| /* |
| * 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 |
| * \author: Rafal Litka, rafal.litka@intel.com |
| */ |
| #include <mxnet/op_attr_types.h> |
| #include "../tensor/matrix_op-inl.h" |
| #include "../numpy/np_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; |
| } |
| |
| typedef bool (*TransposeShapeFunAny)(const nnvm::NodeAttrs&, |
| mxnet::ShapeVector*, |
| mxnet::ShapeVector*); |
| |
| template <TransposeShapeFunAny TransposeShapeFun> |
| 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]); |
| bool ret = TransposeShapeFun(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 ret; |
| } |
| |
| #define MXNET_OPERATOR_REGISTER_QUANTIZED_TRANSPOSE(name) \ |
| NNVM_REGISTER_OP(name) \ |
| .set_num_inputs(3) \ |
| .set_num_outputs(3) \ |
| .set_attr<nnvm::FInferType>("FInferType", QuantizedTransposeType) \ |
| .set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes) \ |
| .set_attr<nnvm::FListInputNames>( \ |
| "FListInputNames", \ |
| [](const NodeAttrs& attrs) { \ |
| return std::vector<std::string>{"data", "min_data", "max_data"}; \ |
| }) \ |
| .set_attr<nnvm::FListOutputNames>( \ |
| "FListOutputNames", \ |
| [](const NodeAttrs& attrs) { \ |
| return std::vector<std::string>{"output", "min_output", "max_output"}; \ |
| }) \ |
| .set_attr<FQuantizable>("FQuantizable", \ |
| [](const NodeAttrs& attrs) { return QuantizeType::kSupport; }) \ |
| .add_argument("data", "NDArray-or-Symbol", "Array to be transposed.") \ |
| .add_argument("min_data", \ |
| "NDArray-or-Symbol", \ |
| "The minimum scalar value " \ |
| "possibly produced for the data") \ |
| .add_argument("max_data", \ |
| "NDArray-or-Symbol", \ |
| "The maximum scalar value " \ |
| "possibly produced for the data") |
| |
| MXNET_OPERATOR_REGISTER_QUANTIZED_TRANSPOSE(_npx_quantized_transpose) |
| .set_attr_parser(ParamParser<NumpyTransposeParam>) |
| .set_attr<mxnet::FInferShape>("FInferShape", QuantizedTransposeShape<NumpyTransposeShape>) |
| .add_arguments(NumpyTransposeParam::__FIELDS__()); |
| |
| MXNET_OPERATOR_REGISTER_QUANTIZED_TRANSPOSE(_contrib_quantized_transpose) |
| .add_alias("quantized_transpose") |
| .set_attr_parser(ParamParser<TransposeParam>) |
| .set_attr<mxnet::FInferShape>("FInferShape", QuantizedTransposeShape<TransposeShape>) |
| .add_arguments(TransposeParam::__FIELDS__()); |
| |
| NNVM_REGISTER_OP(transpose).set_attr<FQuantizedOp>("FQuantizedOp", [](const NodeAttrs& attrs) { |
| nnvm::ObjectPtr node = nnvm::Node::Create(); |
| node->attrs.op = Op::Get("_contrib_quantized_transpose"); |
| node->attrs.name = "quantized_" + attrs.name; |
| node->attrs.dict = attrs.dict; |
| if (node->op()->attr_parser != nullptr) { |
| node->op()->attr_parser(&(node->attrs)); |
| } |
| return node; |
| }); |
| |
| NNVM_REGISTER_OP(_npi_transpose).set_attr<FQuantizedOp>("FQuantizedOp", [](const NodeAttrs& attrs) { |
| nnvm::ObjectPtr node = nnvm::Node::Create(); |
| node->attrs.op = Op::Get("_npx_quantized_transpose"); |
| node->attrs.name = "quantized_" + attrs.name; |
| node->attrs.dict = attrs.dict; |
| if (node->op()->attr_parser != nullptr) { |
| node->op()->attr_parser(&(node->attrs)); |
| } |
| return node; |
| }); |
| |
| } // namespace op |
| } // namespace mxnet |
