I first tried to useuint16_t, but obviously it did not matchfloat16datatype specified for inputs. There is no mapping fromONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16to native C type, and even when I tried mappinghalf_
X = helper.make_tensor_value_info('X', TensorProto.FLOAT, [3,2]) pads = helper.make_tensor_value_info('pads', TensorProto.FLOAT, [1,4]) value = helper.make_tensor_value_info('value', AttributeProto.FLOAT, [1]) # Create one output (ValueInfoProto) Y = helper.make_tensor_value_...
注意:在onnx和tensorrt中anchor作为常量是以float32精度保存的,因此会出现稍微的偏差,但这个偏差基本不会影响输出的精度 3. 解决方案 虽然已经定位到是tensorrt中anchor对应的常量出现缺失导致的错误,但目前不清楚为什么会出现数值缺失错误? 但在yolov5 5.0的程序中onnx转换tensorrt后输出的结果是正确的,因此这里的解决...
device_type='cuda', device_id=0, element_type=np.float32, shape=tuple(x_tensor.shape), buffer_ptr=x_tensor.data_ptr(), ) # 让输出直接输出在一个 torch tensor 上 np_type = np.float32 DEVICE_NAME = 'cuda' if torch.cuda.is_available() else 'cpu' DEVICE_INDEX = 0 # Replace this...
ov::Tensorinput_tensor(input_port.get_element_type(), input_port.get_shape(), memory_ptr); // 为模型设置一个输入张量 infer_request.set_input_tensor(input_tensor); // 5.开始推理 infer_request.start_async(); infer_request.wait(...
Type Constraints T : tensor(float16), tensor(float), tensor(double) Constrain input and output types to float tensors. Examples acos Acosh Calculates the hyperbolic arccosine of the given input tensor element-wise. Version This version of the operator has been available since version 9 of the...
();// 从外部存储器创建张量ov::Tensor input_tensor(input_port.get_element_type(), input_port.get_shape(), memory_ptr);// 为模型设置一个输入张量infer_request.set_input_tensor(input_tensor);// 5.开始推理infer_request.start_async();infer_request.wait();// 6.处理推理结果// 通过tensor_...
ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64, // maps to c type int64_t ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING, // maps to c++ type std::string ONNX_TENSOR_ELEMENT_DATA_TYPE_BOOL, ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16, ONNX_TENSOR_ELEMENT_DATA_TYPE_DOUBLE, // maps to ...
::ONNX_TENSOR_ELEMENT_DATA_TYPE_STRING => { WithOutputTensor::try_fromvalue).map(OrtString) } sys::ONNXTensorElementDataType::ONNX_TENSOR_ELEMENT_DATA_TYPEBOOL => { unimplemented!() } sys:ONNXTensorElementData:ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT16 => { unimplemented!()...
data(), dimensions.size()); float* out = ort_.GetTensorMutableData<float>(output); OrtTensorTypeAndShapeInfo* output_info = ort_.GetTensorTypeAndShape(output); int64_t size = ort_.GetTensorShapeElementCount(output_info); ort_.ReleaseTensorTypeAndShapeInfo(output_info); // Do ...