- Sort Score
- Num 10 results
- Language All
Results 1 - 2 of 2 for input_dtypes (0.07 seconds)
-
tensorflow/c/eager/gradients.cc
const string& op_name) { std::vector<int64_t> input_ids(inputs.size()); std::vector<tensorflow::DataType> input_dtypes(inputs.size()); for (int i = 0; i < inputs.size(); i++) { input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) {
Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Tue Feb 24 06:18:31 GMT 2026 - 19.6K bytes - Click Count (0) -
fastapi/_compat/v2.py
for model in flat_serialization_models ] flat_model_fields = flat_validation_model_fields + flat_serialization_model_fields input_types = {f.field_info.annotation for f in fields} unique_flat_model_fields = { f for f in flat_model_fields if f.field_info.annotation not in input_types } inputs = [ ( field, ( field.modeCreated: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Sun Mar 15 11:44:39 GMT 2026 - 16.7K bytes - Click Count (0)