wehub-resource-sync
79 lines
2.6 KiB
C++
79 lines
2.6 KiB
C++
// 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/logspace_kernel.h"
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#include <cmath>
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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/data_type_transform.h"
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namespace phi {
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template <typename T, typename Context>
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void LogspaceKernel(const Context& dev_ctx,
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const DenseTensor& start,
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const DenseTensor& stop,
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const DenseTensor& number,
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const DenseTensor& base,
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DataType dtype,
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DenseTensor* out) {
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int32_t num = number.data<int32_t>()[0];
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auto start_t = funcs::TransDataType(dev_ctx, start, dtype);
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auto stop_t = funcs::TransDataType(dev_ctx, stop, dtype);
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auto base_t = funcs::TransDataType(dev_ctx, base, dtype);
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T start_data = start_t.template data<T>()[0];
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T stop_data = stop_t.template data<T>()[0];
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T base_data = base_t.template data<T>()[0];
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PADDLE_ENFORCE_GT(
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num,
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0,
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common::errors::InvalidArgument("The num of logspace op should be larger "
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"than 0, but received num is %d",
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num));
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out->Resize({num});
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T* out_data = dev_ctx.template Alloc<T>(out);
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if (num > 1) {
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// step should be of double type for all types
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double step = (static_cast<double>(stop_data - start_data)) / (num - 1);
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int half_num = num / 2;
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for (int i = 0; i < num; ++i) {
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if (i < half_num) {
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out_data[i] =
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static_cast<T>(std::pow(base_data, start_data + step * i));
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} else {
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out_data[i] = static_cast<T>(
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std::pow(base_data, stop_data - step * (num - i - 1)));
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}
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}
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} else {
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out_data[0] = static_cast<T>(std::pow(base_data, start_data));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(logspace,
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CPU,
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ALL_LAYOUT,
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phi::LogspaceKernel,
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float,
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int32_t,
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int64_t,
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double) {}
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