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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.
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tensorflow/api_template_v1.__init__.py
import sys as _sys # pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import from tensorflow.python.tools import module_util as _module_util from tensorflow.python.platform import tf_logging as _logging from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader
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CONTRIBUTING.md
[following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md). * When you contribute a new feature to TensorFlow, the maintenance burden is (by default) transferred to the TensorFlow team. This means that the benefit of the contribution must be compared against the cost of maintaining the feature.
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tensorflow/c/eager/c_api_experimental.h
// EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be // reinitialized (e.g. cleared caches) as well.
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tensorflow/api_template.__init__.py
this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py) """ # pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top import distutils as _distutils import importlib import inspect as _inspect import os as _os import site as _site import sys as _sys
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tensorflow/c/eager/c_api_unified_experimental.cc
return absl::OkStatus(); } string msg = absl::StrCat( "No tracing engine factory has been registered with the key '", name, "' (available: "); // Ensure deterministic (sorted) order in the error message std::set<string> factories_sorted; for (const auto& factory : GetFactories()) factories_sorted.insert(factory.first); const char* comma = ""; for (const string& factory : factories_sorted) {
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tensorflow/BUILD
# Do not sort: Copybara rule # copybara:uncomment_begin # # buildifier: disable=out-of-order-load # load("//devtools/build_cleaner/skylark:action_config_test.bzl", "action_config_test") # load("//devtools/copybara/rules:copybara.bzl", "copybara_config_test") # load("@rules_license//rules:license.bzl", "license") # # buildifier: enable=out-of-order-load # copybara:uncomment_end # copybara:comment_begin(oss-only)
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RELEASE.md
semantics to match NumPy. * `tf.split` now takes arguments in a reversed order and with different keywords. In particular, we now match NumPy order as `tf.split(value, num_or_size_splits, axis)`. * `tf.sparse_split` now takes arguments in reversed order and with different keywords. In particular we now match NumPy order as `tf.sparse_split(sp_input, num_split, axis)`. NOTE: we have
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tensorflow/c/c_api_function_test.cc
DefineFunction("func_name_base", &func_, "Return something", /*append_hash=*/true); tensorflow::FunctionDef fdef; ASSERT_TRUE(GetFunctionDef(func_, &fdef)); #if (__BYTE_ORDER__ == __ORDER_BIG_ENDIAN__) ASSERT_EQ(string("func_name_base_ZpgUD4x8oqk"), fdef.signature().name()); #else ASSERT_EQ(string("func_name_base_qaJ8jA8UmGY"), fdef.signature().name()); #endif }
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tensorflow/c/eager/tape.h
// from a backward gradient function. Fills `out_grads` corresponding to // `output_tensors`. `out_grads` must not be null. // // Executes the backward function in order to trace its gradient, which will // waste computation if executing eagerly (when graph building the unneeded // computation is pruned). Temporarily sets `backward_tape` so that
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