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tensorflow/BUILD
# Config setting that is satisfied when TensorFlow is being built with CUDA # support through e.g. `--config=cuda` (or `--config=cuda_clang` in OSS). alias( name = "is_cuda_enabled", actual = if_oss( "@local_config_cuda//:is_cuda_enabled", "@local_config_cuda//cuda:using_clang", ), ) # Config setting that is satisfied when CUDA device code should be compiled
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tensorflow/c/eager/BUILD
load( "//tensorflow:tensorflow.bzl", "tf_cc_test", "tf_copts", "tf_cuda_cc_test", "tf_cuda_library", ) load("//tensorflow:tensorflow.default.bzl", "cc_header_only_library", "filegroup") load( "//tensorflow/core/platform:build_config_root.bzl", "tf_cuda_tests_tags", ) load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package(
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.bazelrc
build:mkl_aarch64_threadpool -c opt # CUDA: This config refers to building CUDA op kernels with nvcc. build:cuda --repo_env TF_NEED_CUDA=1 build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain build:cuda --@local_config_cuda//:enable_cuda # CUDA: This config refers to building CUDA op kernels with clang. build:cuda_clang --config=cuda # Enable TensorRT optimizations https://developer.nvidia.com/tensorrt
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RELEASE.md
* Move `layers_dense_variational_impl.py` to `layers_dense_variational.py`. ## Known Bugs * Using XLA:GPU with CUDA 9 and CUDA 9.1 results in garbage results and/or `CUDA_ILLEGAL_ADDRESS` failures. Google discovered in mid-December 2017 that the PTX-to-SASS compiler in CUDA 9 and CUDA 9.1 sometimes does not properly compute the carry bit when
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docs/pt/docs/deployment/docker.md
3. Copie o arquivo com os requisitos para o diretório `/code`. Copie **somente** o arquivo com os requisitos primeiro, não o resto do código. Como esse arquivo **não muda com frequência**, o Docker irá detectá-lo e usar o **cache** para esse passo, habilitando o cache para o próximo passo também. 4. Instale as dependências de pacote vindas do arquivo de requisitos.
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