Implemented 1D conv, refactored pooling, 1D and special case for adap…

[borisfom]

…tive pooling

Signed-off-by: Boris Fomitchev bfomitchev@nvidia.com

Description

Added support for 1d convolutions.
Also:
Fixed 1d case for batch normalization
Included a fix for prim::ListConstruct when arg is a Tuple (apparently valid use case)
Refactored pooling
1D pooling and special case for adaptive pooling -> global pooling

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• New feature (non-breaking change which adds functionality)

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes

[narendasan]

Think everything looks almost ready to go. It seems like you are still returning nullptr for the padding helper though you intended to pass through the original tensor. Also changing some of the error checking macros to ones that would be more relevant for what is being done

[narendasan]

LGTM!