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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.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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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_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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docs/pt/docs/python-types.md
```Python first_name="john", last_name="doe" ``` É uma coisa diferente. Estamos usando dois pontos (`:`), não é igual a (`=`). E adicionar type hints normalmente não muda o que acontece do que aconteceria sem elas. Mas agora, imagine que você está novamente no meio da criação dessa função, mas com type hints. No mesmo ponto, você tenta acionar o preenchimento automático com o `Ctrl Space` e vê:
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api/go1.11.txt
pkg debug/elf, const EM_CRX = 114 pkg debug/elf, const EM_CRX Machine pkg debug/elf, const EM_CSR_KALIMBA = 219 pkg debug/elf, const EM_CSR_KALIMBA Machine pkg debug/elf, const EM_CUDA = 190 pkg debug/elf, const EM_CUDA Machine pkg debug/elf, const EM_CYPRESS_M8C = 161 pkg debug/elf, const EM_CYPRESS_M8C Machine pkg debug/elf, const EM_D10V = 85 pkg debug/elf, const EM_D10V Machine pkg debug/elf, const EM_D30V = 86
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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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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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tensorflow/c/c_api_test.cc
TF_DeleteTensor(t); EXPECT_TRUE(deallocator_called); } TEST(CAPI, LibraryLoadFunctions) { // TODO(b/73318067): Fix linking for the GPU test generated by the // tf_cuda_cc_test() bazel rule and remove the next line. if (!GPUDeviceName().empty()) return; #if !defined(TENSORFLOW_NO_SHARED_OBJECTS) { // Load the library. TF_Status* status = TF_NewStatus();
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okhttp/src/main/resources/okhttp3/internal/publicsuffix/PublicSuffixDatabase.gz
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