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/external/tensorflow/tensorflow/docs_src/performance/
Dbenchmarks.md19 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**
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/external/deqp/external/graphicsfuzz/data/gles3/graphicsfuzz/synthetic/
Dvariant_4.frag7 // NVIDIA SHIELD Android TV
9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00
10 // GL_VENDOR: NVIDIA Corporation
11 // GL_RENDERER: NVIDIA Tegra
/external/deqp/external/graphicsfuzz/data/gles3/graphicsfuzz/bubblesort_flag/
Dvariant_2.frag7 // NVIDIA SHIELD Android TV
9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00
10 // GL_VENDOR: NVIDIA Corporation
11 // GL_RENDERER: NVIDIA Tegra
Dvariant_1.frag7 // NVIDIA SHIELD Android TV
9 // GL_VERSION: OpenGL ES 3.2 NVIDIA 361.00
10 // GL_VENDOR: NVIDIA Corporation
11 // GL_RENDERER: NVIDIA Tegra
/external/deqp/external/openglcts/
DREADME.md776 - 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
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/external/tensorflow/tensorflow/docs_src/install/
Dinstall_windows.md17 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
Dinstall_linux.md17 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.
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Dinstall_sources.md39 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).
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/external/tensorflow/tensorflow/contrib/nccl/
DBUILD2 # Wrap NVIDIA (https://github.com/NVIDIA/nccl) NCCL with tensorflow ops.
/external/tensorflow/tensorflow/docs_src/performance/xla/
Dindex.md60 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
/external/v8/src/base/
Dcpu.h48 static const int NVIDIA = 0x4e; variable
/external/tensorflow/tensorflow/tools/docker/
DREADME.md35 [nvidia-docker](https://github.com/NVIDIA/nvidia-docker). Run using
98 Rebuilding GPU images requires [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).
/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
DREADME.md39 a single NVIDIA Titan X (Pascal) GPU on a host with an
/external/libdrm/tests/util/
DAndroid.bp2 // Copyright © 2015 NVIDIA Corporation
/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/
DREADME.md45 using a single NVIDIA Titan X (Pascal) GPU on a host with an Intel Xeon E5-1650
/external/skqp/
DAUTHORS33 NVIDIA <*@nvidia.com>
/external/skia/
DAUTHORS33 NVIDIA <*@nvidia.com>
/external/autotest/client/deps/glbench/
DUSAGE_glbench23 # board_id: NVIDIA Corporation - Quadro FX 380/PCI/SSE2
/external/tensorflow/tensorflow/contrib/tensorrt/
DBUILD2 # Wrap NVIDIA TensorRT (http://developer.nvidia.com/tensorrt) with tensorflow
/external/libdrm/
Dconfigure.ac256 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)
/external/llvm/docs/
DCompileCudaWithLLVM.rst55 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
/external/clang/include/clang/Frontend/
DLangStandards.def163 "NVIDIA CUDA(tm)",
/external/swiftshader/third_party/llvm-subzero/include/llvm/ADT/
DTriple.h137 NVIDIA, enumerator
/external/llvm/include/llvm/ADT/
DTriple.h133 NVIDIA, enumerator
/external/v8/
DAUTHORS14 NVIDIA Corporation <*@nvidia.com>

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