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tensorflow/c/c_api_function.cc
#include "tensorflow/core/util/debug_data_dumper.h" using tensorflow::errors::InvalidArgument; namespace tensorflow { namespace { Status ValidateNonRefOutput(const Node* node, int idx) { const DataType& dt = node->output_type(idx); return IsRefType(dt) ? InvalidArgument("Output ", idx, " of node '", node->name(), "' has a reference type ", DataTypeString(dt)) : absl::OkStatus(); }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/c_api.cc
int TF_OperationNumOutputs(TF_Operation* oper) { return oper->node.num_outputs(); } TF_DataType TF_OperationOutputType(TF_Output oper_out) { return static_cast<TF_DataType>( oper_out.oper->node.output_type(oper_out.index)); } int TF_OperationOutputListLength(TF_Operation* oper, const char* arg_name, TF_Status* status) { NameRangeMap name_ranges; status->status =
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
RELEASE.md
`tf.keras.mixed_precision.LossScaleOptimizer` ### `tf.lite`: * `TFLiteConverter`: * Support optional flags `inference_input_type` and `inference_output_type` for full integer quantized models. This allows users to modify the model input and output type to integer types (`tf.int8`, `tf.uint8`) instead of defaulting to float type (`tf.float32`).
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Apr 03 20:27:38 GMT 2024 - 727.4K bytes - Viewed (8)