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Results 1 - 2 of 2 for op_costs (0.28 sec)
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tensorflow/compiler/mlir/lite/flatbuffer_import.cc
const tflite::OperatorT& op, const std::vector<Value>& vals_map, const std::vector<mlir::TensorType>& intermediate_types, Value optional_arg_marker, const std::vector<std::unique_ptr<tflite::OperatorCodeT>>& op_codes, const std::vector<std::string>& func_names, const std::vector<std::unique_ptr<tflite::TensorT>>& tensors, Location loc, OpBuilder builder, const std::unique_ptr<tflite::FlatBufferModel>& model_ptr) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
// The resulting model should be: // reshape->dequantize->custom->custom->quantize->squeeze. ASSERT_THAT(subgraph->operators, SizeIs(6)); const std::vector<BuiltinOperator> op_codes = { BuiltinOperator_RESHAPE, BuiltinOperator_DEQUANTIZE, BuiltinOperator_CUSTOM, BuiltinOperator_CUSTOM, BuiltinOperator_QUANTIZE, BuiltinOperator_SQUEEZE};
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0)