Feature: einsum

Open

#156 opened on Aug 12, 2017 1 comment 2 reactions 0 assignees View on GitHub

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Assessment

Difficulty: 5/5
Estimated time: Over a week
Newbie friendliness: 20/100

Issue type: Feature
Clarity: Needs clarification
Activity status: Stale
Tech stack: numpy, python
Domain: hpc

Research direction

The issue names no repository files, tests, or entry points; begin by locating the Python binding's array-operation API and reviewing how OpenCL and CUDA operations are exposed. Compare the requested NumPy einsum behavior and example with existing capabilities, then define supported cases and tests before implementation.

Written by the indexing model from the issue text.

Description

Good day!
Could you please Implement something like numpy.einsum (for OpenCL and CUDA)?

In particular, I'm interested in row/column-wise outer product, like this, but einsum is very universal and useful thing...

A = np.random.randint(1,7, size=(3,2))
B = np.random.randint(1,7, size=(2,3))
X = np.einsum('ik,kj->kij', A,B)
X
array([[[ 8, 16, 12],
        [ 8, 16, 12],
        [ 4,  8,  6]],

       [[15,  3, 12],
        [ 5,  1,  4],
        [ 5,  1,  4]]])

Dominant language: Python
Stars: 422
Forks: 63
PR merge metrics: No merged PRs in 30d

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