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73 lines
3.4 KiB
Python
73 lines
3.4 KiB
Python
################################################################################
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#
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# Copyright (C) 2025 Advanced Micro Devices, Inc. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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#
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################################################################################
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"""
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ValidMatrixInstruction
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---
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Format: (M x N x K x B)
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XDLOPS tile definition, only valid for gfx908, gfx90a
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MxNxKxB specifies matrix instruction variants
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MxNxB determines the shape of the C tile each instruction worked on
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K determines the unroll depth
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Alternative format: (M x N x K x B x MIBlockM x WaveTileM x WaveTileN x WaveM x WaveN)
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(Note: MxN means M-by-N in the following comments)
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MIBlockM determines how many blocks along M dimension for multi-block MI variants. Concrete examples:
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- MI 16x16x1x4 (4-block variant) with MIBlockM=4 -> (16x16)*(4x1)=64x16 tile per instruction executed
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- MI 32x32x1x2 (2-block variant) with MIBlockM=1 -> (32x32)*(1x2)=32x64 tile per instruction executed
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WaveTileM/N are dimensions of the C tile each wave works on, and is close to the concept of ThreadTile in classic VALU kernels
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- WT 4x1 -> each wave executes 4x1 matrix instructions on the C tile of total area (4*MITileM)x(1*MITileN)
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WaveM/N are dimensions of waves spawned for one workgroup where each wave consists of 64 threads
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- Wave2x2 -> a total of 4 waves in one workgroup of shape 2x2
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Putting it all together:
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- [32, 32, 1, 2, 1, 4, 1, 2, 2]
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^^^^^^^^^^^^ ^ ^^^^ ^^^^
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MatrixInst BlkM WT Wave
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- means (32x64) per MI * (4x1) per wave * (2x2) per workgroup = (32*4*2)x(64*1*2) = 256x128 macro tile
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Tensile will ignore the parameters ThreadTile and WorkGroup when the alternative format is used
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Notes:
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- If empty, do not use these instructions
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"""
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from typing import Dict
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from pathlib import Path
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from Tensile.Common import IsaVersion, IsaInfo, elineno
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from Tensile.SolutionStructs.Validators.MatrixInstruction import validateMIParameters
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def _validateMatrixInstruction(
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solution: dict, isaInfoMap: Dict[IsaVersion, IsaInfo], filepath: Path
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) -> bool:
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try:
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validateMIParameters(solution, isaInfoMap)
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assert solution["Valid"], f"Solution was rejected: {elineno()}"
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return True
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except AssertionError as e:
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print(
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f"Error: Validation failed: {e} (file: {filepath}, index: {solution['SolutionIndex']})"
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)
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return False
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