A problem about __init__() got an unexpected keyword argument 'name'

[lqjsurpass]

---

TypeError Traceback (most recent call last) in () 251 FLAGS = enrich_options(FLAGS) 252 --> 253 main(FLAGS) 254

in main(FLAGS) 173 with tf.variable_scope("Model", reuse=None, initializer=initializer): 174 train_graph = SentenceMatchModelGraph(num_classes, word_vocab=word_vocab, char_vocab=char_vocab, --> 175 is_training=True, options=FLAGS, global_step=global_step) 176 177 with tf.variable_scope("Model", reuse=True, initializer=initializer):

/notebooks/BiMPM1/src/SentenceMatchModelGraph.pyc in init(self, num_classes, word_vocab, char_vocab, is_training, options, global_step) 8 self.options = options 9 self.create_placeholders() ---> 10 self.create_model_graph(num_classes, word_vocab, char_vocab, is_training, global_step=global_step) 11 12 def create_placeholders(self):

/notebooks/BiMPM1/src/SentenceMatchModelGraph.pyc in create_model_graph(self, num_classes, word_vocab, char_vocab, is_training, global_step) 95 (question_char_outputs_fw, question_char_outputs_bw, _) = layer_utils.my_lstm_layer(in_question_char_repres, options.char_lstm_dim, 96 input_lengths=question_char_lengths,scope_name="char_lstm", reuse=False, ---> 97 is_training=is_training, dropout_rate=options.dropout_rate, use_cudnn=options.use_cudnn) 98 question_char_outputs_fw = layer_utils.collect_final_step_of_lstm(question_char_outputs_fw, question_char_lengths - 1) 99 question_char_outputs_bw = question_char_outputs_bw[:, 0, :]

/notebooks/BiMPM1/src/layer_utils.py in my_lstm_layer(input_reps, lstm_dim, input_lengths, scope_name, reuse, is_training, dropout_rate, use_cudnn) 18 inputs = tf.transpose(input_reps, [1, 0, 2]) 19 lstm = tf.contrib.cudnn_rnn.CudnnLSTM(1, lstm_dim, direction="bidirectional", ---> 20 name="{}_cudnn_bi_lstm".format(scope_name), dropout=dropout_rate if is_training else 0) 21 outputs, _ = lstm(inputs) 22 outputs = tf.transpose(outputs, [1, 0, 2])

TypeError: init() got an unexpected keyword argument 'name'

Thanks very much！

[lqjsurpass]

Because my English is particularly poor, so please forgive my rudeness，This sentence is translated by google。
Thanks again！

[zhiguowang]

Looks like we are using different versions of tensorflow. I'm using tensorflow 1.4 nightly. A easier fix for you, is just to remove "name="{}_cudnn_bi_lstm".format(scope_name)" from https://github.com/zhiguowang/BiMPM/blob/master/src/layer_utils.py#L20

[lqjsurpass]

I remve the "{}_cudnn_bi_lstm".format(scope_name)" ,and get follow error

---

TypeError Traceback (most recent call last) in () 251 FLAGS = enrich_options(FLAGS) 252 --> 253 main(FLAGS) 254

in main(FLAGS) 173 with tf.variable_scope("Model", reuse=None, initializer=initializer): 174 train_graph = SentenceMatchModelGraph(num_classes, word_vocab=word_vocab, char_vocab=char_vocab, --> 175 is_training=True, options=FLAGS, global_step=global_step) 176 177 with tf.variable_scope("Model", reuse=True, initializer=initializer):

/notebooks/BiMPM1/src/SentenceMatchModelGraph.pyc in init(self, num_classes, word_vocab, char_vocab, is_training, options, global_step) 8 self.options = options 9 self.create_placeholders() ---> 10 self.create_model_graph(num_classes, word_vocab, char_vocab, is_training, global_step=global_step) 11 12 def create_placeholders(self):

/notebooks/BiMPM1/src/SentenceMatchModelGraph.pyc in create_model_graph(self, num_classes, word_vocab, char_vocab, is_training, global_step) 95 (question_char_outputs_fw, question_char_outputs_bw, _) = layer_utils.my_lstm_layer(in_question_char_repres, options.char_lstm_dim, 96 input_lengths=question_char_lengths,scope_name="char_lstm", reuse=False, ---> 97 is_training=is_training, dropout_rate=options.dropout_rate, use_cudnn=options.use_cudnn) 98 question_char_outputs_fw = layer_utils.collect_final_step_of_lstm(question_char_outputs_fw, question_char_lengths - 1) 99 question_char_outputs_bw = question_char_outputs_bw[:, 0, :]

