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CONTRIBUTING.md
We'd love to accept your patches! Before we can take them, we have to jump a couple of legal hurdles. Please fill out either the individual or corporate Contributor License Agreement (CLA). * If you are an individual writing original source code and you're sure you own the intellectual property, then you'll need to sign an [individual CLA](https://code.google.com/legal/individual-cla-v1.0.html).
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tensorflow/c/c_api_test.cc
TF_Operation* feed4 = TF_GraphOperationByName(graph, "imported4/imported2/feed"); // Check that imported `imported3/scalar` has remapped control dep from // original graph and imported control dep num_control_inputs = TF_OperationGetControlInputs( scalar4, control_inputs, TF_OperationNumControlInputs(scalar4)); ASSERT_EQ(2, num_control_inputs);
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tensorflow/c/c_api_experimental.cc
tensorflow::GetBuildXlaOpsPassFlags(); bool original = flags->tf_xla_enable_lazy_compilation; flags->tf_xla_enable_lazy_compilation = enable; return original; } unsigned char TF_SetTfXlaCpuGlobalJit(unsigned char enable) { tensorflow::MarkForCompilationPassFlags* flags = tensorflow::GetMarkForCompilationPassFlags(); bool original = flags->tf_xla_cpu_global_jit;
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ci/official/requirements_updater/WORKSPACE
) # buildifier: disable=same-origin-load load("@rules_python//python:repositories.bzl", "py_repositories") py_repositories() load("@rules_python//python:repositories.bzl", "python_register_multi_toolchains") # buildifier: disable=same-origin-load load("@rules_python//python/pip_install:repositories.bzl", "pip_install_dependencies")
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tensorflow/api_template.__init__.py
except (ImportError, AttributeError): pass del importlib # Delete modules that should be hidden from dir(). # Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass
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WORKSPACE
) # buildifier: disable=same-origin-load load("@rules_python//python:repositories.bzl", "py_repositories") py_repositories() load("@rules_python//python:repositories.bzl", "python_register_toolchains") # buildifier: disable=same-origin-load load( "//tensorflow/tools/toolchains/python:python_repo.bzl", "python_repository", )
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tensorflow/c/eager/tape.h
// operations which supposedly both created the same Tensor. It comes up // in recompute_grad, where the gradients have the same value. However, // only the original gradient is connected to everything else, so we // should still use that. vspace_.DeleteGradient(forward_grads[i]); } else {
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RELEASE.md
* Added utility `tf.keras.utils.to_ordinal` to convert class vector to ordinal regression / classification matrix. ### Bug Fixes and Other Changes * N/A ## Security
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ci/official/wheel_test/WORKSPACE
strip_prefix = "rules_python-0.26.0", url = "https://github.com/bazelbuild/rules_python/releases/download/0.26.0/rules_python-0.26.0.tar.gz", ) # buildifier: disable=same-origin-load load("@rules_python//python:repositories.bzl", "py_repositories") py_repositories() ## Load HERMETIC_PYTHON_VERSION variable local_repository( name = "local_tensorflow", path = "../../..", )
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configure.py
'Current value is %s.' % (var_name, ', '.join(true_strings), ', '.join(false_strings), var)) while var is None: user_input_origin = get_input(question) user_input = user_input_origin.strip().lower() if user_input == 'y': print(yes_reply) var = True elif user_input == 'n': print(no_reply) var = False elif not user_input:
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