create_execution_plan

This implements <code>_reconstruct_from_shape_uncached</code> from the python
implementation of einops. In the future, a cached version may be
implemented.

internal

Perform tensor operations using a concise yet expressive syntax inspired by the Python library of the same name.
Reshape, rearrange, and combine multidimensional arrays for scientific computing, machine learning, and data analysis.
Einops simplifies complex manipulations, making code more maintainable and intuitive.
The original implementation is demonstrated in Rogozhnikov (2022) <https://openreview.net/forum?id=oapKSVM2bcj>.

Qile Yang

einops

Flexible, Powerful, and Readable Tensor Operations

create_execution_plan function

<dl><dt>recipe</dt>
<dd>a populated <code>TransformRecipe()</code> object</dd>
<dt>shape</dt>
<dd>A vector of integers representing the shape of the tensor.</dd>
<dt>axes_dims</dt>
<dd>A named list of axes names to their dimensions/lengths.
May also be an empty list.</dd></dl>

Arguments

Reconstruct all actual parameters using shape. — create_execution_plan

<dl>

<dt>recipe</dt>
<dd>a populated <code>TransformRecipe()</code> object</dd>


<dt>shape</dt>
<dd>A vector of integers representing the shape of the tensor.</dd>


<dt>axes_dims</dt>
<dd>A named list of axes names to their dimensions/lengths.
May also be an empty list.</dd>

</dl>

create_execution_plan: Reconstruct all actual parameters using shape.

Description

Usage

Value

Arguments