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tensorflow/c/experimental/ops/README.md
The C++ files in this directory (***\*_ops.h*** and ***\*_ops.cc***) are autogenerated from the registered Op and API definitions. To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with no arguments. This script will overwrite the existing ops in-place at ***tensorflow/c/experimental/ops/\*_ops.{cc,h}***. Run this `update_cpp_ops.sh` script when Op definitions change in the registry.
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tensorflow/c/experimental/filesystem/BUILD
tf_cc_test( name = "modular_filesystem_test", size = "small", srcs = ["modular_filesystem_test.cc"], linkopts = ["-ldl"], tags = [ "manual", # Requires DSOs as arguments, eventual setup "notap", # b/139060984, requires implementing modular support for Google filesystem ], deps = [ ":modular_filesystem", "//tensorflow/core:framework_internal",
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RELEASE.md
* Extends `tf.keras.layers.Lambda` layers to support multi-argument lambdas, and keyword arguments when calling the layer. * Functional models now get constructed if *any* tensor in a layer call's arguments/keyword arguments comes from a keras input. Previously the functional api would only work if all of the elements in the first argument to the layer came from a keras input.
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ci/official/requirements_updater/README.md
To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ``` export TF_PYTHON_VERSION=3.11 ``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of
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.bazelrc
# Sets the default Apple platform to macOS. build:macos --apple_platform_type=macos # gRPC on MacOS requires this #define build:macos --copt=-DGRPC_BAZEL_BUILD # Avoid hitting command line argument limit build:macos --features=archive_param_file # Settings for MacOS on ARM CPUs. build:macos_arm64 --cpu=darwin_arm64 build:macos_arm64 --macos_minimum_os=11.0
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