OpenCV Mat支持float16数据类型(CV_16F),支持ONNX float16模型只需将模型中的float16的tensor转换成OpenCV的float16 Mat即可。 但是,ONNX中float类型数据/tensor有两种保存方式:float32和raw_data。在将float32模型转换为float16模型时,对于以float32保存的数据,ONNX会先把其从float32转换到float16,然后存入int32的...
但是,ONNX中float类型数据/tensor有两种保存方式:float32和raw_data。在将float32模型转换为float16模型时,对于以float32保存的数据,ONNX会先把其从float32转换到float16,然后存入int32的低16位中,把高16位置0;对于以raw_data保存的数据,ONNX则在将其从float32转换为float16后,存为string类型的比特流。也就是...
具体实现在于float16.py,截断的逻辑: 小于最小精度(默认1e-7)映射为最小精度 大于最大范围(默认1e4)映射为最大值 NaN/0/inf/-inf保持原值 核心代码: def convert_np_to_float16(np_array, min_positive_val=1e-7, max_finite_val=1e4): def between(a, b, c): return np.logical_and(a < ...
def convert_np_to_float16(np_array, min_positive_val=1e-7, max_finite_val=1e4): def between(a, b, c): return np.logical_and(a < b, b < c) np_array = np.where(between(0, np_array, min_positive_val), min_positive_val, np_array) np_array = np.where(between(-min_posit...
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_float::halfinhttp://half.sourceforge.net/toONNX_TENSOR_ELEMENT_DATA_TYPE_...
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FLOAT, (h,))) #type: ignore if input_ not in graph.blob_to_op_type: graph.blob_to_op_type[input_] = ['LSTM'] for output_ in [str(output_h), str(output_c)]: if output_ not in output_names: graph.outputs.append(tuple((output_, TensorProto.FLOAT, (h,))) #type: ignore...
本文首发于个人博客[链接],欢迎阅读最新内容! tensorrt fp32 fp16 tutorial with caffe pytorch minist model Series Part 1: install and configure tenso...
std::cout <<"platformHasFastInt8: "<< useInt8 <<"\n";// create a 16-bit model if it's natively supportedDataType modelDataType = useFp16 ? DataType::kHALF : DataType::kFLOAT;constIBlobNameToTensor* blobNameToTensor = parser->parse(deployFilepath.c_str(), ...
case ONNXIFI_DATATYPE_FLOAT16: multiplier = sizeof(float) / 2; break; case ONNXIFI_DATATYPE_FLOAT32: multiplier = sizeof(float); break; case ONNXIFI_DATATYPE_INT8: multiplier = sizeof(int8_t); break; case ONNXIFI_DATATYPE_INT16: multiplier = sizeof(int16_t); break; ...