wehub-resource-sync
86 lines
3.2 KiB
C++
86 lines
3.2 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/check_numerics_kernel.h"
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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/check_numerics_utils.h"
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namespace phi {
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template <typename T, typename Context>
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void CheckNumericsKernel(const Context& dev_ctx,
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const DenseTensor& tensor,
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const std::string& op_type,
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const std::string& var_name,
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const int check_nan_inf_level,
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const int stack_height_limit,
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const std::string& output_dir,
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DenseTensor* stats,
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DenseTensor* values) {
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// stats stores the checking result of num_nan, num_inf and num_zero.
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stats->Resize({static_cast<int64_t>(3)});
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int64_t* stats_ptr = dev_ctx.template Alloc<int64_t>(stats);
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// values stores the max_value, min_value and mean_value.
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values->Resize({static_cast<int64_t>(3)});
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float* values_ptr = dev_ctx.template Alloc<float>(values);
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if (tensor.numel() == 0) {
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stats_ptr[0] = 0;
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stats_ptr[1] = 0;
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stats_ptr[2] = 0;
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values_ptr[0] = static_cast<float>(0);
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values_ptr[1] = static_cast<float>(0);
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values_ptr[2] = static_cast<float>(0);
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return;
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}
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std::string cpu_hint_str =
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funcs::GetCpuHintString<T>(op_type, var_name, tensor.place());
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funcs::CheckNumericsCpuImpl(tensor.data<T>(),
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tensor.numel(),
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cpu_hint_str,
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check_nan_inf_level,
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"cpu",
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output_dir,
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stats_ptr,
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values_ptr);
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}
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#ifdef _WIN32
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INSTANTIATE_CHECKNUMBERICS_KERNEL(float, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(double, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(float16, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(bfloat16, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(complex64, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(complex128, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(float8_e4m3fn, CPUContext)
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INSTANTIATE_CHECKNUMBERICS_KERNEL(float8_e5m2, CPUContext)
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#endif
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} // namespace phi
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PD_REGISTER_KERNEL(check_numerics,
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CPU,
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ALL_LAYOUT,
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phi::CheckNumericsKernel,
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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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phi::complex64,
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phi::complex128,
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phi::float8_e4m3fn,
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phi::float8_e5m2) {}
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