我在将预训练的参数加载到张量层中时遇到问题。 我尝试使用srgan（https://github.com/tensorlayer/srgan）及其预训练的参数（https://github.com/tensorlayer/srgan/releases/tag/1.2.0）
适用代码如下
G = get_G([1, None, None, 3])
load_params = tl.files.load_npz(path='', name='g_srgan.npz')
tl.files.assign_weights(load_params,
#G.load_weights(os.path.join("g_srgan.npz"))
G.eval()
我遇到错误：
Traceback (most recent call last):
File "train.py", line 194, in <module>
evaluate(session)
File "train.py", line 156, in evaluate
tl.files.assign_weights(load_params, G)
File "/usr/local/lib/python3.6/dist-packages/tensorlayer/files/utils.py", line 2023, in assign_weights
ops.append(network.all_weights[idx].assign(param))
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py", line 819, in assign
self._shape.assert_is_compatible_with(value_tensor.shape)
File "/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/framework/tensor_shape.py", line 1110, in assert_is_compatible_with
raise ValueError("Shapes %s and %s are incompatible" % (self, other))
ValueError: Shapes (1, 1, 1, 64) and (64,) are incompatible
请告诉我解决方案。 谢谢!!