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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/unstack_kernel.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/stack_and_unstack.h"
namespace phi {
template <typename T, typename Context>
void UnStackKernel(const Context& dev_ctx,
const DenseTensor& x,
int axis,
int num,
std::vector<DenseTensor*> outs) {
if (axis < 0) axis += x.dims().size();
int64_t split_dim = x.dims()[axis];
PADDLE_ENFORCE_EQ(
split_dim,
outs.size(),
common::errors::InvalidArgument(
"Output outs's size should be equal to the split_dim, but"
" received split_dim is:%d outs's size is:%d.",
split_dim,
outs.size()));
funcs::UnStackRawKernel<T, Context>(dev_ctx, x, axis, &outs);
}
} // namespace phi
PD_REGISTER_KERNEL(unstack,
GPU,
ALL_LAYOUT,
phi::UnStackKernel,
float,
double,
int64_t,
int,
phi::float16,
phi::bfloat16,
phi::complex64,
phi::complex128) {}