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Skuldur / Classical-Piano-Composer

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ValueError(Shape error) #35

Closed naganikshith04 closed 4 years ago

naganikshith04 commented 4 years ago

C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:469: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:470: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:471: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:472: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:473: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:476: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\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. Traceback (most recent call last): File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 686, in _call_cpp_shape_fn_impl input_tensors_as_shapes, status) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 473, in exit__ c_api.TF_GetCode(self.status.status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 1 in both shapes must be equal, but are 358 and 279 for 'Assign_19' (op: 'Assign') with input shapes: [256,358], [256,279].

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "predict.py", line 148, in generate() File "predict.py", line 30, in generate model = create_network(normalized_input, n_vocab) File "predict.py", line 84, in create_network model.load_weights('weights.hdf5') File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\keras_impl\keras\models.py", line 693, in load_weights topology.load_weights_from_hdf5_group(f, layers) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\keras_impl\keras\engine\topology.py", line 1486, in load_weights_from_hdf5_group K.batch_set_value(weight_value_tuples) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\keras_impl\keras\backend.py", line 2401, in batch_set_value assign_op = x.assign(assign_placeholder) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\variables.py", line 573, in assign return state_ops.assign(self._variable, value, use_locking=use_locking) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\state_ops.py", line 276, in assign validate_shape=validate_shape) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_state_ops.py", line 56, in assign use_locking=use_locking, name=name) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2958, in create_op set_shapes_for_outputs(ret) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2209, in set_shapes_for_outputs shapes = shape_func(op) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 2159, in call_with_requiring return call_cpp_shape_fn(op, require_shape_fn=True) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 627, in call_cpp_shape_fn require_shape_fn) File "C:\Users\nagan\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 691, in _call_cpp_shape_fn_impl raise ValueError(err.message) ValueError: Dimension 1 in both shapes must be equal, but are 358 and 279 for 'Assign_19' (op: 'Assign') with input shapes: [256,358], [256,279].