wehub-resource-sync
51 lines
1.8 KiB
C++
51 lines
1.8 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/multinomial_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/multinomial_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void MultinomialKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const Scalar& num_samples,
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bool replacement,
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DenseTensor* out) {
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auto* in_data = x.data<T>();
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int64_t* out_data = dev_ctx.template Alloc<int64_t>(out);
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auto in_dims = x.dims();
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int in_rank = in_dims.size();
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const int64_t num_categories = in_dims[in_rank - 1];
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const int64_t num_distributions = in_rank > 1 ? in_dims[in_rank - 2] : 1;
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funcs::MultinomialFunctor<T>(dev_ctx,
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out_data,
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in_data,
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num_samples.to<int>(),
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replacement,
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num_categories,
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num_distributions);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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multinomial, CPU, ALL_LAYOUT, phi::MultinomialKernel, float, double) {
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kernel->OutputAt(0).SetDataType(phi::DataType::INT64);
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}
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