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tensorflow/c/eager/tape.h
// targets (not all since targets which have outputs in the tape will not have // gradients available initially). // // Then we repeatedly pop an entry from the stack, run its backprop, and update // the gradients of its inputs. Once we have computed all gradients for a single // input we can mark this input as done, and this can trigger adding an entry to // the stack if all outputs of that entry are now done. //
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tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_OpAddAttrs(TFE_Op* op, const TFE_OpAttrs* attrs); // Serialize `attrs` as a tensorflow::NameAttrList protocol buffer (into `buf`), // containing the op name and a map of its attributes. TF_CAPI_EXPORT extern void TFE_OpAttrsSerialize(const TFE_OpAttrs* attrs, TF_Buffer* buf, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
CONTRIBUTING.md
using a job called "copybara". **5. Copy to Google Internal codebase and run internal CI** - Once the PR is in the Google codebase, we make sure it integrates well with its dependencies and the rest of the system. - Rarely, If the tests fail at this stage, we cannot merge the code. - If needed, we may come to you to make some changes. At times, it may not be
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RELEASE.md
configure a `work_dir` when running your dispatcher server and set `dispatcher_fault_tolerance=True`. The dispatcher will store its state to `work_dir`, so that on restart it can continue from its previous state after restart. * Adds support for sharing dataset graphs via shared filesystem instead of over RPC. This reduces load on the dispatcher, improving performance of
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tensorflow/BUILD
# dlopen() on Linux), the library finds libtensorflow_framework.so (no # filesystem search takes place, since libtensorflow_framework.so has already # been loaded by pywrap_tensorflow) and registers its ops and kernels via # REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from # libtensorflow_framework.so), and pywrap_tensorflow can then use these
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configure.py
"""Loop over user prompts for an ENV param until receiving a valid response. For the env param var_name, read from the environment or verify user input until receiving valid input. When done, set var_name in the environ_cp to its new value. Args: environ_cp: (Dict) copy of the os.environ. var_name: (String) string for name of environment variable, e.g. "TF_MYVAR". var_default: (String) default value string.
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
.bazelrc
# Enable the runfiles symlink tree on Windows. This makes it possible to build # the pip package on Windows without an intermediate data-file archive, as the # build_pip_package script in its current form (as of Aug 2023) uses the # runfiles symlink tree to decide what to put into the Python wheel. startup --windows_enable_symlinks build:windows --enable_runfiles # Default paths for TF_SYSTEM_LIBS
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
// finished, if any. // // `cancellation_manager` must live until after `Join` finishes and pending // `is_async` operations finish. In addition to allowing the caller to cancel // the operation, its `StartCancel` method will be called if op execution // fails on any device in order to cancel the others. void StartExecute(TFE_Context* context, const char* operation_name,
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