Tensor Yes MindSpore The storage component of the data.

The correct answer is A. TRUE. A is correct because in MindSpore (Huawei's deep learning framework), a Tensor is the fundamental data storage component - it is a multi-dimensional array that holds all numerical data (inputs, weights, activations, gradients) used during model training and inference, analogous…

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Question

Options

ATRUE
BFALSE

How the community answered

(41 responses)

A
78% (32)
B
22% (9)

Explanation

A is correct because in MindSpore (Huawei's deep learning framework), a Tensor is the fundamental data storage component - it is a multi-dimensional array that holds all numerical data (inputs, weights, activations, gradients) used during model training and inference, analogous to ndarray in NumPy or Tensor in PyTorch/TensorFlow.

B is incorrect because there is no alternative storage primitive in MindSpore that replaces the Tensor; all data flowing through the computational graph is represented and stored as Tensors.

Memory tip: Think of "Tensor" as the universal container in any modern AI framework - if you can remember that PyTorch and TensorFlow both use Tensors as their core data structure, the same rule applies to MindSpore. The name itself hints at the purpose: Tensor = data storage + shape + dtype.

Topics

#Tensor#MindSpore#Data Storage#Framework Components

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