bahaviour.

## Test Plan

Added a new stage in the CI/CD pipeline that ensures the Dispatcher
codegen rules are up to date. Otherwise the functionality is covered by
the existing CI/CD tests. There are no functional changes to the
convolution kernels. Only how the different instances are generated.

## Test Result

If the CK Tile conv instances build without errors, the Dispatcher
codegen is generating valid code. If all tests in CI/CD pipeline are
passing, the Dispatcher codegen generates valid instances.

## Submission Checklist

- [x] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.
2026-06-18 01:22:50 +00:00

226 lines
10 KiB
Python

# SPDX-License-Identifier: MIT
"""
AUTO-GENERATED FILE - DO NOT EDIT DIRECTLY!
Generated from: arch_specs.json
Generated at: 2026-06-01T10:50:14.618422
To update this file:
1. Edit arch_specs.json
2. Run: python generate_arch_specs.py
This module provides architecture-specific configurations for kernel filtering.
"""
from typing import Dict, List, Set, Tuple
# =============================================================================
# Architecture Data (Generated from arch_specs.json)
# =============================================================================
# GPU architecture to family mapping
ARCH_FAMILY_MAP: Dict[str, str] = {
"gfx908": "cdna1",
"gfx90a": "cdna2",
"gfx942": "cdna3",
"gfx950": "cdna4",
"gfx1100": "rdna3",
"gfx1200": "rdna4",
"gfx1201": "rdna4",
"gfx1250": "rdna4",
}
# Element size in bytes for each data type
ELEMENT_SIZE_MAP: Dict[str, float] = {'fp16': 2, 'bf16': 2, 'fp32': 4, 'fp64': 8, 'fp8': 1, 'bf8': 1, 'int8': 1, 'int4': 0.5, 'pk_fp4': 0.5, 'int32': 4}
# Supported warp configurations per architecture [warp_m, warp_n, warp_k]
WARP_SUPPORTED_COMBINATIONS: Dict[str, List[List[int]]] = {
"gfx908": [[1, 4, 1], [2, 2, 1], [4, 1, 1]],
"gfx90a": [[1, 4, 1], [2, 2, 1], [4, 1, 1]],
"gfx942": [[1, 1, 1], [1, 2, 1], [1, 4, 1], [2, 1, 1], [2, 1, 2], [2, 2, 1], [4, 1, 1]],
"gfx950": [[1, 1, 1], [1, 2, 1], [1, 4, 1], [2, 1, 1], [2, 1, 2], [2, 2, 1], [4, 1, 1], [8, 2, 1], [4, 4, 1]],
"gfx1100": [[2, 4, 1], [1, 8, 1], [8, 1, 1], [4, 2, 1]],
"gfx1200": [[2, 4, 1], [1, 8, 1], [8, 1, 1], [4, 2, 1]],
"gfx1201": [[2, 4, 1], [1, 8, 1], [8, 1, 1], [4, 2, 1]],
"gfx1250": [[2, 4, 1], [1, 8, 1], [8, 1, 1], [4, 2, 1], [2, 1, 1], [1, 2, 2], [4, 1, 1], [1, 4, 1], [2, 2, 1]],
}
# Supported warp tile combinations: arch -> dtype_key -> [[warp_tile_m, n, k], ...]
WARP_TILE_SUPPORTED_COMBINATIONS: Dict[str, Dict[str, List[List[int]]]] = {
"gfx908": {
"fp32_fp32_fp32": [[16, 16, 4], [16, 16, 8], [16, 16, 16], [32, 32, 4], [32, 32, 8]],
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32]],
"int8_int8_int32": [[32, 32, 16], [16, 16, 32]],
},
"gfx90a": {
"fp32_fp32_fp32": [[16, 16, 4], [16, 16, 8], [16, 16, 16], [32, 32, 4], [32, 32, 8]],
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32]],
"int8_int8_int32": [[32, 32, 16], [16, 16, 32]],
},
"gfx942": {
