################################################################################ # # Copyright (C) 2020-2022 Advanced Micro Devices, Inc. All rights reserved. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ################################################################################ from ..Component import Component, MAC from ..DataType import DataType class FMA_F16_HPA_MAD_MIX_LDL(MAC): @staticmethod def asmCaps(caps): return (caps['v_mad_mix_f32'] or caps['v_fma_mix_f32']) \ and not caps["v_dot2c_f32_f16"] \ and not caps["v_dot2_f32_f16"] #archCaps = {} kernel = {"ProblemType": {"DataType": DataType(DataType.half), "HighPrecisionAccumulate": True}, "LocalDotLayout": lambda ldl: ldl > 1, "InnerUnroll": 2 } def __call__(self, writer, m, innerUnroll): kernel = writer.kernel kStr = self.commentHeader() priority = Component.Priority.find(writer) vars = {} if writer.asmCaps["v_fma_mix_f32"]: vars["instruction"] = "v_fma_mix_f32" else: vars["instruction"] = "v_mad_mix_f32" vars["m"] = m vars["kernel"] = kernel vars["endLine"] = writer.endLine vars["ThreadTile0"] = kernel["ThreadTile0"] vars["ThreadTile1"] = kernel["ThreadTile1"] vars["Half_ThreadTile0"] = kernel["ThreadTile0"] // 2 vars["Half_ThreadTile1"] = kernel["ThreadTile1"] // 2 for blockB in range(0, kernel["ThreadTile1"]//2): for blockA in range(0, kernel["ThreadTile0"]//2): vars["blockA"] = blockA vars["blockB"] = blockB vars["aBase0"] = "vgprValuA_X{m}_I0".format_map(vars) vars["bBase0"] = "vgprValuB_X{m}_I0".format_map(vars) vars["aBase1"] = "vgprValuA_X{m}_I1".format_map(vars) vars["bBase1"] = "vgprValuB_X{m}_I1".format_map(vars) # we treat HighPrecisionAccumulate as expanded packed math vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + 0*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) # *2 b/c of fp32 vars["aStr"] = "v[{aBase0}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase0}+{blockB}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[0,0,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) kStr += priority(writer, 1, "Raise priority while processing macs") kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[1,1,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + 0*2 + 1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) # *2 b/c of fp32 vars["aStr"] = "v[{aBase1}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase0}+{blockB}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[0,0,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[1,1,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + {Half_ThreadTile0}*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) vars["aStr"] = "v[{aBase0}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase1}+{blockB}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[0,0,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[1,1,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) vars["cidx"] = blockA*2 + blockB*kernel["ThreadTile0"]*2 + kernel["ThreadTile0"] + 1 vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + {Half_ThreadTile0}*2+1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) vars["aStr"] = "v[{aBase1}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase1}+{blockB}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[0,0,0] op_sel_hi:[1,1,0] //valuC[{cidx}]{endLine}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[1,1,0] op_sel_hi:[1,1,0] //valuC[{cidx}]{endLine}".format_map(vars) #kStr += writer.bomb(-13) kStr += priority(writer, 0, "Reset priority after macs") return kStr class FMA_F16_HPA_MAD_MIX(MAC): asmCaps = lambda caps: caps['v_mad_mix_f32'] or caps['v_fma_mix_f32'] #archCaps = {} kernel = {"ProblemType": {"DataType": DataType(DataType.half), "HighPrecisionAccumulate": True}, "LocalDotLayout": 1 } def __call__(self, writer, m, innerUnroll): kernel = writer.kernel kStr = self.commentHeader() priority = Component.Priority.find(writer) vars = {} if writer.asmCaps["v_fma_mix_f32"]: vars["instruction"] = "v_fma_mix_f32" else: vars["instruction"] = "v_mad_mix_f32" vars["m"] = m vars["kernel"] = kernel vars["endLine"] = writer.endLine vars["ThreadTile0"] = kernel["ThreadTile0"] vars["ThreadTile1"] = kernel["ThreadTile1"] vars["Half_ThreadTile0"] = kernel["ThreadTile0"] // 2 vars["Half_ThreadTile1"] = kernel["ThreadTile1"] // 2 for block1 in range(0, kernel["ThreadTile1"]//2): for block0 in range(0, kernel["ThreadTile0"]//2): for iui in range(0, innerUnroll): vars["block0"] = block0 vars["block1"] = block1 vars["blockA"] = block0 if writer.tPA["tileIdx"] == 0 else block1 vars["blockB"] = block1 if writer.tPB["tileIdx"] != 0 else block0 