这对我来说有点奇怪，因为我在几天前和之前多次运行这个笔记本都没有类似的东西。 另外我发现了这个GitHub的问题
在 MacOS 上
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/theano/tensor/type.py in dtype_specs(self)
268 'complex64': (complex, 'theano_complex64', 'NPY_COMPLEX64')
--> 269 }[self.dtype]
270 except KeyError:
KeyError: "<dtype: 'int32'>"
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-10-36f43ebc6563> in <module>
----> 1 model = modellib.MaskRCNN(mode="training", config=config, model_dir=MODEL_DIR)
~/Study/Project07 - MaskRCNN/mrcnn/model.py in __init__(self, mode, config, model_dir)
2041 self.model_dir = model_dir
2042 self.set_log_dir()
-> 2043 self.keras_model = self.build(mode=mode, config=config)
2044
2045 def build(self, mode, config):
~/Study/Project07 - MaskRCNN/mrcnn/model.py in build(self, mode, config)
2066 # RPN GT
2067 input_rpn_match = KL.Input(
-> 2068 shape=[None, 1], name="input_rpn_match", dtype=tf.int32)
2069 input_rpn_bbox = KL.Input(
2070 shape=[None, 4], name="input_rpn_bbox", dtype=tf.float32)
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/keras/engine/topology.py in Input(shape, batch_shape, name, dtype, sparse, tensor)
1461 name=name, dtype=dtype,
1462 sparse=sparse,
-> 1463 input_tensor=tensor)
1464 # Return tensor including _keras_shape and _keras_history.
1465 # Note that in this case train_output and test_output are the same pointer.
~/miniconda3/envs/mask_rcnn_old2/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
89 warnings.warn('Update your `' + object_name +
90 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 91 return func(*args, **kwargs)
92 wrapper._original_function = func
93 return wrapper
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/keras/engine/topology.py in __init__(self, input_shape, batch_size, batch_input_shape, dtype, input_tensor, sparse, name)
1370 dtype=dtype,
1371 sparse=self.sparse,
-> 1372 name=self.name)
1373 else:
1374 self.is_placeholder = False
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/keras/backend/theano_backend.py in placeholder(shape, ndim, dtype, sparse, name)
237 x = th_sparse_module.csr_matrix(name=name, dtype=dtype)
238 else:
--> 239 x = T.TensorType(dtype, broadcast)(name)
240 x._keras_shape = shape
241 x._uses_learning_phase = False
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/theano/tensor/type.py in __init__(self, dtype, broadcastable, name, sparse_grad)
49 # True or False
50 self.broadcastable = tuple(bool(b) for b in broadcastable)
---> 51 self.dtype_specs() # error checking is done there
52 self.name = name
53 self.numpy_dtype = np.dtype(self.dtype)
~/miniconda3/envs/mask_rcnn/lib/python3.6/site-packages/theano/tensor/type.py in dtype_specs(self)
270 except KeyError:
271 raise TypeError("Unsupported dtype for %s: %s"
--> 272 % (self.__class__.__name__, self.dtype))
273
274 def to_scalar_type(self):
TypeError: Unsupported dtype for TensorType: <dtype: 'int32'>
我仍然不确定问题是什么，但是在关闭 jupyter、停用 conda 并重新打开终端、conda env、jupyter 等后，它已经消失了。