通过output_tensor.data可以访问数据部分,将其转换为numpy数组后,便于进一步处理。 同步与异步推理:无论是同步推理(infer())还是异步推理(start_async()和wait()),get_output_tensor()都可以使用。在异步推理中,确保推理完成后再调用get_output_tensor(),否则可能会导致数据不完整或错误。 5. 注意事项 数据读取:...
GetOutputTensor(uint32_t, IMLOperatorTensor**)获取指定索引处运算符的输出张量。 GetOutputTensor(uint32_t, uint32_t, const uint32_t*, IMLOperatorTensor**)获取指定索引处运算符的输出张量,同时声明其形状。 GetOutputTensor(uint32_t, IMLOperatorTensor**) ...
To Reproduce Here is a simple reproduction, I just make a request to a simple ONNX graph. Iprintif the output tensor is on GPU or CPU importtriton_python_backend_utilsaspb_utilsimportjsonimportasyncioclassTritonPythonModel:definitialize(self,args):self.model_config=json.loads(args['model_config...
瞭解IMLOperatorTensorShapeDescription.GetOutputTensorShape 方法。 這個方法會取得運算符的張量輸出維度的大小。
GetOutputTensorDimensionCount( uint32_t outputIndex, _Out_ uint32_t* dimensionCount) 要求 展开表 要求 支持的最低客户端 Windows 10 版本 17763 支持的最低服务器 具有桌面体验的 Windows Server 2019 页眉 MLOperatorAuthor.h 备注 使用以下资源获取有关 Windows ML 的帮助: 若要询...
(interpreter); const TfLiteTensor* output_tensor = TfLiteInterpreterGetOutputTensor(interpreter, 14); float output[49]; TfLiteTensorCopyToBuffer(output_tensor, output, 49 * sizeof(float)); printf("Output: \n\n"); for (int j = 0; j < 49; j++) { printf("%d: %f\n", j, output...
int DP_DeepTensorGetOutputDim(DP_DeepTensor *dt) Get the output dimension of a Deep Tensor. Parameters: dt –[in] The Deep Tensor to use. Returns: The output dimension of the Deep Tensor. previous Function DP_DeepTensorGetNumbTypes next Function DP_DeepTensorGetSelTypesContents...
I use onnx interface to deploy my network by onnxruntime and tensorrt. But I found the output tensor order of onnxruntime matched with torch.export.onnx order and the output tensor order of tensorrt mismatched with it. for example torch.export.onnx as ...
Use ov::InferRequest::get_output_tensor method with argument (index: int) for model that has more than one output. output1 = infer_request.get_output_tensor(0) output2 = infer_request.get_output_tensor(1) output3 = infer_request.get_output_tensor(2) Use the data attribute of the...