44 lines
1.5 KiB
Plaintext
44 lines
1.5 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/exponential_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/amp_type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/distribution_helper.h"
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namespace phi {
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template <typename T, typename Context>
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void ExponentialKernel(const Context &dev_ctx,
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const DenseTensor &x,
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float lambda,
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DenseTensor *out) {
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using MT = typename MPTypeTrait<T>::Type;
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funcs::uniform_distribution<MT> dist;
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funcs::exponential_transform<MT> trans(lambda);
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funcs::distribution_and_transform<T>(dev_ctx, out, dist, trans);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(exponential,
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GPU,
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ALL_LAYOUT,
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phi::ExponentialKernel,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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