ValueError：无法压缩dim [1]，预期尺寸为1，输入形状为[16,14,512]的'tower_0 / joint_embedding / Squeeze'（op：'Squeeze'）得到14 >
Traceback (most recent call last):
File "train_image_text.py",line 244,in <module>
tf.app.run()
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/platform/app.py",line 48,in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "train_image_text.py",line 240,in main
train_models.train()
File "/net/per610a/export/das18a/satoh-lab/kajalk/new_exp_cm/CMPL/train_models.py",in train
input_seqs_splits[k],input_masks_splits[k])
File "/net/per610a/export/das18a/satoh-lab/kajalk/new_exp_cm/CMPL/train_models.py",line 76,in _tower_loss
patch_embeddings = build_patch_joint_embeddings(patch_features,scope='patch_joint_embedding')
File "/net/per610a/export/das18a/satoh-lab/kajalk/new_exp_cm/CMPL/modules.py",line 228,in build_patch_joint_embeddings
joint_embeddings = tf.squeeze(joint_embeddings,[1]) # batch_size * patch_size *feature_size
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py",line 2394,in squeeze
return gen_array_ops._squeeze(input,axis,name)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py",line 5202,in _squeeze
"Squeeze",input=input,squeeze_dims=squeeze_dims,name=name)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py",line 787,in _apply_op_helper
op_def=op_def)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py",line 2958,in create_op
set_shapes_for_outputs(ret)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py",line 2209,in set_shapes_for_outputs
shapes = shape_func(op)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py",line 2159,in call_with_requiring
return call_cpp_shape_fn(op,require_shape_fn=True)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py",line 627,in call_cpp_shape_fn
require_shape_fn)
File "/net/per920a/export/das14a/satoh-lab/kajalk/anaconda2/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py",line 691,in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Can not squeeze dim[1],expected a dimension of 1,got 14 for 'tower_0/joint_embedding/Squeeze' (op: 'Squeeze') with input shapes: [16,512].