wehub-resource-sync
69 lines
2.3 KiB
C++
69 lines
2.3 KiB
C++
// Copyright (c) 2025 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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#pragma once
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#include <limits>
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#include "paddle/phi/common/bfloat16.h"
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#include "paddle/phi/common/float16.h"
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#include "paddle/phi/common/int_array.h"
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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template <typename T, typename Context>
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void RandomKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int64_t from,
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int64_t to,
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DenseTensor* out);
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template <typename scalar_t>
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int64_t update_from(int64_t from) {
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static_assert(std::is_floating_point<scalar_t>::value ||
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std::is_same<scalar_t, paddle::float16>::value ||
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std::is_same<scalar_t, paddle::bfloat16>::value,
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"scalar_t must be floating-point type");
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const auto from_plus_1 =
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static_cast<int64_t>(static_cast<scalar_t>(from + 1));
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if (from_plus_1 < from) {
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int64_t from_ = std::abs(from + 1);
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int n = 0;
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while (from_ >>= 1) ++n;
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from =
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from_plus_1 + (1LL << (n - std::numeric_limits<scalar_t>::digits + 1));
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}
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return from;
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}
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template <typename scalar_t>
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int64_t update_to(int64_t to) {
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static_assert(std::is_floating_point<scalar_t>::value ||
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std::is_same<scalar_t, paddle::float16>::value ||
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std::is_same<scalar_t, paddle::bfloat16>::value,
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"scalar_t must be floating-point type");
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const auto to_minus_1 = static_cast<int64_t>(static_cast<scalar_t>(to - 1));
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if (to_minus_1 >= to) {
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int64_t to_ = std::abs(to - 1);
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int n = 0;
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while (to_ >>= 1) ++n;
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to = to_minus_1 - (1LL << (n - std::numeric_limits<scalar_t>::digits + 1));
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}
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return to;
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}
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} // namespace phi
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