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CONTRIBUTING.md
``` TensorFlow kernels and TensorFlow's dependencies are still not built with debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the
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ci/official/utilities/setup.sh
# specifically. Use your best judgment to keep the scripts in this directory # lean and easy to follow. When in doubt, remember that for CI scripts, "keep it # simple" is MUCH more important than "don't repeat yourself." # -e: abort script if one command fails # -u: error if undefined variable used # -x: log all commands # -o pipefail: entire command fails if pipe fails. watch out for yes | ...
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tensorflow/c/eager/parallel_device/parallel_device_testlib.h
#include "tensorflow/c/eager/parallel_device/parallel_device_lib.h" #include "tensorflow/core/platform/test.h" namespace tensorflow { namespace parallel_device { // A helper for performing common operations on variables. A much more // restricted stand-in for tf.Variable in Python. class Variable { public: // Construct a Variable from a resource-dtype TFE_TensorHandle and an // indication of the dtype of the variable's value. //
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CODE_OF_CONDUCT.md
advances. * Trolling, insulting/derogatory comments, and personal or political attacks. * Public or private harassment. * Publishing others' private information, such as a physical or electronic address, without explicit permission. * Conduct which could reasonably be considered inappropriate for the forum in which it occurs.
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tensorflow/c/eager/abstract_operation.h
// chosen for the operation by the device placement logic in the // executor. After that, the value returned by DeviceName will be a full // device name such as "/job:localhost/replica:0/task:0/device:GPU:1". virtual const string& DeviceName() const = 0; // Sets the operation device name. // // The given `name` must be parseable by DeviceNameUtils::ParseFullName, and
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tensorflow/c/eager/c_api.h
// A handle to a tensor on a device. // // Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape, // type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors // placed in the memory of different devices or remote address spaces. typedef struct TFE_TensorHandle TFE_TensorHandle; TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandle(const TF_Tensor* t,
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tensorflow/c/eager/c_api_unified_experimental.h
// here. void TF_SetTracingImplementation(const char* name, TF_Status*); // Creates a new TensorFlow function. A Function is an execution context, and as // such it can trace operations through TF_ExecuteOperation. After completing // tracing, a function can be obtained by TF_FinalizeFunction. TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* status);
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tensorflow/c/c_api.cc
return; } // We have a convoluted scheme here: Using the C++ graph construction API // to add potentially many nodes to the graph without running the checks // (such as uniqueness of the names of nodes) we run with other functions // that add a node to the graph (like TF_FinishOperation). if (!g->name_map.insert(std::make_pair(n->name(), n)).second) {
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ci/official/README.md
# your builds. This usually saves a lot of time, especially when # re-running tests. However, note that: # # - New environments like new CUDA versions, changes to manylinux, # compilers, etc. can cause undefined behavior such as build failures # or tests passing incorrectly. # - Automatic LLVM updates are known to extend build time even with # the cache; this is unavoidable. export TFCI=py311,linux_x86,public_cache,disk_cache
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tensorflow/c/eager/c_api_experimental.h
int64_t init_timeout_in_ms, TF_Status* status, bool clear_existing_contexts); // Set server def with retries and timeout. This is helpful for fault-tolerant // initial connection in high-preemption environments, such as // ParameterServerStrategy training. // This API is for experimental usage and may be subject to change. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeoutAndRetries(
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