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99 lines
3.2 KiB
99 lines
3.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/framework/op_registry.h"
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#include "paddle/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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inline void TransCompute(const int dim, const DeviceContext& dev_ctx,
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const framework::Tensor& in, framework::Tensor* out,
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const std::vector<int>& axis) {
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switch (dim) {
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case 1:
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math::Transpose<DeviceContext, T, 1> trans1;
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trans1(dev_ctx, in, out, axis);
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break;
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case 2:
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math::Transpose<DeviceContext, T, 2> trans2;
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trans2(dev_ctx, in, out, axis);
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break;
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case 3:
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math::Transpose<DeviceContext, T, 3> trans3;
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trans3(dev_ctx, in, out, axis);
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break;
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case 4:
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math::Transpose<DeviceContext, T, 4> trans4;
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trans4(dev_ctx, in, out, axis);
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break;
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case 5:
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math::Transpose<DeviceContext, T, 5> trans5;
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trans5(dev_ctx, in, out, axis);
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break;
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case 6:
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math::Transpose<DeviceContext, T, 6> trans6;
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trans6(dev_ctx, in, out, axis);
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break;
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default:
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PADDLE_THROW("Tensors with rank at most 6 are supported");
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}
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}
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template <typename DeviceContext, typename T>
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class TransposeKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* x = context.Input<framework::Tensor>("X");
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auto* out = context.Output<framework::Tensor>("Out");
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out->mutable_data<T>(context.GetPlace());
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std::vector<int> axis = context.Attr<std::vector<int>>("axis");
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int ndims = axis.size();
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auto& dev_ctx = context.template device_context<DeviceContext>();
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TransCompute<DeviceContext, T>(ndims, dev_ctx, *x, out, axis);
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}
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};
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template <typename DeviceContext, typename T>
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class TransposeGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* out_grad =
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context.Input<framework::Tensor>(framework::GradVarName("Out"));
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auto* x_grad =
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context.Output<framework::Tensor>(framework::GradVarName("X"));
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if (!x_grad) return;
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x_grad->mutable_data<T>(context.GetPlace());
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std::vector<int> axis = context.Attr<std::vector<int>>("axis");
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std::vector<int> reversed_axis(axis);
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for (size_t i = 0; i < axis.size(); i++) {
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reversed_axis[axis[i]] = i;
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}
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int ndims = axis.size();
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auto& dev_ctx = context.template device_context<DeviceContext>();
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TransCompute<DeviceContext, T>(ndims, dev_ctx, *out_grad, x_grad,
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reversed_axis);
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}
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};
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} // namespace operators
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} // namespace paddle
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