wehub-resource-sync
108 lines
3.6 KiB
C++
108 lines
3.6 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/allclose_kernel.h"
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#include <cmath>
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#include <type_traits>
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#include "glog/logging.h"
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#include "paddle/phi/core/enforce.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 AllCloseKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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const Scalar& rtol,
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const Scalar& atol,
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bool equal_nan,
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DenseTensor* out) {
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if (x.numel() == 0 || y.numel() == 0) {
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auto* out_data = dev_ctx.template Alloc<bool>(out);
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*out_data = true;
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return;
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}
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double rtol_v = NAN, atol_v = NAN;
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if (rtol.dtype() == DataType::FLOAT64) {
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rtol_v = rtol.to<double>();
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} else if (rtol.dtype() == DataType::FLOAT32) {
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rtol_v = rtol.to<float>();
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} else {
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PADDLE_THROW(common::errors::InvalidArgument(
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"Input (Rtol) type must be double or float, but get %s.",
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rtol.dtype()));
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}
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if (atol.dtype() == DataType::FLOAT64) {
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atol_v = atol.to<double>();
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} else if (atol.dtype() == DataType::FLOAT32) {
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atol_v = atol.to<float>();
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} else {
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PADDLE_THROW(common::errors::InvalidArgument(
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"Input (Atol) type must be double or float, but get %s.",
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atol.dtype()));
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}
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VLOG(3) << "rtol and atol is : " << rtol_v << " " << atol_v;
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auto* in_a = x.data<T>();
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auto* in_b = y.data<T>();
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auto* out_data = dev_ctx.template Alloc<bool>(out);
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*out_data = true;
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auto num = x.numel();
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if (std::is_same<T, int32_t>::value || std::is_same<T, int64_t>::value ||
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std::is_same<T, bool>::value) {
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for (int64_t i = 0; i < num; ++i) {
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const double a = static_cast<double>(in_a[i]),
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b = static_cast<double>(in_b[i]);
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double left = (a > b ? a - b : b - a);
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double right = atol_v + (b > 0 ? rtol_v * b : (-rtol_v) * b);
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double diff = (left > right ? left - right : right - left);
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bool val = a == b || left <= right || diff <= 1e-15;
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*out_data &= val;
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}
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} else {
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for (int64_t i = 0; i < num; ++i) {
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const T a = in_a[i], b = in_b[i];
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bool val = false;
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if (std::isnan(static_cast<double>(a)) ||
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std::isnan(static_cast<double>(b))) {
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val = equal_nan && std::isnan(static_cast<double>(a)) ==
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std::isnan(static_cast<double>(b));
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} else {
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T left = (a > b ? a - b : b - a);
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T right = atol_v + (b > 0 ? rtol_v * b : (-rtol_v) * b);
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T diff = (left > right ? left - right : right - left);
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val = a == b || left <= right || diff <= 1e-15;
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}
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*out_data &= val;
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(allclose,
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CPU,
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ALL_LAYOUT,
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phi::AllCloseKernel,
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float,
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double,
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bool,
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int,
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int64_t) {
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kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);
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}
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