Attention模块中的ValueError

Question

[ValueError：无法压缩dim [1]，预期尺寸为1，输入形状为[16,14,14,512]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", line 240, 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: [16,14,14,512].

ValueError：无法压缩dim [1]，预期尺寸为1，输入形状为[16,14,14,512]的'tower_0 / joint_embedding / Squeeze'（op：'Squeeze'）得到14个最后调用）：文件...

Answer 1

您遇到的错误是当您错误地为张量指定挤压尺寸时。请参见下面的示例：