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D | benchmarks.md | 19 NVIDIA® DGX-1™. Most of the tests were run with both synthetic and real data. 28 ### Training with NVIDIA® DGX-1™ (NVIDIA® Tesla® P100) 34 Details and additional results are in the [Details for NVIDIA® DGX-1™ (NVIDIA® 37 ### Training with NVIDIA® Tesla® K80 44 (NVIDIA® Tesla® K80)](#details_for_google_compute_engine_nvidia_tesla_k80) and 45 [Details for Amazon EC2 (NVIDIA® Tesla® 48 ### Distributed training with NVIDIA® Tesla® K80 55 (NVIDIA® Tesla® K80)](#details_for_amazon_ec2_distributed_nvidia_tesla_k80) 60 **NVIDIA® Tesla® P100** 67 **NVIDIA® Tesla® K80** [all …]
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/external/deqp/external/graphicsfuzz/data/gles3/graphicsfuzz/synthetic/ |
D | variant_4.frag | 7 // NVIDIA SHIELD Android TV 9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00 10 // GL_VENDOR: NVIDIA Corporation 11 // GL_RENDERER: NVIDIA Tegra
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/external/deqp/external/graphicsfuzz/data/gles3/graphicsfuzz/bubblesort_flag/ |
D | variant_2.frag | 7 // NVIDIA SHIELD Android TV 9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00 10 // GL_VENDOR: NVIDIA Corporation 11 // GL_RENDERER: NVIDIA Tegra
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D | variant_1.frag | 7 // NVIDIA SHIELD Android TV 9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00 10 // GL_VENDOR: NVIDIA Corporation 11 // GL_RENDERER: NVIDIA Tegra
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/external/deqp/external/openglcts/ |
D | README.md | 776 - Jeff Bolz, NVIDIA 779 - Pat Brown, NVIDIA 782 - Antoine Chauveau, NVIDIA 789 - Piers Daniell, NVIDIA 791 - Chris Dodd, NVIDIA 795 - Bryan Eyler, NVIDIA 798 - Michael Frydrych, NVIDIA 802 - Klaus Gerlicher, NVIDIA 805 - Nick Haemel, NVIDIA 811 - Mathias Heyer, NVIDIA [all …]
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/external/tensorflow/tensorflow/docs_src/install/ |
D | install_windows.md | 17 NVIDIA® GPU, you must install this version. Note that this version of 19 in 5 or 10 minutes), so even if you have an NVIDIA GPU, we recommend 23 system has a NVIDIA® GPU meeting the prerequisites shown below 30 described in this guide, then the following NVIDIA software must be 34 [NVIDIA's 37 environment variable as described in the NVIDIA documentation. 38 * The NVIDIA drivers associated with CUDA Toolkit 9.0. 40 [NVIDIA's documentation](https://developer.nvidia.com/cudnn). 45 [NVIDIA documentation](https://developer.nvidia.com/cuda-gpus) for a
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D | install_linux.md | 17 NVIDIA® GPU, you must install this version. Note that this version of 19 in 5 or 10 minutes), so even if you have an NVIDIA GPU, we recommend 23 system has a NVIDIA® GPU meeting the prerequisites shown below and you 28 ### NVIDIA requirements to run TensorFlow with GPU support 31 mechanisms described in this guide, then the following NVIDIA software 35 …[NVIDIA's documentation](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#axzz4VZnqTJ2A). 38 NVIDIA documentation. 39 * The NVIDIA drivers associated with CUDA Toolkit 9.0. 41 [NVIDIA's documentation](https://developer.nvidia.com/cudnn). 43 described in the NVIDIA documentation. [all …]
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D | install_sources.md | 39 NVIDIA® GPU, build and install this version. Note that this version of 41 have an NVIDIA GPU, we recommend building and installing this version 45 has a NVIDIA GPU and you need to run performance-critical applications, 47 Beyond the NVIDIA GPU itself, your system must also fulfill the NVIDIA 92 * optionally, NVIDIA packages to support TensorFlow for GPU. 128 The following NVIDIA <i>hardware</i> must be installed on your system: 131 [NVIDIA documentation](https://developer.nvidia.com/cuda-gpus) 134 The following NVIDIA <i>software</i> must be installed on your system: 136 * NVIDIA's Cuda Toolkit (>= 7.0). We recommend version 9.0. 138 …[NVIDIA's documentation](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/#axzz4VZnqTJ2A). [all …]
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/external/tensorflow/tensorflow/contrib/nccl/ |
D | BUILD | 2 # Wrap NVIDIA (https://github.com/NVIDIA/nccl) NCCL with tensorflow ops.
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/external/tensorflow/tensorflow/docs_src/performance/xla/ |
D | index.md | 60 well as the NVIDIA GPU backend are in the TensorFlow source tree. 88 The GPU backend currently supports NVIDIA GPUs via the LLVM NVPTX backend; the 93 XLA currently supports @{$jit$JIT compilation} on x86-64 and NVIDIA GPUs; and
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/external/v8/src/base/ |
D | cpu.h | 48 static const int NVIDIA = 0x4e; variable
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/external/tensorflow/tensorflow/tools/docker/ |
D | README.md | 35 [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Run using 98 Rebuilding GPU images requires [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
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/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
D | README.md | 39 a single NVIDIA Titan X (Pascal) GPU on a host with an
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/external/libdrm/tests/util/ |
D | Android.bp | 2 // Copyright © 2015 NVIDIA Corporation
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/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
D | README.md | 45 using a single NVIDIA Titan X (Pascal) GPU on a host with an Intel Xeon E5-1650
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/external/skqp/ |
D | AUTHORS | 33 NVIDIA <*@nvidia.com>
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/external/skia/ |
D | AUTHORS | 33 NVIDIA <*@nvidia.com>
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/external/autotest/client/deps/glbench/ |
D | USAGE_glbench | 23 # board_id: NVIDIA Corporation - Quadro FX 380/PCI/SSE2
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/external/tensorflow/tensorflow/contrib/tensorrt/ |
D | BUILD | 2 # Wrap NVIDIA TensorRT (http://developer.nvidia.com/tensorrt) with tensorflow
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/external/libdrm/ |
D | configure.ac | 256 dnl $3 - GPU name/brand. Eg. Intel, NVIDIA Tegra, ... 276 LIBDRM_ATOMICS_NOT_FOUND_MSG($NOUVEAU, nouveau, NVIDIA, nouveau) 285 LIBDRM_ATOMICS_NOT_FOUND_MSG($TEGRA, tegra, NVIDIA Tegra, tegra-experimental-api)
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/external/llvm/docs/ |
D | CompileCudaWithLLVM.rst | 55 We assume you have installed the CUDA driver and runtime. Consult the `NVIDIA 239 32-bit ones on NVIDIA GPUs due to lack of a divide unit. Many of the 64-bit
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/external/clang/include/clang/Frontend/ |
D | LangStandards.def | 163 "NVIDIA CUDA(tm)",
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/external/swiftshader/third_party/llvm-subzero/include/llvm/ADT/ |
D | Triple.h | 137 NVIDIA, enumerator
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/external/llvm/include/llvm/ADT/ |
D | Triple.h | 133 NVIDIA, enumerator
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/external/v8/ |
D | AUTHORS | 14 NVIDIA Corporation <*@nvidia.com>
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