"fp32_fp32_fp32": [[16, 16, 4], [16, 16, 8], [16, 16, 16], [32, 32, 4], [32, 32, 8]],
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64]],
"fp8_bf8_fp32": [[32, 32, 16], [16, 16, 32], [32, 32, 32]],
"bf8_fp8_fp32": [[32, 32, 16]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64]],
"int8_int8_int32": [[32, 32, 16], [16, 16, 32]],
},
"gfx950": {
"fp32_fp32_fp32": [[16, 16, 4], [16, 16, 8], [16, 16, 16], [32, 32, 4], [32, 32, 8]],
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [4, 64, 16], [64, 4, 16]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64], [16, 16, 128], [32, 32, 64]],
"fp8_bf8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 128], [32, 32, 64]],
"bf8_fp8_fp32": [[32, 32, 16], [16, 16, 128], [32, 32, 64]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64], [16, 16, 128], [32, 32, 64]],
"int8_int8_int32": [[32, 32, 16], [16, 16, 32]],
"pk_fp4_pk_fp4_fp32": [[16, 16, 128]],
},
"gfx1100": {
"fp16_fp16_fp32": [[16, 16, 16]],
"bf16_bf16_fp32": [[16, 16, 16]],
"int8_int8_int32": [[16, 16, 16]],
},
"gfx1200": {
"fp16_fp16_fp32": [[16, 16, 16]],
"bf16_bf16_fp32": [[16, 16, 16]],
"fp8_fp8_fp32": [[16, 16, 16]],
"bf8_bf8_fp32": [[16, 16, 16]],
"fp8_bf8_fp32": [[16, 16, 16]],
"bf8_fp8_fp32": [[16, 16, 16]],
"int8_int8_int32": [[16, 16, 16]],
},
"gfx1201": {
"fp16_fp16_fp32": [[16, 16, 16]],
"bf16_bf16_fp32": [[16, 16, 16]],
"fp8_fp8_fp32": [[16, 16, 16]],
"bf8_bf8_fp32": [[16, 16, 16]],
"fp8_bf8_fp32": [[16, 16, 16]],
"bf8_fp8_fp32": [[16, 16, 16]],
"int8_int8_int32": [[16, 16, 16]],
},
"gfx1250": {
"fp16_fp16_fp32": [[16, 16, 32]],
"bf16_bf16_fp32": [[16, 16, 32]],
},
}
# Preshuffle-specific warp tile combinations (subset of standard GEMM)
PRESHUFFLE_WARP_TILE_SUPPORTED_COMBINATIONS: Dict[str, Dict[str, List[List[int]]]] = {
"gfx90a": {
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32]],
},
"gfx942": {
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 64], [16, 16, 32]],
"int8_int8_int32": [[16, 16, 32], [32, 32, 16]],
},
"gfx950": {
"fp16_fp16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16], [32, 32, 32], [16, 16, 64]],
"bf16_bf16_fp32": [[32, 32, 8], [16, 16, 16], [32, 32, 16], [16, 16, 32], [64, 4, 16], [32, 32, 32], [16, 16, 64]],
"fp8_fp8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64], [16, 16, 128], [32, 32, 64]],
"bf8_bf8_fp32": [[32, 32, 16], [32, 32, 32], [16, 16, 64], [16, 16, 32], [16, 16, 128], [32, 32, 64]],
},
}
# Preshuffle-supported pipelines
PRESHUFFLE_PIPELINES: List[str] = ['preshufflev2']
# LDS capacity limits per pipeline type (in bytes)
LDS_CAPACITY_LIMITS: Dict[str, int] = {'mem': 65536, 'compv1': 65536, 'compv2': 65536, 'compv3': 65536, 'compv4': 32768, 'compv5': 65536, 'compv6': 32768, 'preshufflev1': 32768, 'preshufflev2': 32768, 'default': 65536}
# Unsupported trait combinations: (pipeline, epilogue, scheduler)
TRAIT_UNSUPPORTED_COMBINATIONS: Set[Tuple[str, str, str]] = {
("compv3", "cshuffle", "interwave"),
