- Sort Score
- Result 10 results
- Languages All
Results 1 - 5 of 5 for do (0.17 sec)
-
tensorflow/c/c_api_test.cc
// That will require setting up the tensorflow build with gmock. #define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \ expected_total_size) \ do { \ auto m = TF_OperationGetAttrMetadata(oper, attr_name, s_); \ EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_); \
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
.bazelrc
build:macos --define=PREFIX=/usr build:macos --define=LIBDIR=$(PREFIX)/lib build:macos --define=INCLUDEDIR=$(PREFIX)/include build:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include # TF_SYSTEM_LIBS do not work on windows. # By default, build TF in C++ 17 mode. build:android --cxxopt=-std=c++17 build:android --host_cxxopt=-std=c++17 build:ios --cxxopt=-std=c++17 build:ios --host_cxxopt=-std=c++17
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
configure.py
scripting error, and will continue to provide invalid input. Raise the error to avoid infinitely looping. """ if not question: question = 'Do you wish to build TensorFlow with {} support?'.format( query_item) if not yes_reply: yes_reply = '{} support will be enabled for TensorFlow.'.format(query_item) if not no_reply:
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) -
RELEASE.md
do not touch any resources. * `tf.cond`, `tf.while` and `if` and `while` in AutoGraph now accept a nonscalar predicate if has a single element. This does not affect non-V2 control flow. * `tf.while_loop` emits a StatelessWhile op if the cond and body functions are stateless and do not touch any resources.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/c_api_function.cc
std::vector<const Node*> control_output_nodes; control_output_nodes.reserve(ncontrol_outputs); for (int i = 0; i < ncontrol_outputs; ++i) { control_output_nodes.push_back(&control_outputs[i]->node); } // Do the actual function creation. DCHECK(append_hash_to_fn_name <= 1); tensorflow::FunctionDef fdef; status->status = tensorflow::GraphToFunctionDef( fn_body->graph, fn_name, append_hash_to_fn_name != 0,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)