ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'Tensor("embedding_1/random_uniform:0", shape=(20000, 200), dtype=float32)' about twitter-sentiment-analysis HOT 3 OPEN

same here +1

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Similar error

/usr/local/lib/python3.6/site-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
/usr/local/lib/python3.6/site-packages/keras/preprocessing/text.py:172: UserWarning: The nb_words argument in Tokenizer has been renamed num_words.
warnings.warn('The nb_words argument in Tokenizer '
/usr/local/lib/python3.6/site-packages/keras/engine/topology.py:1271: UserWarning: The dropout argument is no longer support in Embedding. You can apply a keras.layers.SpatialDropout1D layer right after the Embedding layer to get the same behavior.
return cls(**config)
/usr/local/lib/python3.6/site-packages/keras/engine/topology.py:1271: UserWarning: Update your Embedding call to the Keras 2 API: Embedding(trainable=False, name="embedding_1", activity_regularizer=None, input_dtype="int32", mask_zero=False, input_dim=20000, batch_input_shape=[None, 100..., output_dim=200, input_length=1000, embeddings_initializer="uniform", embeddings_regularizer=None, embeddings_constraint=None)
return cls(**config)
Traceback (most recent call last):
File "predict.py", line 41, in
main()
File "predict.py", line 20, in main
model = load_model('model.h5')
File "/usr/local/lib/python3.6/site-packages/keras/models.py", line 270, in load_model
model = model_from_config(model_config, custom_objects=custom_objects)
File "/usr/local/lib/python3.6/site-packages/keras/models.py", line 347, in model_from_config
return layer_module.deserialize(config, custom_objects=custom_objects)
File "/usr/local/lib/python3.6/site-packages/keras/layers/init.py", line 55, in deserialize
printable_module_name='layer')
File "/usr/local/lib/python3.6/site-packages/keras/utils/generic_utils.py", line 144, in deserialize_keras_object
list(custom_objects.items())))
File "/usr/local/lib/python3.6/site-packages/keras/models.py", line 1412, in from_config
model.add(layer)
File "/usr/local/lib/python3.6/site-packages/keras/models.py", line 497, in add
layer(x)
File "/usr/local/lib/python3.6/site-packages/keras/engine/topology.py", line 592, in call
self.build(input_shapes[0])
File "/usr/local/lib/python3.6/site-packages/keras/layers/embeddings.py", line 105, in build
dtype=self.dtype)
File "/usr/local/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.6/site-packages/keras/engine/topology.py", line 416, in add_weight
constraint=constraint)
File "/usr/local/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 396, in variable
v = tf.Variable(value, dtype=tf.as_dtype(dtype), name=name)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 235, in init
constraint=constraint)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 355, in _init_from_args
initial_value, name="initial_value", dtype=dtype)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1014, in convert_to_tensor
as_ref=False)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1104, in internal_convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 947, in _TensorTensorConversionFunction
(dtype.name, t.dtype.name, str(t)))
ValueError: Tensor conversion requested dtype int32 for Tensor with dtype float32: 'Tensor("embedding_1/random_uniform:0", shape=(20000, 200), dtype=float32)'

from twitter-sentiment-analysis.

We should have same version of keras installed in your system and the trained model.

from twitter-sentiment-analysis.