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https://github.com/NVIDIA/TensorRT-LLM.git
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16d2467ea8
* Update TensorRT-LLM --------- Co-authored-by: Denis Kayshev <topenkoff@gmail.com> Co-authored-by: akhoroshev <arthoroshev@gmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com> Update
55 lines
2.4 KiB
C++
55 lines
2.4 KiB
C++
/*
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* Copyright (c) 2022-2024, 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 <cuda_runtime_api.h>
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#include <gtest/gtest.h>
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/common/logger.h"
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#include "tensorrt_llm/runtime/cudaMemPool.h"
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TEST(CudaMemPool, TestPrimaryPoolState)
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{
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auto const deviceCount = tensorrt_llm::common::getDeviceCount();
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for (int32_t deviceId = 0; deviceId < deviceCount; deviceId++)
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{
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auto const deviceSupportsMemoryPools = tensorrt_llm::runtime::CudaMemPool::supportsMemoryPool(deviceId);
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if (!deviceSupportsMemoryPools)
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{
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TLLM_LOG_INFO(
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"Testing primary memory pool state for device %i skipped as it does not support memory pools.");
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continue;
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}
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auto const primaryPool = tensorrt_llm::runtime::CudaMemPool::getPrimaryPoolForDevice(deviceId);
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if (primaryPool == nullptr)
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{
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FAIL() << "The device supports memory pools but the primary pool for it was not initialized!";
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}
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cudaMemPool_t cudaDefaultMemPool = nullptr;
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TLLM_CUDA_CHECK(::cudaDeviceGetDefaultMemPool(&cudaDefaultMemPool, deviceId));
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ASSERT_NE(primaryPool->getPool(), cudaDefaultMemPool)
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<< "The primary TRTLLM device mem pool should NOT be the device's default memory pool.";
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cudaMemPool_t cudaCurrentMemPool = nullptr;
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TLLM_CUDA_CHECK(::cudaDeviceGetMemPool(&cudaCurrentMemPool, deviceId));
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ASSERT_NE(primaryPool->getPool(), cudaCurrentMemPool)
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<< "The primary TRTLLM device mem pool should NOT be the device's current memory pool.";
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auto const primaryPoolASecondTime = tensorrt_llm::runtime::CudaMemPool::getPrimaryPoolForDevice(deviceId);
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ASSERT_EQ(primaryPoolASecondTime->getPool(), primaryPool->getPool())
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<< "Getting the primary pool for the same device twice should return the same pool.";
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}
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}
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