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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you # can specify whichever target you want. test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3" test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages"
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ISSUES.md
a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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CONTRIBUTING.md
there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
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ci/official/requirements_updater/requirements.in
opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras # Note that here we want the latest version that matches TF major.minor version # Note that we must use nightly here as these are used in nightly jobs # For release jobs, we will pin these on the release branch keras-nightly ~= 3.0.0.dev
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one # test for investigation, you'll need --config=pip_venv instead, and then you # can specify whichever target you want. test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3" test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages"
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tensorflow/BUILD
win_def_file = ":tensorflow_filtered_def_file", ) # To avoid duplication, check that the C++ or python library does not depend on # the stream executor cuda plugins. Targets that want to use cuda APIs should # instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config # and use header only targets. # TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on
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RELEASE.md
* If you use the very rarely-used function `tf.keras.mixed_precision.experimental.get_layer_policy`:...
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ci/devinfra/docker_windows/Dockerfile
choco install anaconda2 --version 5.0.1; \ choco install anaconda3 --version 5.0.1; \ choco install android-sdk --version 25.2.3.1; \ choco install AndroidStudio --version 3.0.1.0; \ choco install ant --version 1.10.1; \ choco install ccleaner; \ choco install chocolatey; \ choco install chocolatey-core.extension; \ choco install chocolatey-visualstudio.extension; \
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.bazelrc
# Attempt to minimize the amount of data transfer between bazel and the remote # workers: build:rbe_base --remote_download_toplevel test:rbe_base --test_env=USER=anon # TODO(kanglan): Check if we want to merge rbe_linux into rbe_linux_cpu. build:rbe_linux --config=rbe_base build:rbe_linux --action_env=PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/go/bin"
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README.md
>>> hello.numpy() b'Hello, TensorFlow!' ``` For more examples, see the [TensorFlow tutorials](https://www.tensorflow.org/tutorials/). ## Contribution guidelines **If you want to contribute to TensorFlow, be sure to review the [contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.**
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