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CODE_OF_CONDUCT.md
and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language. * Being respectful of differing viewpoints and experiences. * Gracefully accepting constructive criticism. * Focusing on what is best for the community. * Showing empathy towards other community members. Examples of unacceptable behavior by participants include:
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tensorflow/c/c_api.h
TF_Status* status); // This function creates a new TF_Session (which is created on success) using // `session_options`, and then initializes state (restoring tensors and other // assets) using `run_options`. // // Any NULL and non-NULL value combinations for (`run_options, `meta_graph_def`) // are valid. //
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tensorflow/c/c_api_experimental.cc
TF_Status* status) { using tensorflow::NodeDef; using tensorflow::OpRegistrationData; using tensorflow::Tensor; using tensorflow::shape_inference::DimensionHandle; using tensorflow::shape_inference::InferenceContext; using tensorflow::shape_inference::ShapeAndType; using tensorflow::shape_inference::ShapeHandle; const int num_inputs = input_shapes->num_items;
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configure.py
one from the check_success function. resolve_symlinks: (Bool) Translate symbolic links into the real filepath. n_ask_attempts: (Integer) Number of times to query for valid input before raising an error and quitting. Returns: [String] The value of var_name after querying for input. Raises: UserInputError: if a query has been attempted n_ask_attempts times without
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tensorflow/c/eager/c_api_experimental.h
#include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif // Resets `op_to_reset` with `op_or_function_name` and `raw_device_name`. This // is for performance optimization by reusing an exiting unused op rather than // creating a new op every time. If `raw_device_name` is `NULL` or empty, it // does not set the device name. If it's not `NULL`, then it attempts to parse
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tensorflow/c/eager/c_api_unified_experimental_internal.h
} }; // An abstract operation describes an operation by its type, name, and // attributes. It can be "executed" by the context with some input tensors. // It is allowed to reusing the same abstract operation for multiple execution // on a given context, with the same or different input tensors. class TracingOperation : public AbstractOperation { protected:
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RELEASE.md
next value for all replicas or none instead of raising an out of range error. Also see *new* [guide on input distribution](https://www.tensorflow.org/tutorials/distribute/input). * Allow var.assign on MirroredVariables with aggregation=NONE in replica context. Previously this would raise an error. We now allow this because many users and library writers find using `.assign` in replica context to be
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tensorflow/BUILD
"dynamic_loaded_kernels": "true", "framework_shared_object": "true", }, visibility = ["//visibility:public"], ) config_setting( name = "using_rocm_hipcc", define_values = {"using_rocm_hipcc": "true"}, ) config_setting( name = "override_eigen_strong_inline", define_values = {"override_eigen_strong_inline": "true"}, visibility = ["//visibility:public"],
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