wehub-resource-sync
55 lines
1.8 KiB
C++
55 lines
1.8 KiB
C++
// Copyright (c) 2022 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/impl/renorm_impl.h"
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#include "paddle/phi/kernels/renorm_grad_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void RenormGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& dout,
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float p,
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int axis,
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float max_norm,
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DenseTensor* dx) {
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int64_t numel = dout.numel();
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const T* dout_data = dout.template data<T>();
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const T* x_data = x.template data<T>();
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auto input_dims = x.dims();
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int dim = axis;
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auto dimension_each = input_dims[dim];
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dx->Resize(x.dims());
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dev_ctx.template Alloc<T>(dx);
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if (dx && dx->numel() == 0) {
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return;
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}
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funcs::RenormGradFunc(dev_ctx,
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x_data,
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dout_data,
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dx->data<T>(),
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p,
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dim,
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max_norm,
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dimension_each,
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input_dims,
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numel);
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}
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} // namespace phi
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