Sequential model input layer convert #129
Description
Hi Avanti,
I was trying to apply DeepLIFT to a sequential model. When using "kc.convert_model_from_saved_files" function, it gave error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "deeplift/deeplift/conversion/kerasapi_conversion.py", line 388, in convert_model_from_saved_files
+" weights file which has layer names "+str(model_weights.keys()))
AssertionError: Layer conv1d_3_input is in the layer names but not in the weights file which has layer names <KeysViewHDF5 ['conv1d', 'conv1d_1', 'conv1d_2', 'conv1d_3', 'dense', 'dense_1', 'dropout', 'dropout_1', 'flatten', 'max_pooling1d', 'max_pooling1d_1']>
The conv1d_3_input is the input layer, which should not have weights. Could you help me with it?
If it helps, below is part of the model config:
{'name': 'sequential', 'layers': [{'class_name': 'InputLayer', 'config': {'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'sparse': False, 'ragged': False, 'name': 'conv1d_3_input'}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_3', 'trainable': True, 'batch_input_shape': [None, 500, 4], 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Conv1D', 'config': {'name': 'conv1d_2', 'trainable': True, 'dtype': 'float32', 'filters': 32, 'kernel_size': [12], 'strides': [1], 'padding': 'valid', 'data_format': 'channels_last', 'dilation_rate': [1], 'groups': 1, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'GlorotUniform', 'config': {'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, ...
Thanks!
Yan