/notebooks/BiMPM1/src/layer_utils.py in my_lstm_layer(input_reps, lstm_dim, input_lengths, scope_name, reuse, is_training, dropout_rate, use_cudnn) 18 inputs = tf.transpose(input_reps, [1, 0, 2]) 19 lstm = tf.contrib.cudnn_rnn.CudnnLSTM(1, lstm_dim, direction="bidirectional", ---> 20 dropout=dropout_rate if is_training else 0) 21 outputs, _ = lstm(inputs) 22 outputs = tf.transpose(outputs, [1, 0, 2])

TypeError: init() takes at least 4 arguments (5 given)

[lqjsurpass]

I plan to change tensorflow for the same version as yours，

[lqjsurpass]

My current version is also 1.4

[zhiguowang]

I just check my version. Here is the one I'm using tensorflow 1.5.0-dev20171106. Sorry for the inconvenience.

On Tue, Jan 30, 2018 at 10:06 PM, lqjsurpass [email protected] wrote:

The version I use now is also tensorflow 1.4

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[vacing]

meet the same problem, I think the "Requirements" chapter in README.md of this project should be modifiled

[vacing]

I have changed my tensorflow version to 1.5.0(tensorflow-1.5.0-cp27-cp27mu-manylinux1_x86_64.whl), but encountered another error.

2018-02-05 14:37:26.647844: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
Traceback (most recent call last):
  File "src/SentenceMatchTrainer.py", line 253, in <module>
    main(FLAGS)
  File "src/SentenceMatchTrainer.py", line 191, in main
    sess.run(initializer)
  File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run
    run_metadata_ptr)
  File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1128, in _run
    feed_dict_tensor, options, run_metadata)
  File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1344, in _do_run
    options, run_metadata)
  File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1363, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNNCanonicalToParams' with these attrs.  Registered devices: [CPU], Registered kernels:
  <no registered kernels>

	 [[Node: Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams = CudnnRNNCanonicalToParams[T=DT_FLOAT, direction="bidirectional", dropout=0, input_mode="linear_input", num_params=16, rnn_mode="lstm", seed=0, seed2=0](Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/num_layers, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/num_units, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/input_size, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_1, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_2, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_3, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_4, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_5, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_6, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_7, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_8, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_9, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_10, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_11, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_12, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_13, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_14, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_15, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_1, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_2, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_3, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_4, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_5, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_6, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_7, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_8, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_9, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_10, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_11, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_12, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_13, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_14, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_15)]]

[zhiguowang]

looks like you are not using GPU, or don't have the cudnn. If you are using cpu, you can change https://github.com/zhiguowang/BiMPM/blob/master/configs/snli.sample.config#L46 to false, and try again.

On Mon, Feb 5, 2018 at 1:45 AM, vacingFang [email protected] wrote:

I have changed the tensor flow version to 1.5.0, but encountered another error.

2018-02-05 14:37:26.647844: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA Traceback (most recent call last): File "src/SentenceMatchTrainer.py", line 253, in main(FLAGS) File "src/SentenceMatchTrainer.py", line 191, in main sess.run(initializer) File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 895, in run run_metadata_ptr) File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1128, in _run feed_dict_tensor, options, run_metadata) File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1344, in _do_run options, run_metadata) File "/usr/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1363, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'CudnnRNNCanonicalToParams' with these attrs. Registered devices: [CPU], Registered kernels:

[[Node: Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams = CudnnRNNCanonicalToParams[T=DT_FLOAT, direction="bidirectional", dropout=0, input_mode="linear_input", num_params=16, rnn_mode="lstm", seed=0, seed2=0](Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/num_layers, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/num_units, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/CudnnRNNCanonicalToParams/input_size, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_1, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_2, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_3, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_4, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_5, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_6, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_7, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_8, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_9, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_10, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_11, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_12, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_13, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_14, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/random_uniform_15, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_1, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_2, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_3, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_4, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_5, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_6, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_7, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_8, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_9, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_10, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_11, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_12, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_13, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_14, Model_1/aggregation_layer/right_layer-0/right_layer-0_cudnn_bi_lstm/right_layer-0_cudnn_bi_lstm/Const_15)]]

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[vacing]

looks like you are not using GPU, or don't have the cudnn. If you are using cpu, you can change https://github.com/zhiguowang/BiMPM/blob/master/configs/snli.sample.config#L46 to false, and try again.

it works, many thanks