![](/img/trans.png)
[英]TensorFlow Recommenders - ValueError: Shape must be rank 2 but is rank 3
[英]TensorFlow: Value Error Shape and Rank Do Not Match: ValueError: Shape (?, 128, 128, 2) must have rank 2
使用 deconv 神经网络运行预测时出现此异常。 等级和形状似乎相同,所以我不确定问题是什么。
File "/home/Workspace/image-recognition/app/model/per_pixel_deconv.py", line 141, in Model
softmax = tf.nn.softmax(output, name=None)
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 1396, in softmax
result = _op_def_lib.apply_op("Softmax", logits=logits, name=name)
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 703, in apply_op
op_def=op_def)
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2319, in create_op
set_shapes_for_outputs(ret)
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1711, in set_shapes_for_outputs
shapes = shape_func(op)
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 45, in _ShapeFunction
return [op.inputs[0].get_shape().with_rank(rank)]
File "/home/anaconda2/envs/image-recognition/lib/python2.7/site-packages/tensorflow/python/framework/tensor_shape.py", line 641, in with_rank
raise ValueError("Shape %s must have rank %d" % (self, rank))
ValueError: Shape (?, 128, 128, 2) must have rank 2
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.