wehub-resource-sync
65 lines
2.4 KiB
C++
65 lines
2.4 KiB
C++
// Copyright (c) 2023 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/unbind_kernel.h"
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#include "paddle/common/flags.h"
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#include "paddle/phi/backends/all_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/slice_kernel.h"
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COMMON_DECLARE_bool(use_stride_kernel);
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namespace phi {
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template <typename Context>
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void UnbindStridedKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int axis,
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std::vector<DenseTensor*> outs) {
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if (!FLAGS_use_stride_kernel) {
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PADDLE_THROW(common::errors::Fatal(
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"FLAGS_use_stride_kernel is closed. Strided kernel "
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"be called, something wrong has happened!"));
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}
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int64_t unbind_numel = x.numel();
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PADDLE_ENFORCE_LE(unbind_numel,
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std::numeric_limits<int>::max(),
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::common::errors::PreconditionNotMet(
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"The number of proposals in unbind should be less than "
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"2^31, but got %lld. Please check the input tensor. ",
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unbind_numel));
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int64_t num = static_cast<int64_t>(outs.size());
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int64_t start = 0;
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axis = axis < 0 ? axis + x.dims().size() : axis;
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for (int64_t i = 0; i < num; i++) {
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SliceStridedKernel<Context>(dev_ctx,
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x,
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{axis},
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IntArray({start}),
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IntArray({start + 1}),
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std::vector<int64_t>(),
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{axis},
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outs[i]);
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start += 1;
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(unbind,
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STRIDED,
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phi::UnbindStridedKernel) {}
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