junrushao1994 commented on code in PR #10925: URL: https://github.com/apache/tvm/pull/10925#discussion_r845671086
########## python/tvm/tir/tensor_intrin/arm_cpu.py: ########## @@ -0,0 +1,151 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# pylint: disable=invalid-name +"""Intrinsics for x86 tensorization.""" +from .. import TensorIntrin +from tvm.script import tir as T + + +# TODO(masahi): Parametrize the TVMScript description of dot product by +# shape and dtype, and share the common description with x86. + + [email protected]_func +def dot_product_4x4_i8i8i32_desc( + A: T.Buffer((4,), "int8", offset_factor=1), + B: T.Buffer((4, 4), "int8", offset_factor=1), + C: T.Buffer((4,), "int32", offset_factor=1), +) -> None: + """ + A description for 4x4 dot product. + """ + with T.block("root"): + T.reads(C[0:4], A[0:4], B[0:4, 0:4]) + T.writes(C[0:4]) + for i in T.serial(0, 4): + with T.init(): + C[i] = T.int32(0) + for k in T.serial(0, 4): + with T.block("update"): + vi, vk = T.axis.remap("SR", [i, k]) + C[vi] = C[vi] + T.cast(A[vk], "int32") * T.cast(B[vi, vk], "int32") + + [email protected]_func +def dot_product_4x4_i8i8i32_neon( + A: T.Buffer((4,), "int8", offset_factor=1), + B: T.Buffer((4, 4), "int8", offset_factor=1), + C: T.Buffer((4,), "int32", offset_factor=1), +) -> None: + """ + A implementation for 4x4 dot product, applicable for any ARM CPUs supporting NEON. + """ + with T.block("root"): + T.reads(C[0:4], A[0:4], B[0:4, 0:4]) + T.writes(C[0:4]) + + A_int8 = A.vload([0], "int8x4") + re_int32 = T.reinterpret(A_int8, dtype="int32") + vec_ai32 = T.broadcast(re_int32, 2) + vec_a = T.reinterpret(vec_ai32, dtype="int8x8") + + vec_b = B.vload([0, 0], dtype="int8x16") + + # TODO(masahi): Remove duplication when inlined function call is supported Review Comment: Yes, it is likely doable and @Hzfengsy probably already has something ready -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
