deconv = visualize(model, img_array, layer_name, feature_to_visualize, visualize_mode)

[saketd403]

deconv = visualize(model, img_array, layer_name, feature_to_visualize, visualize_mode)

[don-tpanic]

Same error here. I wonder if the author could be so kind to explain why np.squeeze and numpy.expand_dims were used consecutively? And It does seem some operation creates extra dimension that eventually caused the error above.

Thanks,

[siamese2020]

当 exec deconv = visualize(model, img_array, layer_name, feature_to_visualize, visualize_mode) 有一个 InvalidArgumentError `InvalidArgumentError Traceback（最近一次调用最后） 在 1 deconv = 可视化（模型，img_array， ----> 2 layer_name，feature_to_visualize，visualize_mode）

在可视化（模型，数据，layer_name，feature_to_visualize，visualize_mode） 29 deconv_layers[0].up(data) 30 for i in range(1, len(deconv_layers)): ---> 31 deconv_layers[i].up(deconv_layers [i - 1].up_data) 32 33 输出 = deconv_layers[-1].up_data

in up(self, data, learning_phase) 34 def up(self, data, learning_phase = 0): 35 #Forward pass ---> 36 self.up_data = self.up_func([data, learning_phase]) 37 self.up_data= np.squeeze(self.up_data,axis=0) 38 self.up_data=numpy.expand_dims(self.up_data,axis=0)

~/anaconda3/envs/tfEnv/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py in call (self, inputs) 2713 return self._legacy_call(inputs) 2714 -> 2715 return self._call(inputs ) 2716 else: 2717 if py_any(is_tensor(x) for x in inputs):

~/anaconda3/envs/tfEnv/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py in _call(self, inputs) 2673 fetched = self._callable_fn(*array_vals, run_metadata=self.run_metadata) 2674 else : -> 2675 fetched = self._callable_fn(*array_vals) 2676 return fetched[:len(self.outputs)] 2677

~/anaconda3/envs/tfEnv/lib/python3.6/site-packages/tensorflow/python/client/session.py in call (self, *args, **kwargs) 1380 ret = tf_session.TF_SessionRunCallable（ 1381 self._session ._session, self._handle, args, status, -> 1382 run_metadata_ptr) 1383 if run_metadata: 1384 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

~/anaconda3/envs/tfEnv/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg) 517 None, None, 518 compat.as_text(c_api.TF_Message(self.status.status)), --> 519 c_api.TF_GetCode(self.status.status)) 520 # Delete the underlying status object from memory otherwise it stays alive 521 # as there is a reference to status from this from the traceback due to

InvalidArgumentError: transpose 需要一个大小为 6 的向量。但 input(1) 是一个大小为 4 的向量 [[Node: conv2d_84/Conv2D-0-TransposeNHWCToNCHW-LayoutOptimizer = Transpose[T=DT_FLOAT, Tperm=DT_INT32, _device="/job :localhost/replica:0/task:0/device:GPU:0"](_arg_input_85_0_0/_1345, PermConstNHWCToNCHW-LayoutOptimizer)]]`

Encountered the same problem, have you solved i