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tensorflow/c/c_api.cc
const string& name = pair.first; if ((name == prefix) || absl::StartsWith(name, prefix_cmp)) { status->status = InvalidArgument( "prefix [", prefix, "] conflicts with existing node in the graph named [", name, "]"); return; } } child_scope_name = prefix; } tensorflow::Scope scope =
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tensorflow/BUILD
# linking against the C and C++ APIs (such as libjpeg). When we create # the shared library, only export the core TF API functions to avoid # causing library conflicts (e.g., those reported in github issue 1924). # On Linux, tell the linker (-Wl,<option>) to use a version script that # excludes all but a subset of function names.
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RELEASE.md
resource handles pointing to it are gone. * `tf.data`: * Introduce the `tf.data.experimental.at` API which provides random access for input pipelines that consist of transformations that support random access. The initial set of transformations that support random access includes: `tf.data.Dataset.from_tensor_slices`,`tf.data.Dataset.shuffle`,
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README.md
desired TensorFlow version, for example, branch `r2.8` for version 2.8. * Apply (that is, cherry-pick) the desired changes and resolve any code conflicts. * Run TensorFlow tests and ensure they pass. * [Build](https://www.tensorflow.org/install/source) the TensorFlow pip package from source. ## Continuous build status
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tensorflow/c/c_api.h
// (https://www.tensorflow.org/code/tensorflow/core/framework/api_def.proto). // // The provided ApiDefs will be merged with existing ones in the map, with // precedence given to the newly added version in case of conflicts with // previous calls to TF_ApiDefMapPut. TF_CAPI_EXPORT extern void TF_ApiDefMapPut(TF_ApiDefMap* api_def_map, const char* text, size_t text_len,
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