- Sort Score
- Result 10 results
- Languages All
Results 11 - 15 of 15 for do (0.17 sec)
-
.github/workflows/update-rbe.yml
on: workflow_dispatch: permissions: contents: read jobs: rbe: name: Update RBE Configs runs-on: ubuntu-latest if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks steps: - name: Checkout code uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Update the RBE Configs run: | function map() {
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Apr 10 15:40:34 GMT 2024 - 7.2K bytes - Viewed (0) -
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/eager/c_api.cc
return nullptr; } std::vector<int64_t> dimvec(num_dims); for (int i = 0; i < num_dims; ++i) { dimvec[i] = static_cast<int64_t>(dims[i]); } // TODO(apassos) do we need to wrap the deallocator here to make sure to sync // the device? TF_ManagedBuffer* buf = new TF_ManagedBuffer(data, len, deallocator, deallocator_arg, /*owns_memory=*/false);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
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)