bartekkuncer commented on a change in pull request #20817: URL: https://github.com/apache/incubator-mxnet/pull/20817#discussion_r787700675
########## File path: src/operator/quantization/dnnl/dnnl_quantized_transpose.cc ########## @@ -0,0 +1,70 @@ + +/* + * 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. + */ + +/*! + * \file dnnl_quantized_transpose.cc + */ +#if MXNET_USE_ONEDNN == 1 +#include "../../nn/dnnl/dnnl_transpose-inl.h" +#include "../../tensor/matrix_op-inl.h" + +namespace mxnet { +namespace op { + +inline static bool QuantizedTransposeStorageType(const nnvm::NodeAttrs& attrs, + const int dev_mask, + DispatchMode* dispatch_mode, + std::vector<int>* in_attrs, + std::vector<int>* out_attrs) { + CHECK_EQ(in_attrs->size(), 3U); + CHECK_EQ(out_attrs->size(), 3U); + return DNNLStorageType(attrs, dev_mask, true, dispatch_mode, in_attrs, out_attrs); +} + +static void DNNLQuantizedTransposeForward(const nnvm::NodeAttrs& attrs, + const OpContext& ctx, + const std::vector<NDArray>& inputs, + const std::vector<OpReqType>& req, + const std::vector<NDArray>& outputs) { + CHECK(inputs[0].dtype() == mshadow::kUint8 || inputs[0].dtype() == mshadow::kInt8) + << "dnnl_quantized_pooling op only supports uint8 and int8 as input type"; + if (req[0] == kNullOp) { + return; + } + CHECK_EQ(inputs.size(), 3U); + CHECK_EQ(outputs.size(), 3U); + DNNLRun(DNNLTransposeForward<TransposeParam>, attrs, ctx, inputs[0], req[0], outputs[0]); Review comment: I believe Rafał wrote the checks here as they are different than the ones in SupportDNNLTranspose function. I agree that they could be moved to a function. ########## File path: src/operator/quantization/quantized_transpose.cc ########## @@ -0,0 +1,109 @@ +/* + * 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. + */ + +/*! + * \file quantized_transpose.cc + */ +#include <mxnet/op_attr_types.h> +#include "../tensor/matrix_op-inl.h" + +namespace mxnet { +namespace op { + +inline bool QuantizedTransposeType(const nnvm::NodeAttrs& attrs, + std::vector<int>* in_attrs, + std::vector<int>* out_attrs) { + CHECK_EQ(in_attrs->size(), 3U); + CHECK_EQ(out_attrs->size(), 3U); + TYPE_ASSIGN_CHECK(*in_attrs, 1, mshadow::kFloat32); + TYPE_ASSIGN_CHECK(*in_attrs, 2, mshadow::kFloat32); + TYPE_ASSIGN_CHECK(*out_attrs, 0, (*in_attrs)[0]); + TYPE_ASSIGN_CHECK(*out_attrs, 1, mshadow::kFloat32); + TYPE_ASSIGN_CHECK(*out_attrs, 2, mshadow::kFloat32); + return (*in_attrs)[0] != -1; +} + +inline bool QuantizedTransposeShape(const nnvm::NodeAttrs& attrs, + mxnet::ShapeVector* in_attrs, + mxnet::ShapeVector* out_attrs) { + CHECK_EQ(in_attrs->size(), 3U); + CHECK_EQ(out_attrs->size(), 3U); + mxnet::ShapeVector qin_attrs(1); + mxnet::ShapeVector qout_attrs(1); + SHAPE_ASSIGN_CHECK(qin_attrs, 0, (*in_attrs)[0]); + SHAPE_ASSIGN_CHECK(qout_attrs, 0, (*out_attrs)[0]); + TransposeShape(attrs, &qin_attrs, &qout_attrs); + SHAPE_ASSIGN_CHECK(*in_attrs, 0, qin_attrs[0]); + SHAPE_ASSIGN_CHECK(*out_attrs, 0, qout_attrs[0]); + SHAPE_ASSIGN_CHECK(*in_attrs, 1, mxnet::TShape{1}); + SHAPE_ASSIGN_CHECK(*in_attrs, 2, mxnet::TShape{1}); + SHAPE_ASSIGN_CHECK(*out_attrs, 1, mxnet::TShape{1}); + SHAPE_ASSIGN_CHECK(*out_attrs, 2, mxnet::TShape{1}); + return shape_is_known(qout_attrs[0]); +} + +NNVM_REGISTER_OP(_contrib_quantized_transpose) + .add_alias("_npx_quantized_transpose") + .set_num_inputs(3) + .set_num_outputs(3) + .set_attr_parser(ParamParser<TransposeParam>) + .set_attr<mxnet::FInferShape>("FInferShape", QuantizedTransposeShape) + .set_attr<nnvm::FInferType>("FInferType", QuantizedTransposeType) + // TODO(Xinyu): a temp solution to enable GluonCV INT8 flow, Review comment: I believe this comment is taken from another operator and as its scope is bigger than just transpose op, checking whether it is still valid could be done in a separate task. -- This is an automated message from the Apache Git Service. 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