Error executing ELMO model- tensorflow.python.framework.errors_impl.InvalidArgumentError:

Multi tool use
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0















I tried running the ELMO model and was following this example. However, i am getting below error



File "ELMOS2.py", line 225, in <module>
validation_steps=valid_steps)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training_generator.py", line 217, in fit_generator
class_weight=class_weight)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1217, in train_on_batch
outputs = self.train_function(ins)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__
return self._call(inputs)
File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
fetched = self._callable_fn(*array_vals)
File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1439, in __call__
run_metadata_ptr)
File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[6,69] = 280617 is not in [0, 280617)
[[{{node embedding_1/embedding_lookup}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/Adam/Assign_2"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, _arg_input_1_0_0, training/Adam/gradients/embedding_1/embedding_lookup_grad/concat/axis)]]










share|improve this question



























    0















    I tried running the ELMO model and was following this example. However, i am getting below error



    File "ELMOS2.py", line 225, in <module>
    validation_steps=valid_steps)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
    return func(*args, **kwargs)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
    initial_epoch=initial_epoch)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training_generator.py", line 217, in fit_generator
    class_weight=class_weight)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1217, in train_on_batch
    outputs = self.train_function(ins)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__
    return self._call(inputs)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
    fetched = self._callable_fn(*array_vals)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1439, in __call__
    run_metadata_ptr)
    File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__
    c_api.TF_GetCode(self.status.status))
    tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[6,69] = 280617 is not in [0, 280617)
    [[{{node embedding_1/embedding_lookup}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/Adam/Assign_2"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, _arg_input_1_0_0, training/Adam/gradients/embedding_1/embedding_lookup_grad/concat/axis)]]










    share|improve this question

























      0












      0








      0








      I tried running the ELMO model and was following this example. However, i am getting below error



      File "ELMOS2.py", line 225, in <module>
      validation_steps=valid_steps)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
      return func(*args, **kwargs)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
      initial_epoch=initial_epoch)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training_generator.py", line 217, in fit_generator
      class_weight=class_weight)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1217, in train_on_batch
      outputs = self.train_function(ins)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__
      return self._call(inputs)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
      fetched = self._callable_fn(*array_vals)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1439, in __call__
      run_metadata_ptr)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__
      c_api.TF_GetCode(self.status.status))
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[6,69] = 280617 is not in [0, 280617)
      [[{{node embedding_1/embedding_lookup}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/Adam/Assign_2"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, _arg_input_1_0_0, training/Adam/gradients/embedding_1/embedding_lookup_grad/concat/axis)]]










      share|improve this question














      I tried running the ELMO model and was following this example. However, i am getting below error



      File "ELMOS2.py", line 225, in <module>
      validation_steps=valid_steps)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
      return func(*args, **kwargs)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1418, in fit_generator
      initial_epoch=initial_epoch)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training_generator.py", line 217, in fit_generator
      class_weight=class_weight)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1217, in train_on_batch
      outputs = self.train_function(ins)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2715, in __call__
      return self._call(inputs)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2675, in _call
      fetched = self._callable_fn(*array_vals)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1439, in __call__
      run_metadata_ptr)
      File "/home/ec2-user/.local/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 528, in __exit__
      c_api.TF_GetCode(self.status.status))
      tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[6,69] = 280617 is not in [0, 280617)
      [[{{node embedding_1/embedding_lookup}} = GatherV2[Taxis=DT_INT32, Tindices=DT_INT32, Tparams=DT_FLOAT, _class=["loc:@training/Adam/Assign_2"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](embedding_1/embeddings/read, _arg_input_1_0_0, training/Adam/gradients/embedding_1/embedding_lookup_grad/concat/axis)]]







      tensorflow keras word-embedding






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      asked Jan 2 at 16:00









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