wehub-resource-sync
51 lines
2.1 KiB
Plaintext
51 lines
2.1 KiB
Plaintext
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#include "paddle/phi/kernels/l1_norm_kernel.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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namespace phi {
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// Out = sum(abs(X))
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template <typename T, typename Context>
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void L1NormKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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auto x_tmp = EigenVector<T>::Flatten(x);
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auto out_tmp = EigenScalar<T>::From(*out);
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auto& dev = *dev_ctx.eigen_device();
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funcs::EigenL1Norm<std::decay_t<decltype(dev)>, T>::Eval(dev, out_tmp, x_tmp);
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}
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// dX = dout * sign(X)
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template <typename T, typename Context>
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void L1NormGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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PADDLE_ENFORCE_EQ(out_grad.numel(),
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1,
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common::errors::InvalidArgument(
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"Input(GRAD@Out) of L1NormGradOp should be a scalar."));
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dev_ctx.template Alloc<T>(x_grad);
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auto x_eigen = EigenVector<T>::Flatten(x);
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auto d_out_eigen = EigenVector<T>::Flatten(out_grad);
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auto dx_eigen = EigenVector<T>::Flatten(*x_grad);
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auto& dev = *dev_ctx.eigen_device();
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Eigen::DSizes<int64_t, 1> x_dsize(x.numel());
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funcs::EigenL1NormGrad<std::decay_t<decltype(dev)>, T>::Eval(
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dev, dx_eigen, d_out_eigen, x_eigen, x_dsize);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(l1_norm, GPU, ALL_LAYOUT, phi::L1NormKernel, float) {}
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