wehub-resource-sync
50 lines
1.7 KiB
C++
50 lines
1.7 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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#include "paddle/phi/kernels/number_count_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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#include "paddle/phi/core/tensor_utils.h"
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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namespace phi {
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template <typename T, typename Context>
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void NumberCountKernel(const Context& dev_ctx,
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const DenseTensor& numbers_in,
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int upper_range,
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DenseTensor* out) {
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auto numbers = &numbers_in;
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auto number_count = out;
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number_count->Resize({upper_range});
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dev_ctx.template Alloc<T>(number_count);
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DenseTensor cpu_tensor;
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phi::Copy(dev_ctx, *numbers, phi::CPUPlace(), true, &cpu_tensor);
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std::vector<T> count(upper_range);
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for (auto i = 0; i < cpu_tensor.numel(); ++i) {
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auto idx = static_cast<int64_t>(cpu_tensor.data<T>()[i]);
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if (idx >= 0 && idx < upper_range) {
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count[idx] += 1;
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}
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}
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TensorFromVector<T>(count, dev_ctx, number_count);
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number_count->Resize({upper_range});
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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number_count, Custom, ALL_LAYOUT, phi::NumberCountKernel, int64_t) {}
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#endif
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