GetRequiredInputTensorRange
Description
Obtains the pointer to a required input tensor range based on the input index in the operator prototype definition.
Prototype
const TensorRange *GetRequiredInputTensorRange(const size_t ir_index) const
Parameters
Parameter |
Input/Output |
Description |
|---|---|---|
ir_index |
Input |
Index of the required input in the operator IR prototype definition, starting from 0. |
Returns
Pointer to the TensorRange type. The definition is as follows:
using TensorRange = Range<Tensor>;
If ir_index is invalid, a null pointer is returned.
Restrictions
If the input is not set to data dependency, when this API is called to obtain a tensor range, only the correct shape, format, and datatype information can be obtained from the tensor, and the actual tensor data address (the obtained address is nullptr) cannot be obtained.
Example
const auto infer_shape_range_func = [](gert::InferShapeRangeContext *context) -> graphStatus {
auto input_shape_range = context->GetRequiredInputTensorRange(0U);
auto output_shape_range = context->GetOutputShapeRange(0U);
*output_shape_range-->GetMin() = input_shape_range->GetMin()->GetStorageShape();
*output_shape_range-->GetMax() = input_shape_range->GetMax()->GetStorageShape();
return GRAPH_SUCCESS;
};
Parent topic: InferShapeRangeContext