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https://github.com/ROCm/composable_kernel.git
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* initial work on adding support of gfx12 in tile_engine for GEMM benchmarking
* add stage("Run TILE_ENGINE_GEMM Tests on gfx1201") to Jenkins config
* make tile_[m/n/k] validation arch dependent
243 lines
8.0 KiB
Python
243 lines
8.0 KiB
Python
# SPDX-License-Identifier: MIT
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# Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
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# -*- coding: utf-8 -*-
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"""
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Mappings and utility functions for kernel code generation.
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"""
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import subprocess
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import re
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from functools import lru_cache
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DATA_TYPE_MAP = {
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"fp32": "float",
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"fp16": "ck_tile::half_t",
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"bf16": "ck_tile::bf16_t",
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"int8": "ck_tile::int8_t",
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"fp8": "ck_tile::fp8_t",
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"bf8": "ck_tile::bf8_t",
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"int4": "ck_tile::pk_int4_t",
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"int32": "ck_tile::int32_t",
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}
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LAYOUT_MAP = {
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"r": "ck_tile::tensor_layout::gemm::RowMajor",
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"c": "ck_tile::tensor_layout::gemm::ColumnMajor",
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}
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DEFAULT_EPILOGUE = """
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using GemmEpilogue = ck_tile::DefaultGemm2DEpilogue<
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ck_tile::DefaultGemm2DEpilogueProblem<ADataType,
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BDataType,
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ck_tile::tuple<>,
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AccDataType,
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CDataType,
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ck_tile::tuple<>,
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CLayout,
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ck_tile::element_wise::PassThrough,
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TilePartitioner::MPerBlock,
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TilePartitioner::NPerBlock,
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kPadM,
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kPadN,
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WarpTileM,
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WarpTileN,
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WarpTileK,
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UniversalGemmProblem::TransposeC,
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true,
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memory_operation>>;
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"""
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CSHUFFLE_EPILOGUE = """
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using GemmEpilogue = ck_tile::CShuffleEpilogue<
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ck_tile::CShuffleEpilogueProblem<ADataType,
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BDataType,
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ck_tile::tuple<>,
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AccDataType,
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CDataType,
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ck_tile::tuple<>,
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CLayout,
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ck_tile::element_wise::PassThrough,
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TilePartitioner::MPerBlock,
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TilePartitioner::NPerBlock,
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WarpM,
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WarpN,
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WarpTileM,
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WarpTileN,
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WarpTileK,
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UniversalGemmProblem::TransposeC,
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memory_operation>>;
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"""
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PIPELINE_MAP = {
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"mem": ["ck_tile::BaseGemmPipelineAgBgCrMem", "ck_tile::GemmPipelineAgBgCrMem"],
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"compv3": [
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"ck_tile::BaseGemmPipelineAgBgCrCompV3",
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"ck_tile::GemmPipelineAgBgCrCompV3",
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],
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"compv4": [
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"ck_tile::BaseGemmPipelineAgBgCrCompV4",
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"ck_tile::GemmPipelineAgBgCrCompV4",
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],
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}
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SCHEDULER_MAP = {
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"interwave": "ck_tile::GemmPipelineScheduler::Interwave",
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"intrawave": "ck_tile::GemmPipelineScheduler::Intrawave",
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}
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EPILOGUE_MAP = {"default": DEFAULT_EPILOGUE, "cshuffle": CSHUFFLE_EPILOGUE}
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def BOOL_MAP(b_):
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return {True: "true", False: "false"}[bool(b_)]
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# To Do: add some more supported combinations
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warp_tile_supported_combinations = {
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"gfx90a": {
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"fp16_fp16_fp16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"bf16_bf16_bf16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"fp8_fp8_fp16": [[32, 32, 16], [32, 32, 32]],
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"bf8_bf8_fp16": [[32, 32, 16], [32, 32, 32]],
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},
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"gfx942": {
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"fp16_fp16_fp16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"bf16_bf16_bf16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"fp8_fp8_fp16": [[32, 32, 16], [32, 32, 32], [16, 16, 32], [16, 16, 64]],
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"bf8_bf8_fp16": [[32, 32, 16], [32, 32, 32], [16, 16, 64], [16, 16, 32]],
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"int8_int8_int32": [[16, 16, 32], [32, 32, 16]],
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},
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"gfx950": {
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"fp16_fp16_fp16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"bf16_bf16_bf16": [
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[32, 32, 8],
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[16, 16, 16],
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[32, 32, 16],
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[16, 16, 32],
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[4, 64, 16],
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[64, 4, 16],
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],
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"fp8_fp8_fp16": [
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[32, 32, 16],
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[32, 32, 32],
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[16, 16, 32],
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[16, 16, 64],
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[16, 16, 128],
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[32, 32, 64],
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],
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"bf8_bf8_fp16": [
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[32, 32, 16],
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[32, 32, 32],
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[16, 16, 64],
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[16, 16, 32],
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[16, 16, 128],
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[32, 32, 64],
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],
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"fp8_bf8_fp16": [
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[16, 16, 128],
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[32, 32, 64],
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],
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"bf8_fp8_fp16": [
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[16, 16, 128],
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[32, 32, 64],
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],
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},
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"gfx1201": {
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"fp16_fp16_fp16": [
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[16, 16, 16],
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],
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},
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}
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# To Do: remove some unsupported combinations
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trait_unsupported_combinations = {
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("compv3", "cshuffle", "interwave"),
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("compv3", "default", "interwave"),
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("compv4", "cshuffle", "interwave"),
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("compv4", "default", "interwave"),
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}
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ELEMENT_SIZE_MAP = {
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"fp16": 2,
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"bf16": 2,
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"int8": 1,
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"fp8": 1,
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"bf8": 1,
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"int4": 0.5,
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"int32": 4,
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}
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def element_size(data_type: str) -> float:
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"""Calculate the size (in bytes) of a single element for given data type."""
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data_type = data_type.lower()
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if data_type not in ELEMENT_SIZE_MAP:
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raise ValueError(f"Unsupported data type: {data_type}")
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return ELEMENT_SIZE_MAP[data_type]
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GPU_NAME_PATTERN = re.compile(r"Name:\s*(gfx\d+\w*)")
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@lru_cache(maxsize=1)
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def get_gpu_name_by_id(gpu_id: int = 0) -> str:
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"""Retrieve GPU name (e.g. gfx90a) by device ID"""
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try:
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output = subprocess.check_output(
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["rocminfo"], text=True, stderr=subprocess.PIPE, timeout=5
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)
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if matches := GPU_NAME_PATTERN.finditer(output):
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gpu_list = [m.group(1) for m in matches]
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return gpu_list[gpu_id] if gpu_id < len(gpu_list) else ""
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return ""
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except subprocess.CalledProcessError as e:
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print(f"GPU query failed (exit {e.returncode}): {e.stderr.strip()}")
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except FileNotFoundError:
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print("ROCm tools not installed (requires rocminfo)")
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except subprocess.TimeoutExpired:
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print("GPU query timeout (5s)")
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except Exception as e:
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print(f"GPU detection error: {str(e)}")
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return ""
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