Summary:
Use new test utils in converter_nomnigraph_test , and add utils to set device option name, external inputs, outputs.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15751
Differential Revision: D13586228
Pulled By: duc0
fbshipit-source-id: ff809dd7bf9f30641ce2a6fef7e2810f005521c2
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15022
Add setArgument testing utils to make it easy to set argument for an operator
Reviewed By: yinghai
Differential Revision: D13405225
fbshipit-source-id: b5c1859c6819d53c1a44718e2868e3137067df36
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15020
Add test utils for assertion of a tensor (sizes and values)
Reviewed By: salexspb
Differential Revision: D13401146
fbshipit-source-id: bc385df074043e03ea884940b5631b96de4a607e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15180
Test utils to create an operator
On top of D13370461
Reviewed By: ZolotukhinM
Differential Revision: D13382773
fbshipit-source-id: a88040ed5a60f31d3e73f1f958219cd7338dc52e
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15014
Currently it looks like many of the simple operations such as comparing tensors, creating tensors, fetching tensors... are too verbose and took effort to write correctly in unit tests.
Easy to use utilities are often more important to increase productivity writing unit tests. While caffe2 python unit tests are relatively easier to write at the moment, the C++ side seems lacking.
In this change I create a test_util, started with assertsTensorEquals, getTensor, createTensor, and we can start putting more easy to use utilities there.
Reviewed By: salexspb
Differential Revision: D13370461
fbshipit-source-id: bee467a127e1d032ef19482f98aa5c776cf508c0
