wehub-resource-sync
56 lines
1.8 KiB
C++
56 lines
1.8 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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#include "paddle/phi/kernels/is_empty_kernel.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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namespace phi {
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template <typename T, typename Context>
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void IsEmptyKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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// Note: is_empty is always executed on CPU and the output data should
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// always be allocated for CPUPlace. We register CUDA kernel for this op to
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// avoid the unnecessary data transform.
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bool* out_data = dev_ctx.template HostAlloc<bool>(out);
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out_data[0] = common::product(x.dims()) == 0;
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}
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} // namespace phi
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PD_REGISTER_KERNEL(is_empty,
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CPU,
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ALL_LAYOUT,
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phi::IsEmptyKernel,
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float,
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double,
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int,
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int64_t) {
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
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}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(is_empty,
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GPU,
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ALL_LAYOUT,
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phi::IsEmptyKernel,
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float,
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double,
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int,
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int64_t) {}
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#endif
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