vars["iui"] = iui vars["aBase"] = "vgprValuA_X{m}_I{iui}".format_map(vars) vars["bBase"] = "vgprValuB_X{m}_I{iui}".format_map(vars) vars["cIdxExpr"] = "{block0}*2 + {block1}*{ThreadTile0}*2 + 0*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) # *2 b/c of fp32 vars["aStr"] = "v[{aBase}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase}+{blockB}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[0,0,0] op_sel_hi:[1,1,0] //ValuC[{cidx}] iui={iui}{endLine}".format_map(vars) kStr += priority(writer, 1, "Raise priority while processing macs") vars["cIdxExpr"] = "{block0}*2 + {block1}*{ThreadTile0}*2 + 0*2 + 1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) # *2 b/c of fp32 vars["opSel"] = "op_sel:[1,0,0]" if writer.tPA["tileIdx"] == 0 else "op_sel:[0,1,0]" kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} {opSel} op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{block0}*2 + {block1}*{ThreadTile0}*2 + {Half_ThreadTile0}*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC+{cIdxExpr}]".format_map(vars) vars["opSel"] = "op_sel:[0,1,0]" if writer.tPA["tileIdx"] == 0 else "op_sel:[1,0,0]" kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} {opSel} op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{block0}*2+{block1}*{ThreadTile0}*2+{Half_ThreadTile0}*2+1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC+{cIdxExpr}]".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}, {cStr} op_sel:[1,1,0] op_sel_hi:[1,1,0] //ValuC[{cidx}]{endLine}".format_map(vars) kStr += priority(writer, 0, "Reset priority after macs") return kStr class FMA_F16_DOT2(MAC): asmCaps = lambda caps: caps["v_dot2c_f32_f16"] or caps["v_dot2_f32_f16"] #archCaps = {} kernel = {"ProblemType": {"DataType": DataType(DataType.half), "HighPrecisionAccumulate": True}, "LocalDotLayout": lambda ldl: ldl > 1 } def __call__(self, writer, m, innerUnroll): kernel = writer.kernel kStr = self.commentHeader() accumulate = writer.asmCaps["v_dot2c_f32_f16"] priority = Component.Priority.find(writer) vars = {} if accumulate: vars["instruction"] = "_v_dot2acc_f32_f16" else: vars["instruction"] = "v_dot2_f32_f16" vars["m"] = m vars["kernel"] = kernel vars["endLine"] = writer.endLine vars["ThreadTile0"] = kernel["ThreadTile0"] vars["ThreadTile1"] = kernel["ThreadTile1"] vars["Half_ThreadTile0"] = kernel["ThreadTile0"] // 2 vars["Half_ThreadTile1"] = kernel["ThreadTile1"] // 2 vars["cSrc"] = "" for blockB in range(0, kernel["ThreadTile1"]//2): for blockA in range(0, kernel["ThreadTile0"]//2): vars["blockA"] = blockA vars["blockB"] = blockB vars["aBase0"] = "vgprValuA_X{m}_I0".format_map(vars) vars["bBase0"] = "vgprValuB_X{m}_I0".format_map(vars) vars["aBase1"] = "vgprValuA_X{m}_I1".format_map(vars) vars["bBase1"] = "vgprValuB_X{m}_I1".format_map(vars) # we treat HighPrecisionAccumulate as expanded packed math vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + 0*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) # *2 b/c of fp32 vars["aStr"] = "v[{aBase0}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase0}+{blockB}]".format_map(vars) if not accumulate: vars["cSrc"] = ", {cStr}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}{cSrc} //ValuC[{cidx}]{endLine}".format_map(vars) kStr += priority(writer, 1, "Raise priority while processing macs") vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + 0*2 + 1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) vars["aStr"] = "v[{aBase1}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase0}+{blockB}]".format_map(vars) if not accumulate: vars["cSrc"] = ", {cStr}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}{cSrc} //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + {Half_ThreadTile0}*2 + 0".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) vars["aStr"] = "v[{aBase0}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase1}+{blockB}]".format_map(vars) if not accumulate: vars["cSrc"] = ", {cStr}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}{cSrc} //ValuC[{cidx}]{endLine}".format_map(vars) vars["cIdxExpr"] = "{blockA}*2 + {blockB}*{ThreadTile0}*2 + {Half_ThreadTile0}*2 + 1".format_map(vars) vars["cidx"] = eval(vars["cIdxExpr"]) vars["cStr"] = "v[vgprValuC + {cIdxExpr}]".format_map(vars) vars["aStr"] = "v[{aBase1}+{blockA}]".format_map(vars) vars["bStr"] = "v[{bBase1}+{blockB}]".format_map(vars) if not accumulate: vars["cSrc"] = ", {cStr}".format_map(vars) kStr += "{instruction} {cStr}, {aStr}, {bStr}{cSrc} //ValuC[{cidx}]{endLine}".format_map(vars) #kStr += writer.bomb(-13) kStr += priority(writer, 0, "Reset priority after macs") return kStr