check_inner_dim

Verifies that the inner dimensions of two or three given <code>LazyTensor</code>
are the same.

internal

The 'KeOps' library lets you compute generic reductions of
very large arrays whose entries are given by a mathematical formula
with CPU and GPU computing support. It combines a tiled reduction
scheme with an automatic differentiation engine. It is perfectly
suited to the efficient computation of Kernel dot products and the
associated gradients, even when the full kernel matrix does not fit
into the GPU memory.

Ghislain Durif

rkeops

Kernel Operations on GPU or CPU, with Autodiff, without Memory
Overflows

Amelie Vernay

Chloe Serre-Combe

Benjamin Charlier

Jean Feydy

Joan A. Glaunès

François-David Collin

check_inner_dim function

<dl><dt>x</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code>.</dd>
<dt>y</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code>.</dd>
<dt>z</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code> (optional, default = NA).</dd>
<dt>check_type</dt>
<dd>A character string among "same" and "sameor1" (default),
to specify the desired type of inner dimension verification
(see @details section).</dd></dl>

Arguments

Author

Check inner dimensions for binary or ternary operations. — check_inner_dim

<dl>

<dt>x</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code>.</dd>


<dt>y</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code>.</dd>


<dt>z</dt>
<dd>A <code>LazyTensor</code> or a <code>ComplexLazyTensor</code> (optional, default = NA).</dd>


<dt>check_type</dt>
<dd>A character string among "same" and "sameor1" (default),
to specify the desired type of inner dimension verification
(see @details section).</dd>

</dl>

Check inner dimensions for binary or ternary operations.

check_inner_dim: Check inner dimensions for binary or ternary operations.

Description

Usage

Value

Arguments

Author

Details