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ci/official/requirements_updater/README.md
# Hermetic Python Hermetic Python allows not to rely on system-installed Python, and system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time.
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ci/official/wheel_test/README.md
the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime. The test doesn't identify package's order-dependent issues; for instance, importing "tf.foo" followed by "tf.bar" won't reveal that "tf.bar" depends on "tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2
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tensorflow/c/eager/c_api_unified_experimental.h
TF_Status* s); // Create an operation suitable to use with the provided context. The operation // requires its type (e.g. "AddV2") to be set independently. TF_AbstractOp* TF_NewAbstractOp(TF_ExecutionContext* ctx); void TF_DeleteAbstractOp(TF_AbstractOp*); // TODO(srbs): Add APIs for specifying attrs etc. // `op_type` must outlive `op`.
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RELEASE.md
version of `sample_distorted_bounding_box` op. Given the same seed, these stateless functions/ops produce the same results independent of how many times the function is called, and independent of global seed settings. * Adds deterministic `tf.image.resize` backprop CUDA kernels for `method=ResizeMethod.BILINEAR` (the default method). Enable by setting
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tensorflow/c/eager/immediate_execution_context.h
ImmediateExecutionOperation* CreateOperation() override = 0; // Returns whether the runtime is backed by TFRT or the legacy TF Eager // Runtime. This is necessary to decouple runtime-dependent // code that is layered on top of the runtime. virtual bool UsesTFRT() = 0; // List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;
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configure.py
return curr_version print('You have bazel %s installed.' % curr_version) return curr_version def set_cc_opt_flags(environ_cp): """Set up architecture-dependent optimization flags. Also append CC optimization flags to bazel.rc.. Args: environ_cp: copy of the os.environ. """ if is_ppc64le():
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