KeyError: 'zeropadding2d'

[hoda213]

Hello,
I am trying to apply deeplift on my image dataset with densenet121 model but I get error:
my code is:

import deeplift
from deeplift.layers import NonlinearMxtsMode
from deeplift.conversion import kerasapi_conversion as kc
from tensorflow.keras.layers import ZeroPadding2D,BatchNormalization,Conv2D,Concatenate
saved_model_file='model.h5'

Three different models, one each for RevealCancel, Gradient and GuidedBackprop
revealcancel_model = kc.convert_model_from_saved_files(
h5_file=saved_model_file,
nonlinear_mxts_mode=NonlinearMxtsMode.RevealCancel)
grad_model = kc.convert_model_from_saved_files(
h5_file=saved_model_file,
nonlinear_mxts_mode=NonlinearMxtsMode.Gradient)
guided_backprop_model = kc.convert_model_from_saved_files(
h5_file=saved_model_file,
nonlinear_mxts_mode=NonlinearMxtsMode.GuidedBackprop)

and my error is:
KeyError: 'zeropadding2d'

KeyError Traceback (most recent call last)
in ()
14 guided_backprop_model = kc.convert_model_from_saved_files(
15 h5_file=saved_model_file,
---> 16 nonlinear_mxts_mode=NonlinearMxtsMode.GuidedBackprop)

3 frames
/usr/local/lib/python3.6/dist-packages/deeplift/conversion/kerasapi_conversion.py in convert_model_from_saved_files(h5_file, json_file, yaml_file, **kwargs)
411 layer_config["config"]["weights"] = layer_weights
412
--> 413 return model_conversion_function(model_config=model_config, **kwargs)
414
415

/usr/local/lib/python3.6/dist-packages/deeplift/conversion/kerasapi_conversion.py in convert_functional_model(model_config, nonlinear_mxts_mode, verbose, dense_mxts_mode, conv_mxts_mode, maxpool_deeplift_mode, layer_overrides, custom_conversion_funcs)
835 maxpool_deeplift_mode=maxpool_deeplift_mode,
836 layer_overrides=layer_overrides,
--> 837 custom_conversion_funcs=custom_conversion_funcs)
838
839 for output_layer in converted_model_container.output_layers:

/usr/local/lib/python3.6/dist-packages/deeplift/conversion/kerasapi_conversion.py in functional_container_conversion(config, name, verbose, nonlinear_mxts_mode, dense_mxts_mode, conv_mxts_mode, maxpool_deeplift_mode, layer_overrides, custom_conversion_funcs, outer_inbound_node_infos, node_id_to_deeplift_layers, node_id_to_input_node_info, name_to_deeplift_layer)
588 else:
589 conversion_function = layer_name_to_conversion_function(
--> 590 layer_config["class_name"])
591
592 #We need to deal with the case of shared layers, i.e. the same

/usr/local/lib/python3.6/dist-packages/deeplift/conversion/kerasapi_conversion.py in layer_name_to_conversion_function(layer_name)
345 # lowercase to create resistance to capitalization changes
346 # was a problem with previous Keras versions
--> 347 return name_dict[layer_name.lower()]
348
349

I would be grateful if you have any idea to solve it

[NGD1L]

Hello，i meet this trouble too！Do you solve it?