Getting Error While trying to convert to sparse Matrix

[s348ankit]

I am getting below error while trying to convert Dense Matrix to Sparse Matrix.
TypeError: Cannot cast scalar from dtype('O') to dtype('float32') according to the rule 'same_kind'

... vanilla_layer =net.params[layer][0].data
... #print('{}. Layer: {} Type: {} Shape: {} Min weight: {} Max weight: {}'.format(idx,layer,net.layers[idx].type,vanilla_layer.shape,vanilla_layer.min(),vanilla_layer.max()))
... if 'fc6' in layer:
... vanilla_layer_prune,before,after=prune_max_abs_connections_threshold(layer,vanilla_layer,prune_level_FC6)
... np.copyto(net.params[layer][0].data, sparse.csc_matrix(vanilla_layer_prune))
... if 'fc7' in layer:
... vanilla_layer_prune,before,after=prune_max_abs_connections_threshold(layer,vanilla_layer,prune_level_FC7)
... np.copyto(net.params[layer][0].data, sparse.csc_matrix(vanilla_layer_prune))
... if 'fc8' in layer:
... vanilla_layer_prune,before,after=prune_max_abs_connections_threshold(layer,vanilla_layer,prune_level_FC8)
... np.copyto(net.params[layer][0].data, sparse.csc_matrix(vanilla_layer_prune))
...
Traceback (most recent call last):
File "", line 6, in
TypeError: Cannot cast scalar from dtype('O') to dtype('float32') according to the rule 'same_kind'

[wenwei202]

Which code are you using?