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fix doc.

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This commit is contained in:
Kuang Fangjun
2018-06-03 07:21:08 +08:00
parent 40a61ec64e
commit 9ae28415ec
25 changed files with 61 additions and 61 deletions
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modules/dnn/misc/quantize_face_detector.py
+2 -2
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@@ -223,9 +223,9 @@ with tf.Session() as sess:
# By default, float16 weights are stored in repeated tensor's field called
# `half_val`. It has type int32 with leading zeros for unused bytes.
# This type is encoded by Varint that means only 7 bits are used for value
# This type is encoded by Variant that means only 7 bits are used for value
# representation but the last one is indicated the end of encoding. This way
# float16 might takes 1 or 2 or 3 bytes depends on value. To impove compression,
# float16 might takes 1 or 2 or 3 bytes depends on value. To improve compression,
# we replace all `half_val` values to `tensor_content` using only 2 bytes for everyone.
for node in graph_def.node:
if 'value' in node.attr: