45 lines
1.5 KiB
C++
45 lines
1.5 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/binomial_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/binomial_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void BinomialKernel(const Context& dev_ctx,
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const DenseTensor& count,
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const DenseTensor& prob,
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DenseTensor* out) {
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auto numel = count.numel();
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auto* count_data = count.data<T>();
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auto* prob_data = prob.data<T>();
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int64_t* out_data = dev_ctx.template Alloc<int64_t>(out);
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for (int64_t i = 0; i < numel; ++i) {
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out_data[i] =
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funcs::BinomialFunctor<T>(dev_ctx, count_data[i], prob_data[i]);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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binomial, CPU, ALL_LAYOUT, phi::BinomialKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT64);
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}
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