大家好，
我正在尝试在新计算机上运行程序，但是出现了所有这些错误和警告。从结果看，似乎所有问题都来自张量流。
我也尝试过在其他计算机上运行该程序，
第一个问题是我无法弄清楚这些警告的含义，在其他计算机上没有这些警告。
$ ./run_av.sh
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/io_utils.py:208: tf_record_iterator (from tensorflow.python.lib.io.tf_record) is deprecated and will be removed in a future version.
Instructions for updating:
Use eager execution and:
`tf.data.TFRecordDataset(path)`
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/io_utils.py:183: to_int64 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/data/ops/dataset_ops.py:1419: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/video.py:27: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.conv2d instead.
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/video.py:11: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.batch_normalization instead.
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/cells.py:19: LSTMCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0.
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/cells.py:92: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.
WARNING:tensorflow:From /home/wentao/Sigmedia-AVSR-LRS2/avsr/encoder.py:81: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `keras.layers.RNN(cell)`, which is equivalent to this API
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/rnn.py:626: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/rnn_cell_impl.py:1259: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/helper.py:311: Bernoulli.__init__ (from tensorflow.python.ops.distributions.bernoulli) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/distributions/bernoulli.py:97: Distribution.__init__ (from tensorflow.python.ops.distributions.distribution) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/contrib/seq2seq/python/ops/helper.py:314: Categorical.__init__ (from tensorflow.python.ops.distributions.categorical) is deprecated and will be removed after 2019-01-01.
Instructions for updating:
The TensorFlow Distributions library has moved to TensorFlow Probability (https://github.com/tensorflow/probability). You should update all references to use `tfp.distributions` instead of `tf.distributions`.
WARNING:tensorflow:From /home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/distributions/categorical.py:278: multinomial (from tensorflow.python.ops.random_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.random.categorical instead.
/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/gradients_impl.py:110: UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
"Converting sparse IndexedSlices to a dense Tensor of unknown shape. "
Traceback (most recent call last):
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 511, in _apply_op_helper
preferred_dtype=default_dtype)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1175, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 977, in _TensorTensorConversionFunction
(dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype float32 for Tensor with dtype resource: 'Tensor("Decoder/video/Encoder/multi_rnn_cell/cell_0/lstm_cell/kernel/AMSGrad:0", shape=(), dtype=resource)'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "experiment_tcd_av.py", line 64, in <module>
main(sys.argv)
File "experiment_tcd_av.py", line 47, in main
num_gpus=1,
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/avsr.py", line 193, in __init__
self._create_models()
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/avsr.py", line 381, in _create_models
batch_size=self._hparams.batch_size[0])
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/avsr.py", line 418, in _make_model
hparams=self._hparams
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/seq2seq.py", line 21, in __init__
self._make_decoder()
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/seq2seq.py", line 113, in _make_decoder
hparams=self._hparams
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/decoder_bimodal.py", line 51, in __init__
self._init_decoder()
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/decoder_bimodal.py", line 116, in _init_decoder
self._init_optimiser()
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/decoder_bimodal.py", line 514, in _init_optimiser
zip(gradients, variables), global_step=tf.train.get_global_step())
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 612, in apply_gradients
update_ops.append(processor.update_op(self, grad))
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/training/optimizer.py", line 171, in update_op
update_op = optimizer._resource_apply_dense(g, self._v)
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/AMSGrad.py", line 96, in _resource_apply_dense
m_t = state_ops.assign(m, beta1_t * m + m_scaled_g_values, use_locking=self._use_locking)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 812, in binary_op_wrapper
return func(x, y, name=name)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py", line 1078, in _mul_dispatch
return gen_math_ops.mul(x, y, name=name)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_math_ops.py", line 5860, in mul
"Mul", x=x, y=y, name=name)
File "/home/wentao/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 547, in _apply_op_helper
inferred_from[input_arg.type_attr]))
TypeError: Input 'y' of 'Mul' Op has type resource that does not match type float32 of argument 'x'.
Exception ignored in: <bound method AVSR.__del__ of <avsr.avsr.AVSR object at 0x7f3db42332b0>>
Traceback (most recent call last):
File "/home/wentao/Sigmedia-AVSR-LRS2/avsr/avsr.py", line 198, in __del__
self._train_session.close()
AttributeError: 'AVSR' object has no attribute '_train_session'
对于ValueError和TypeError，我不知道为什么。
我刚刚使用过“ pip3 install tensorflow”安装tensorflow，但似乎有问题，
请帮助我或给我一些建议来解决它，谢谢