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tensorflow/c/eager/c_api_experimental.h
// 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 // and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is. TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset,
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) -
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); // Creates a context for eager execution of operations.
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- Include code to invoke the TFLite Converter Python API and the errors. - Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` ### 3. Failure after conversion If the conversion is successful, but the generated model is wrong, then state what is wrong: - Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected.
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ci/official/README.md
# Ex. disk_cache -- Use a local cache # Ex. public_cache -- Use TF's public cache (read-only) # Ex. public_cache_push -- Use TF's public cache (read and write, Googlers only) # Ex. rbe -- Use RBE for faster builds (Googlers only; see below) # Ex. no_docker -- Disable docker on enabled platforms # See full examples below for more details on these. Some other modifiers are:
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tensorflow/api_template_v1.__init__.py
_CONTRIB_WARNING = """ The TensorFlow contrib module will not be included in TensorFlow 2.0. For more information, please see: * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md * https://github.com/tensorflow/addons * https://github.com/tensorflow/io (for I/O related ops) If you depend on functionality not listed there, please file an issue. """
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
InsertLocked(key, value); } // Delete the entry with key `key`. Return true if the entry was found for // `key`, false if the entry was not found. In both cases, there is no entry // with key `key` existed after the call. bool Delete(const std::string& key) { absl::MutexLock lock(&mu_); return DeleteLocked(key); } /// Look up the entry with key `key` and copy it to `value` if found. Returns
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tensorflow/c/c_test_util.cc
TF_SetAttrType(desc, "T", TF_INT32); // Set device to CPU since there is no version of split for int32 on GPU // TODO(iga): Convert all these helpers and tests to use floats because // they are usually available on GPUs. After doing this, remove TF_SetDevice // call in c_api_function_test.cc TF_SetDevice(desc, "/cpu:0"); *op = TF_FinishOperation(desc, s); ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s); ASSERT_NE(*op, nullptr);
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
// * increased security as plugins will not be able to alter function table // after loading up. Thus, malicious plugins can't alter functionality to // probe for gadgets inside core TensorFlow. We can even protect the area // of memory where the copies reside to not allow any more writes to it // after all copies are created. template <typename T>
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RELEASE.md
[`tf.debugging`](https://www.tensorflow.org/versions/master/api_docs/python/tf/debugging), [`tf.dtypes`](https://www.tensorflow.org/versions/master/api_docs/python/tf/dtypes), [`tf.image`](https://www.tensorflow.org/versions/master/api_docs/python/tf/image), [`tf.io`](https://www.tensorflow.org/versions/master/api_docs/python/tf/io), [`tf.linalg`](https://www.tensorflow.org/versions/master/api_docs/python/tf/linalg),
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AUTHORS
# This is the official list of TensorFlow authors for copyright purposes. # This file is distinct from the CONTRIBUTORS files. # See the latter for an explanation. # Names should be added to this file as: # Name or Organization <email address> # The email address is not required for organizations. Google Inc. Yuan Tang <******@****.***>
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