wehub-resource-sync
63 lines
2.0 KiB
Plaintext
63 lines
2.0 KiB
Plaintext
// 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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#include "paddle/phi/kernels/stack_grad_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/stack_and_unstack.h"
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namespace phi {
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template <typename T, typename Context>
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void StackGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad,
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int axis,
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std::vector<DenseTensor*> x_grad) {
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if (axis < 0) axis += out_grad.dims().size();
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int64_t split_dim = out_grad.dims()[axis];
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PADDLE_ENFORCE_EQ(
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split_dim,
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x_grad.size(),
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common::errors::InvalidArgument(
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"Output x_grad's size should be equal to the split_dim, but"
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" received split_dim is:%d x_grad's size is:%d.",
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split_dim,
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x_grad.size()));
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funcs::UnStackRawKernel<T, Context>(dev_ctx, out_grad, axis, &x_grad);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(stack_grad,
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GPU,
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ALL_LAYOUT,
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phi::StackGradKernel,
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bool,
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float,
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double,
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int,
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int8_t,
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int64_t,
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uint8_t,
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int16_t,
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phi::float16,
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phi::bfloat16,
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phi::float8_e4m3fn,
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phi::float8_e5m2,
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phi::complex64,
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phi::complex128) {}
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