5 Python深度学习实践accuracy: 0.9858 10000/10000 [———] - 1s 79us/sample - loss: 0.0671 - accuracy: 0.9789 ## TPU运行结果 2019-09-19 15:23:28.128919: W tensorflow/core/distributed_runtime/rpc/grpc_session.cc:370] Gr =============] - 6s 3ms/step - loss: 0.0416 - acc: 0.9861 shunwang@tpuvm:~/tfv1$ ## TPU的创建和使用 ## Create a Cloud TPU  Hourly jpg) ## TPU训练MNIST的改动   ## TPU训练MNIST的改动0 码力 | 38 页 | 4.85 MB | 2 年前3- vLLM v0.5.5 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron. - Prefix caching support - Multi-lora support For more information, check out the installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 193 页 | 1.22 MB | 3 月前5
- vLLM v0.6.1.post2 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron. - Prefix caching support - Multi-lora support For more information, check out the installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 215 页 | 1.29 MB | 3 月前3
- vLLM v0.6.2 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Trainium and Inferentia Accelerators. - Prefix caching support - Multi-lora support For installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 227 页 | 1.33 MB | 3 月前3
- vLLM v0.6.0 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron. - Prefix caching support - Multi-lora support For more information, check out the installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 201 页 | 1.26 MB | 3 月前3
- vLLM v0.6.1 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron. - Prefix caching support - Multi-lora support For more information, check out the installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 215 页 | 1.29 MB | 3 月前3
- vLLM v0.6.1.post1 DocumentationOpenAI-compatible API server - Support NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs and GPUs, PowerPC CPUs, TPU, and AWS Neuron. - Prefix caching support - Multi-lora support For more information, check out the installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single & multi host) - TPU versions: v5e, v5p, v4 - Python: 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the0 码力 | 215 页 | 1.28 MB | 3 月前3
- vLLM v0.5.4 Documentationbe installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single host) - TPU versions: v5e, v5p, v4 - Python: 3.10 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the $ docker run --privileged --net host --shm-size=16G -it vllm-tpu ``` ## 1.6.3 Build from source You can also build and install the TPU backend from source. First, install the dependencies: ```bash0 码力 | 152 页 | 1.10 MB | 3 月前3
- vLLM v0.5.3.post1 Documentationbe installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single host) - TPU versions: v5e, v5p, v4 - Python: 3.10 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the $ docker run --privileged --net host --shm-size=16G -it vllm-tpu ``` ## 1.6.3 Build from source You can also build and install the TPU backend from source. First, install the dependencies: ```bash0 码力 | 143 页 | 1.07 MB | 3 月前3
- vLLM v0.5.3 Documentationbe installed. ## 1.6 Installation with TPU vLLM supports Google Cloud TPUs using PyTorch XLA. ## 1.6.1 Requirements - Google Cloud TPU VM (single host) - TPU versions: v5e, v5p, v4 - Python: 3.10 6.2 Build a docker image with Dockerfile.tpu Dockerfile.tpu is provided to build a docker image with TPU support. $ docker build -f Dockerfile.tpu -t vllm-tpu . You can run the docker image with the $ docker run --privileged --net host --shm-size=16G -it vllm-tpu ``` ## 1.6.3 Build from source You can also build and install the TPU backend from source. First, install the dependencies: ```bash0 码力 | 143 页 | 1.07 MB | 3 月前3
共 37 条
- 1
- 2
- 3
- 4
相关搜索词
深度学习TensorFlow数据准备与增强模型优化TPUvLLM性能基准测试KV缓存管理模型集成参数配置LoRA AdapterVision Language ModelsPerformance TuningSampling Parameters量化模型多模态模型分布式推理OpenAI兼容服务器PagedAttention量化分批处理KV cacheLoRALoRA adapterVision Language Models (VLMs)paged attention多模态数据连续批量处理预emptionmulti_modal_datapreemptionchunked prefillLLMperformance tuning