ZhennanQin commented on a change in pull request #13697: [MKLDNN] Enable signed
int8 support for convolution.
URL: https://github.com/apache/incubator-mxnet/pull/13697#discussion_r244667556
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File path: example/quantization/imagenet_gen_qsym_mkldnn.py
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@@ -240,16 +235,13 @@ def save_params(fname, arg_params, aux_params,
logger=None):
elif args.model == 'inceptionv3':
rgb_mean = '123.68,116.779,103.939'
rgb_std = '58.393, 57.12, 57.375'
- calib_layer = lambda name: name.endswith('_output')
- excluded_sym_names += ['inception30_dense0_fwd',
- 'inception30_pool0_fwd']
+ excluded_sym_names += ['inception30_dense0_fwd']
if exclude_first_conv:
excluded_sym_names += ['inception30_conv0_fwd']
elif args.model == 'custom':
# add rgb mean/std of your model.
rgb_mean = '0,0,0'
rgb_std = '0,0,0'
- calib_layer = lambda name: name.endswith('_output')
# add layer names you donnot want to quantize.
# add conv/pool layer names that has negative inputs
Review comment:
Updated.
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