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tensorflow/c/experimental/gradients/BUILD
"//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_cuda_cc_test( name = "nn_grad_test", size = "small", srcs = [ "nn_grad_test.cc", ], args = ["--heap_check="], # TODO(b/174752220): Remove tags = tf_cuda_tests_tags() + ["no_cuda_asan"], # b/173654156, deps = [ ":grad_test_helper", ":nn_grad",
Plain Text - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Mon Apr 01 20:39:44 GMT 2024 - 6.7K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
--experimental_cc_shared_library \ --@local_config_cuda//:enable_cuda \ --define framework_shared_object=false \ "somepath(//tensorflow/tools/pip_package:build_pip_package, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\ "@local_config_cuda//cuda:cudnn + "\ "@local_config_cuda//cuda:curand + "\ "@local_config_cuda//cuda:cusolver + "\
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 12.7K bytes - Viewed (0) -
ci/official/containers/linux_arm64/Dockerfile
# Install devtoolset devel dependencies COPY setup.sources.sh /setup.sources.sh COPY setup.packages.sh /setup.packages.sh COPY devel.packages.txt /devel.packages.txt COPY cuda.packages.txt /cuda.packages.txt RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt # Install various tools. # - bats: bash unit testing framework # NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break
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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1
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.github/ISSUE_TEMPLATE/tflite-other.md
- type: input id: Compiler attributes: label: GCC/Compiler version description: if compiling from source placeholder: validations: required: false - type: input id: Cuda attributes: label: CUDA/cuDNN version description: placeholder: validations: required: false - type: input id: Gpu attributes: label: GPU model and memory description: if
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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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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
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ci/devinfra/docker_windows/Dockerfile
sdkmanager 'build-tools;27.0.3'; # Install Scoop and packages RUN iex \"& {$(irm get.scoop.sh)} -RunAsAdmin\"; \ scoop install perl; \ scoop install bazel; \ scoop install cuda; \ scoop install azure-functions-core-tools; \ scoop install azure-cli; # Setting environment variables RUN [Environment]::SetEnvironmentVariable('CYGWIN', 'winsymlinks:native', 'Machine'); \
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README.md
[Docker container](https://www.tensorflow.org/install/docker), and [build from source](https://www.tensorflow.org/install/source). To install the current release, which includes support for [CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and Windows)*: ``` $ pip install tensorflow ``` Other devices (DirectX and MacOS-metal) are supported using
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3"
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