GetModelIOTensorDim UnLoadModel SetModelPriority Cancel 模型编译类 BuildModel ReadBinaryProto(const string path) ReadBinaryProto(void* data, uint32_t size) InputMemBufferCreate(void* data, uint32_t size) InputMemBufferCreate(const string path) OutputMemBufferCreate MemBufferDestroy ...
If you are working with ONNX models, it is important to know how to retrieve the input and output shapes of the model. Using this information, you can prepare input data and process your model's outputs. This tutorial shows how to get the model input and output shapes using ONNX Run...
用户推断# 返回的值也是张量,说明里面是Output tensor(s),说明也有可能返回多个张量predictions=model(x_train,training=True)# Accumulates statistics and then computes metric result value# 累计统计信息,计算指标值,但是根据后面的逻辑,这里应该是获取实例,后面才是进行计算loss=loss_object(y_train,predictions)# ...
# 需要导入模块: import preprocessing [as 别名]# 或者: from preprocessing importget_input_tensors[as 别名]defvalidate(*tf_records):"""Validate a model's performance on a set of holdout data."""ifFLAGS.use_tpu:def_input_fn(params):returnpreprocessing.get_tpu_input_tensors( params['train_...
: tensor_info.GetShape()[j]; dims.emplace_back(dim); } output_dims.emplace_back(dims); } std::vector<Ort::Value> ort_inputs; for (auto i = 0; i < input_dims.size(); i++) { int count = 1; for (auto j = 0; j < input_dims[i].size(); j++) { ...
This function will allocate memory for your input and output tensors. Next, remember to process your input before feeding it into the model. The model expects the input in a specific format, often normalized and reshaped to fit the input tensor dimensions. Use the set_tensor() function to ...
IMLOperatorShapeInferenceContext.GetInputTensorShape 方法 项目 2024/03/14 4 个参与者 反馈 获取运算符输入张量的维度大小。 如果指定索引处的输入不是张量,则返回错误。 C++ 复制 void GetInputTensorShape( uint32_t inputIndex, uint32_t dimensionCount, _Out_writes_(dimensionCount) ...
GetModelIOTensorDim UnLoadModel SetModelPriority Cancel 模型编译类 BuildModel ReadBinaryProto(const string path) ReadBinaryProto(void* data, uint32_t size) InputMemBufferCreate(void* data, uint32_t size) InputMemBufferCreate(const string path) OutputMemBufferCreate MemBufferDestroy ...
// free input tensors for reuse inQueueX.FreeTensor(xLocal); } CopyOut函数 负责从Queue中将数据取出,并将数据从Local Memory拷贝到Global Memory。 __aicore__ inline void CopyOut(int32_t progress) { // deque output tensor from VECOUT queue ...
input, out_type=tf.dtypes.int32, name=None ) Where parameters are: input:This parameter indicates the input tensor whose shape you want to know out_type= By default, it takestf.dtypes.int32value. This is an optional parameter and defines the output type. ...