wehub-resource-sync
74 lines
2.8 KiB
C++
74 lines
2.8 KiB
C++
// Copyright (c) 2024 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/common/memory_utils.h"
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#include "paddle/phi/core/generator.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void XPUUniformRandomInplaceKernel(const Context& dev_ctx,
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const DenseTensor& x,
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float min,
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float max,
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int seed_in,
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int diag_num_in,
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int diag_step_in,
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float diag_val,
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DenseTensor* out) {
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T* data = dev_ctx.template Alloc<T>(out);
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int64_t size = out->numel();
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std::unique_ptr<T[]> data_cpu(new T[size]);
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std::uniform_real_distribution<T> dist(static_cast<T>(min),
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static_cast<T>(max));
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unsigned int seed = static_cast<unsigned int>(seed_in);
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auto engine = phi::GetCPURandomEngine(seed);
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for (int64_t i = 0; i < size; ++i) {
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data_cpu[i] = dist(*engine);
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}
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unsigned int diag_num = static_cast<unsigned int>(diag_num_in);
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unsigned int diag_step = static_cast<unsigned int>(diag_step_in);
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if (diag_num > 0) {
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PADDLE_ENFORCE_GT(
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size,
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(diag_num - 1) * (diag_step + 1),
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common::errors::InvalidArgument(
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"ShapeInvalid: the diagonal's elements is equal (num-1) "
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"* (step-1) with num %d, step %d,"
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"It should be smaller than %d, but received %d",
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diag_num,
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diag_step,
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(diag_num - 1) * (diag_step + 1),
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size));
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for (int64_t i = 0; i < diag_num; ++i) {
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int64_t pos = i * diag_step + i;
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data_cpu[pos] = diag_val;
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}
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}
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phi::memory_utils::Copy(dev_ctx.GetPlace(),
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data,
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CPUPlace(),
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reinterpret_cast<void*>(data_cpu.get()),
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size * sizeof(T));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(uniform_inplace,
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XPU,
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ALL_LAYOUT,
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phi::XPUUniformRandomInplaceKernel,
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float) {}
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