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f044eb8d94
* Update TensorRT-LLM --------- Co-authored-by: wangruohui <12756472+wangruohui@users.noreply.github.com>
67 lines
2.0 KiB
Plaintext
67 lines
2.0 KiB
Plaintext
/*
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* Copyright (c) 2022-2023, NVIDIA CORPORATION. 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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*/
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#include "debugUtils.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/common/memoryUtils.h"
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namespace
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{
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__global__ void checkTensorNanKernel(const float* data, std::size_t size, int* foundNan)
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{
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auto tidx = blockIdx.x * blockDim.x + threadIdx.x;
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int32_t found = 0;
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for (auto idx = tidx; idx < size; idx += blockDim.x * gridDim.x)
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{
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auto value = data[idx];
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if (isnan(value))
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{
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found = 1;
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break;
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}
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}
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atomicCAS(foundNan, 0, found);
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}
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} // namespace
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using namespace tensorrt_llm::runtime;
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namespace tc = tensorrt_llm::common;
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namespace tensorrt_llm::runtime::utils
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{
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void invokeCheckTensorNanKernel(const float* data, std::size_t size, int* foundNan, cudaStream_t stream)
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{
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constexpr uint32_t kThreadsPerCta = 256;
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checkTensorNanKernel<<<tc::ceilDiv(size, kThreadsPerCta), kThreadsPerCta, 0, stream>>>(data, size, foundNan);
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}
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bool tensorHasNan(const IBuffer& tensor, BufferManager& manager)
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{
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auto foundNan = manager.pinned(ITensor::makeShape({1}), nvinfer1::DataType::kINT32);
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auto foundNanPtr = bufferCast<int32_t>(*foundNan);
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foundNanPtr[0] = 0;
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const auto size = tensor.getSize();
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invokeCheckTensorNanKernel(bufferCast<float>(tensor), size, foundNanPtr, manager.getStream().get());
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manager.getStream().synchronize();
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return static_cast<bool>(foundNanPtr[0]);
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}
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} // namespace tensorrt_llm::runtime::utils
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