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DEPARTMENT OF INFORMATICS TECHNICAL UNIVERSITY OF MUNICHMasters Thesis in InformaticsCanonicalization of Loop free Tensor Networks David A. TellenbachDEPARTMENT OF INFORMATICS TECHNICAL UNIVERSITY

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How to fill out canonicalization of loop- tensor

01

Identify the loops that can be canonicalized in the tensor.

02

Determine the loop ordering to perform canonicalization.

03

Apply loop transformations such as loop interchange, loop fusion, and loop unrolling if needed.

04

Update the loop indices and bounds according to the new ordering.

05

Verify that the canonicalization has preserved the semantics of the tensor operations.

Who needs canonicalization of loop- tensor?

01

Developers working on optimizing tensor operations in deep learning frameworks.

02

Programmers looking to improve the performance of their numerical computations involving tensors.

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What is canonicalization of loop-tensor?

Canonicalization of loop-tensor is the process of standardizing and simplifying the representation of loop structures in tensor calculations.

Who is required to file canonicalization of loop-tensor?

Researchers, scientists, and engineers working in the field of tensor computations are required to file canonicalization of loop-tensor.

How to fill out canonicalization of loop-tensor?

To fill out canonicalization of loop-tensor, one needs to provide detailed information about the loop structures in tensor calculations and how they are being standardized and simplified.

What is the purpose of canonicalization of loop-tensor?

The purpose of canonicalization of loop-tensor is to enhance the efficiency and readability of tensor calculations by standardizing the representation of loop structures.

What information must be reported on canonicalization of loop-tensor?

The information that must be reported on canonicalization of loop-tensor includes details about the loop structures in tensor calculations, the standardization process used, and any simplifications made.

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