wehub-resource-sync
62 lines
2.0 KiB
C++
62 lines
2.0 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/axis_utils.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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#include "paddle/phi/kernels/funcs/softmax.h"
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#include "paddle/phi/kernels/funcs/softmax_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void GumbelSoftmaxGradKernel(const Context& dev_ctx,
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const DenseTensor& out,
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const DenseTensor& dout,
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int axis,
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DenseTensor* dx) {
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const int rank = dx->dims().size();
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axis = funcs::CanonicalAxis(axis, rank);
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int64_t axis_dim = dx->dims()[axis];
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// allocate memory on device.
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dev_ctx.template Alloc<T>(dx);
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if (dx->numel() == 0) {
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return;
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}
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// For 0D Tensor
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if (rank == 0) {
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funcs::set_constant(dev_ctx, dx, static_cast<T>(0.0));
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return;
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}
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// TODO(large-tensor): SoftmaxGradFunctor not support int64
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PADDLE_ENFORCE_LE_INT_MAX(axis_dim, "axis_dim");
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const int size_to_axis = funcs::SizeToAxis(axis, dx->dims());
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const int size_from_axis = funcs::SizeFromAxis(axis, dx->dims());
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DenseTensor dx_2d(*dx), out_2d(out), dout_2d(dout);
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dx_2d.Resize({size_to_axis, size_from_axis});
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out_2d.Resize({size_to_axis, size_from_axis});
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dout_2d.Resize({size_to_axis, size_from_axis});
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funcs::SoftmaxGradFunctor<Context, T>()(
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dev_ctx, axis_dim, &out_2d, &dout_2d, &dx_2d);
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}
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} // namespace phi
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