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!2512 [quant]The top level add op prefix_name check error 

Merge pull request !2512 from vlne-v1/I1LJMR-quant-the-top-level-add-op-prefix_name-check-error
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mindspore-ci-bot 2020-06-24 09:42:29 +08:00 committed by Gitee
parent c22c865c4a dcd5773f64
commit 363a232cbc
3 changed files with 5 additions and 3 deletions
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4
mindspore/train/quant/quant.py
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@ -154,7 +154,9 @@ class ConvertToQuantNetwork:
per_channel=self.act_channel, per_channel=self.act_channel,
symmetric=self.act_symmetric, symmetric=self.act_symmetric,
narrow_range=self.act_range) narrow_range=self.act_range)
prefix = '.'.join([network.param_prefix, self._convert_op_name(prim_op.name)]) prefix = self._convert_op_name(prim_op.name)
if network.param_prefix:
prefix = '.'.join([network.param_prefix, self._convert_op_name(prim_op.name)])
add_quant.update_parameters_name(prefix + '.') add_quant.update_parameters_name(prefix + '.')
del network.__dict__[name] del network.__dict__[name]
network.insert_child_to_cell(name, add_quant) network.insert_child_to_cell(name, add_quant)

2
mindspore/train/quant/quant_utils.py
View File

@ -125,7 +125,7 @@ def scale_zp_from_fack_quant_cell(cell, data_type):
""" """
minq = cell.minq.data.asnumpy() minq = cell.minq.data.asnumpy()
maxq = cell.maxq.data.asnumpy() maxq = cell.maxq.data.asnumpy()
op = cell.fake_quant op = cell.fake_quant_infer
scale, zp = cal_quantization_params( scale, zp = cal_quantization_params(
minq, maxq, data_type, minq, maxq, data_type,

2
tests/ut/python/train/quant/test_quant.py
View File

@ -67,7 +67,7 @@ def test_qat_lenet():
img = Tensor(np.ones((32, 1, 32, 32)).astype(np.float32)) img = Tensor(np.ones((32, 1, 32, 32)).astype(np.float32))
net = LeNet5() net = LeNet5()
net = qat.convert_quant_network( net = qat.convert_quant_network(
net, quant_delay=0, bn_fold=False, freeze_bn=10000, num_bits=8) net, freeze_bn=10000, num_bits=8)
# should load the checkpoint. mock here # should load the checkpoint. mock here
for param in net.get_parameters(): for param in net.get_parameters():
param.init_data() param.init_data()