fix typo

enhance error message

rearrange import statements

swap checking order

fix typo

add no result checking

enhance error message

breakdown verfiy_data()

fix comments typo and add set_train(False)

From: @ngtony
Reviewed-by: 
Signed-off-by:

fix pylint issues

deepcopy model inside uncertatiny instance

update summary.proto for hoc and uncertainty

update summary.proto tab to spaces

enhance code by review comments

fix comment format

add uncertainty and saliency cross registration checking.

check registered with is none

group constants togather, enhance runner data checking

update copyright year

enhance comment wordings

From: @lixiaohui33
Reviewed-by: @ouwenchang
Signed-off-by:

From: @ouwenchang
Reviewed-by: 
Signed-off-by:

1. Support explainer raise an RuntimeError exception
2. fix the ut of SummaryRecord

From: @lixiaohui33
Reviewed-by: @wuxuejian,@jonyguo,@lilongfei15
Signed-off-by: @lilongfei15

From: @ngtony
Reviewed-by: @jonyguo,@ouwenchang
Signed-off-by: @ouwenchang

Recursively create sub dirs

Optimize heatmap saving

better coding format

fix typo

add os.chmod() to make sure

forgot to append the image filename to the returned path

use realpath() instead of abspath()

From: @ngtony
Reviewed-by: 
Signed-off-by:

fix pylint problem

fix review comments

fix review comments

enhance register_saliency() checking

fix error type

fix dataset class checking

fix dataset class checking

fix dataset class checking

fix fd open mode

better naming

better naming

fix review comments

fix review comments

fix review comments

fix duplicated benchmarker classes checking

fix comment format

fix comments

From: @lixiaohui33
Reviewed-by: @wuxuejian,@ouwenchang
Signed-off-by: @ouwenchang

bugfix

undo unexecpted changes

modify summary format

bugfix

fix CI problem

enhance comment

fix comment typo

use mindspore.log for errors

fix pylint issues

This commit provides APIs for user to use the widely used attribution methods to explain DL models and the evaluation methods to quantify the explanations. With combination of MindInsight, the user can have a friendly visualization on their models.