("compv3", "default", "interwave"),
("compv4", "cshuffle", "interwave"),
("compv4", "default", "interwave"),
("compv5", "cshuffle", "interwave"),
("compv5", "default", "interwave"),
("compv6", "cshuffle", "interwave"),
("compv6", "default", "interwave"),
("comp_async", "cshuffle", "interwave"),
("comp_async", "default", "interwave"),
}
# Valid dtype combinations: (A_dtype, B_dtype) -> acc_dtype and notes
DTYPE_COMBINATIONS: Dict[str, Dict[str, str]] = {
"fp32_fp32": {"acc": "fp32", "notes": "Full precision"},
"fp16_fp16": {"acc": "fp32", "notes": "Standard half precision"},
"bf16_bf16": {"acc": "fp32", "notes": "Brain float 16"},
"fp8_fp8": {"acc": "fp32", "notes": "FP8 E4M3"},
"fp8_bf8": {"acc": "fp32", "notes": "Mixed FP8/BF8"},
"bf8_fp8": {"acc": "fp32", "notes": "Mixed BF8/FP8"},
"bf8_bf8": {"acc": "fp32", "notes": "BF8 E5M2"},
"int8_int8": {"acc": "int32", "notes": "Integer GEMM"},
"pk_fp4_pk_fp4": {"acc": "fp32", "notes": "Packed 4-bit float"},
}
# =============================================================================
# Helper Functions
# =============================================================================
def get_supported_archs() -> List[str]:
"""Get list of all supported GPU architectures."""
return list(ARCH_FAMILY_MAP.keys())
def get_arch_family(gpu_arch: str) -> str:
"""Get the GPU family for an architecture."""
return ARCH_FAMILY_MAP.get(gpu_arch.lower(), "unknown")
def get_element_size(dtype: str) -> float:
"""Get element size in bytes for a data type."""
return ELEMENT_SIZE_MAP.get(dtype.lower(), 2.0)
def get_warp_configs(gpu_arch: str) -> List[List[int]]:
"""Get supported warp configurations for an architecture."""
return WARP_SUPPORTED_COMBINATIONS.get(gpu_arch.lower(), [])
def get_warp_tile_combos(gpu_arch: str, dtype_key: str) -> List[List[int]]:
"""Get supported warp tile combinations for arch and data types."""
gpu_combos = WARP_TILE_SUPPORTED_COMBINATIONS.get(gpu_arch.lower(), {})
return gpu_combos.get(dtype_key.lower(), [])
def get_lds_limit(pipeline: str) -> int:
"""Get LDS capacity limit for a pipeline type."""
return LDS_CAPACITY_LIMITS.get(pipeline.lower(), LDS_CAPACITY_LIMITS["default"])
def is_trait_combo_unsupported(pipeline: str, epilogue: str, scheduler: str) -> bool:
"""Check if a trait combination is unsupported."""
return (pipeline.lower(), epilogue.lower(), scheduler.lower()) in TRAIT_UNSUPPORTED_COMBINATIONS
def get_dtype_info(dtype_a: str, dtype_b: str) -> Dict[str, str]:
"""Get accumulator type and notes for a dtype combination."""
key = f"{dtype_a.lower()}_{dtype_b.lower()}"
return DTYPE_COMBINATIONS.get(key, {"acc": "fp32", "notes": "unknown"})
def is_dtype_combo_valid(dtype_a: str, dtype_b: str) -> bool:
"""Check if a dtype combination is valid."""
key = f"{dtype_a.lower()}_{dtype_b.lower()}"
return key in DTYPE_COMBINATIONS
def get_valid_dtype_combos() -> List[str]:
"""Get list of all valid dtype combinations."""
return list(DTYPE_COMBINATIONS.keys())