wehub-resource-sync
82 lines
2.7 KiB
Plaintext
82 lines
2.7 KiB
Plaintext
// 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/cumprod_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/complex_functors.h"
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#include "paddle/phi/kernels/funcs/cumprod.h"
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#include "paddle/phi/kernels/funcs/elementwise_functor.h"
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#include "paddle/phi/kernels/funcs/exclusive_scan.h"
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#include "paddle/phi/kernels/funcs/inclusive_scan.h"
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namespace phi {
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template <typename T, typename Context>
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void CumprodKernel(const Context &dev_ctx,
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const DenseTensor &input,
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int dim,
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bool exclusive,
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bool reverse,
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DenseTensor *out) {
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const auto *x = &input;
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auto *y = out;
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size_t outer_dim, mid_dim, inner_dim;
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GetCumprodDimInfo(x->dims(), dim, &outer_dim, &mid_dim, &inner_dim);
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if (x->dims().size() == 0) {
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Copy<Context>(dev_ctx, input, dev_ctx.GetPlace(), false, out);
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return;
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}
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const auto *x_data = x->data<T>();
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auto *y_data = dev_ctx.template Alloc<T>(y);
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if (!exclusive) {
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funcs::InclusiveScan(x_data,
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y_data,
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outer_dim,
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mid_dim,
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inner_dim,
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static_cast<T>(1),
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funcs::MultiplyFunctor<T>(),
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/*reverse=*/reverse,
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dev_ctx);
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} else {
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funcs::ExclusiveScan(x_data,
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y_data,
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outer_dim,
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mid_dim,
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inner_dim,
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static_cast<T>(1),
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funcs::MultiplyFunctor<T>(),
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/*reverse=*/reverse,
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dev_ctx);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(cumprod,
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GPU,
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ALL_LAYOUT,
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phi::CumprodKernel,
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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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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {}
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