63 lines
2.0 KiB
C++
63 lines
2.0 KiB
C++
// 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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#pragma once
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#include <vector>
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#include "paddle/phi/kernels/empty_kernel.h"
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#include "paddle/phi/kernels/flatten_grad_kernel.h"
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#include "paddle/phi/kernels/flatten_kernel.h"
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#include "paddle/phi/kernels/funcs/blas/blas.h"
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#include "paddle/phi/kernels/funcs/flatten2_utils.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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template <typename T, typename Context>
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void Flatten2Kernel(const Context &dev_ctx,
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const DenseTensor &x,
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int axis,
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DenseTensor *out,
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DenseTensor *x_shape) {
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auto &axes = axis;
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auto *in = &x;
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auto x_dims = in->dims();
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auto out_dims = make_ddim(funcs::GetOutputShape(axes, x_dims));
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, *in, dev_ctx.GetPlace(), false, out);
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out->Resize(out_dims);
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}
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template <typename T, typename Context>
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void Flatten2GradKernel(const Context &dev_ctx,
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const DenseTensor &x,
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const DenseTensor &x_shape,
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const DenseTensor &out_grad,
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int axis,
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DenseTensor *x_grad) {
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auto *d_x = x_grad;
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auto *d_out = &out_grad;
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auto xshape_dims = x_shape.dims();
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auto x_dims = slice_ddim(xshape_dims, 1, xshape_dims.size());
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dev_ctx.Alloc(x_grad, out_grad.dtype());
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Copy(dev_ctx, *d_out, dev_ctx.GetPlace(), false, d_x);
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d_x->Resize(x_dims);
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}
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} // namespace phi
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