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108 lines
4.4 KiB
Python
108 lines
4.4 KiB
Python
################################################################################
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#
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# Copyright (C) 2022-2025 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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from copy import deepcopy
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from .Common import INDEX_CHARS
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from .Common.DataType import DataType
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from .KernelWriterBase import KernelWriterBase
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class KernelWriterReduction(KernelWriterBase):
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def __init__(self, state):
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super().__init__()
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self.state["ProblemType"] = deepcopy(state["ProblemType"])
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# C dimensions
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self.indicesStr = ""
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for i in range(0, self.state["ProblemType"]["NumIndicesC"]):
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c = INDEX_CHARS[i].lower()
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self.indicesStr += INDEX_CHARS[i].lower()
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# derive parameter
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self.language = "HIP"
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self.kernelName = self.getKernelName()
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self.datatype = self.state["ProblemType"]["ComputeDataType"].toDevice(self.language)
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if self.state["ProblemType"]["DataType"].isInt8() and self.state["ProblemType"]["ComputeDataType"].isSingle() and self.state["ProblemType"]["HighPrecisionAccumulate"]:
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self.datatype = DataType('int32').toDevice(self.language)
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# Currently dummy
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def kernelBody(self):
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kStr = ""
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return kStr
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@staticmethod
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def kernelName(solution, btype):
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state = solution._state if hasattr(solution, "_state") else solution.state
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# C dimensions
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indexChars = INDEX_CHARS
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indicesStr = ""
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for i in range(0, state["ProblemType"]["NumIndicesC"]):
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c = indexChars[i].lower()
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indicesStr += indexChars[i].lower()
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name = "D"
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name += indicesStr
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name += "_%s%s"%(btype.toChar(), state["ProblemType"]["ComputeDataType"].toChar())
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name += "_Reduction"
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return name
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def getKernelName(self):
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return KernelWriterReduction.kernelName(self, self.state["ProblemType"]["BiasDataType"])
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def getHeaderFileString(self):
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fileString = "" # CHeader
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# C dimensions
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indicesStr = ""
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for i in range(0, self.state["ProblemType"]["NumIndicesC"]):
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c = INDEX_CHARS[i].lower()
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if c == 'k':
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continue
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indicesStr += INDEX_CHARS[i].lower()
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computeStr = self.state["ProblemType"]["ComputeDataType"].toDevice(self.language)
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computeChar = self.state["ProblemType"]["ComputeDataType"].toChar()
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MTVW = [[256, 1, 1], [128, 2, 1], [64, 4, 1], [32, 8, 1], [16, 16, 1], [8, 32, 1], [32, 32, 4]]
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dstStr = self.state["ProblemType"]["BiasDataType"].toDevice(self.language)
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dstChar = self.state["ProblemType"]["BiasDataType"].toChar()
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for mtvw in MTVW:
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fileString += "extern \"C\" __global__ void D%s_%s%s_MT%dx%d_VW%d_Reduction(%s *in, %s* out, int m, int n, int strideJ)\n"%(self.indicesStr, dstChar, computeChar, mtvw[0], mtvw[1], mtvw[2], computeStr, dstStr)
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fileString += "{\n"
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fileString += " reductionKernel_%s<%s, %s, %d, %d, %d>(in, out, m, n, strideJ);\n"%(self.indicesStr, computeStr, dstStr, mtvw[0], mtvw[1], mtvw[2])
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fileString += "}\n"
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fileString += "\n"
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return fileString
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def getSourceFileString(self):
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fileString = ""
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fileString += self.kernelBody()
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return (0, fileString)
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