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authorRuomei Yan <ruomei.yan@arm.com>2023-04-20 09:51:20 +0100
committerBenjamin Klimczak <benjamin.klimczak@arm.com>2023-10-11 15:44:51 +0100
commitf3e6597dd50ec70f043d692b773f2d9fd31519ae (patch)
tree322ccb75e0cc594c57308288cae333a72401979e /src/mlia/nn/rewrite/core/train.py
parent867f37d643e66c0223457c28f5345f2f21db97f2 (diff)
downloadmlia-f3e6597dd50ec70f043d692b773f2d9fd31519ae.tar.gz
Implement first rewrite (proof of concept)
* Define replacement function fully_connected layer * Define RewriteConfiguration and Rewriter to integrate rewrite module into mlia optimize command * Fix a bug in the ethos_u/data_collection.py file * Fix a bug in join.py * Remove diff_stats and use diff instead, added related changes around this to ensure e2e tests passing * Add unit tests for all changes * Fix bug in diff_stats function * The bug was caused by a dividing by numpy array of all zeros. The previous way of handling it did not consider the all zeros case but only dealt with partially zeros * unit tests added. * Fix the bug in rewrite/core/graph_edit/join.py * Remove the possibility of passing None to append_relabel function because it is immutable * The bug happened when empty dictionary was passed in the append_relabel function and the function overwrites the reference of operator_map which caused the dictionary was not updated after the function call Resolves: MLIA-749, MLIA-864, MLIA-866 Change-Id: I1ab426996232f182345e6e98033d5dcb32aea08c Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
Diffstat (limited to 'src/mlia/nn/rewrite/core/train.py')
-rw-r--r--src/mlia/nn/rewrite/core/train.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/src/mlia/nn/rewrite/core/train.py b/src/mlia/nn/rewrite/core/train.py
index f837964..c8497a4 100644
--- a/src/mlia/nn/rewrite/core/train.py
+++ b/src/mlia/nn/rewrite/core/train.py
@@ -33,6 +33,7 @@ from mlia.nn.rewrite.core.utils.utils import load
from mlia.nn.rewrite.core.utils.utils import save
from mlia.utils.logging import log_action
+
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)
logger = logging.getLogger(__name__)