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Sarkars/flib ngenc compute #529

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Sarkars/flib ngenc compute #529

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718f32f
Search for graph def in function library if not found
sayantan-nervana Apr 18, 2019
b3e57b0
Handle error (when gdef not found)
sayantan-nervana Apr 18, 2019
8015046
Fixing file path to pass ci
sayantan-nervana Apr 18, 2019
5af5bb9
Make symlinks to the pbtxts
sayantan-nervana Apr 18, 2019
0f9c6c4
Adding debug prints to see dir in ci
sayantan-nervana Apr 18, 2019
dd95ace
Copying to artifacts/test/python
sayantan-nervana Apr 18, 2019
fee79fe
WIP: check if graph is already processed
sayantan-nervana Apr 19, 2019
0b1598e
Merge branch 'master' into sarkars/flib_ngenc_compute
avijit-nervana Apr 19, 2019
4178724
Do not reprocess if already processed
sayantan-nervana Apr 19, 2019
a931716
Review comment
sayantan-nervana Apr 19, 2019
84047b2
Merge branch 'sarkars/flib_ngenc_compute' of https://github.com/Nerva…
sayantan-nervana Apr 19, 2019
354bc3e
Boolean flip
sayantan-nervana Apr 19, 2019
f404662
Making pbtxt graph default
sayantan-nervana Apr 19, 2019
d29966e
Pass pointer instead of unq ptr
sayantan-nervana Apr 19, 2019
91b88e6
Remove check from normal pass
sayantan-nervana Apr 19, 2019
ca6c165
Merge branch 'master' into sarkars/flib_ngenc_compute
avijit-nervana Apr 20, 2019
04c7a00
Change floor to flib
sayantan-nervana Apr 21, 2019
126eeb1
Minor change
sayantan-nervana Apr 21, 2019
aa0ef36
Merge branch 'sarkars/flib_ngenc_compute' of https://github.com/Nerva…
sayantan-nervana Apr 21, 2019
ca8af0a
Minor change
sayantan-nervana Apr 21, 2019
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Minor change
@sayantan-nervana
sayantan-nervana committed Apr 21, 2019

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commit ca8af0abe9287c76dcf2f0c75be1fd10e6a855b2
2 changes: 0 additions & 2 deletions test/python/test_flib.py
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Original file line number Diff line number Diff line change
@@ -68,8 +68,6 @@ def test_flib_1(self):
@pytest.mark.skip(reason="Not passing through grappler")
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@kanvi-nervana : I think this is a minimal repro of your squeeze-net issue

def test_flib_2(self):
graph = import_pbtxt('flib_graph_2.pbtxt')

graph = import_pbtxt('flib_graph_1.pbtxt')
with graph.as_default() as g:

x = get_tensor(g, "Variable_2/peek/_2:0")