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Respected sir,
I am getting the following error while using your code.
**depth = 20
base_model = 'inception_resnet_v2'
Choose what attention_module to use: cbam_block / se_block / None
attention_module = 'cbam_block'
model_type = base_model if attention_module=='cbam_block' else base_model+'_'+attention_module
model = InceptionResNetV2(input_shape=(299,299,3), classes=num_classes, attention_module=attention_module)
AttributeError Traceback (most recent call last)
Input In [7], in <cell line: 7>()
----> 7 model = InceptionResNetV2(input_shape=(299,299,3), classes=num_classes, attention_module=attention_module)
Input In [3], in InceptionResNetV2(include_top, weights, input_tensor, input_shape, pooling, classes, attention_module)
144 x = Concatenate(axis=channel_axis, name='mixed_5b')(branches)
146 # squeeze and excite block
--> 147 x = se_block(x)
149 # 10x block35 (Inception-ResNet-A block): 35 x 35 x 320
150 for block_idx in range(1, 11):
AttributeError: 'KerasTensor' object has no attribute '_keras_shape'
I am using jupyter command prompt in anaconda. my python version is 3.6, tensorflow =2.2.0, keras=2.3.1
while using tensorflow =1.13.1 keras=2.2.0 in colab the code is running. but in jupyter the same version and the above version is not running.
so kindly guide me to fix the issues as soon as possible
The text was updated successfully, but these errors were encountered:
Respected sir,
I am getting the following error while using your code.
**depth = 20
base_model = 'inception_resnet_v2'
Choose what attention_module to use: cbam_block / se_block / None
attention_module = 'cbam_block'
model_type = base_model if attention_module=='cbam_block' else base_model+'_'+attention_module
model = InceptionResNetV2(input_shape=(299,299,3), classes=num_classes, attention_module=attention_module)
AttributeError Traceback (most recent call last)
Input In [7], in <cell line: 7>()
----> 7 model = InceptionResNetV2(input_shape=(299,299,3), classes=num_classes, attention_module=attention_module)
Input In [3], in InceptionResNetV2(include_top, weights, input_tensor, input_shape, pooling, classes, attention_module)
144 x = Concatenate(axis=channel_axis, name='mixed_5b')(branches)
146 # squeeze and excite block
--> 147 x = se_block(x)
149 # 10x block35 (Inception-ResNet-A block): 35 x 35 x 320
150 for block_idx in range(1, 11):
Input In [1], in se_block(input_feature, ratio)
15 def se_block(input_feature, ratio=8):
18 channel_axis = 1 if K.image_data_format() == "channels_first" else -1
---> 19 channel = input_feature._keras_shape[channel_axis]
21 se_feature = GlobalAveragePooling2D()(input_feature)
22 se_feature = Reshape((1, 1, channel))(se_feature)
AttributeError: 'KerasTensor' object has no attribute '_keras_shape'
I am using jupyter command prompt in anaconda. my python version is 3.6, tensorflow =2.2.0, keras=2.3.1
while using tensorflow =1.13.1 keras=2.2.0 in colab the code is running. but in jupyter the same version and the above version is not running.
so kindly guide me to fix the issues as soon as possible
The text was updated successfully, but these errors were encountered: