You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When I run the sample.py, an error occurred:
Traceback (most recent call last):
File "sample.py", line 57, in
model = Model(saved_args, True)
File "C:\YMJ\download_pro\magenta-master\magenta\models\sketch_rnn\sketch-rnn-master\model.py", line 93, in init
outputs, states = custom_rnn_autodecoder(inputs, self.initial_input, self.initial_state, cell, scope='rnn_mdn')
File "C:\YMJ\download_pro\magenta-master\magenta\models\sketch_rnn\sketch-rnn-master\model.py", line 71, in custom_rnn_autodecoder
output, new_state = cell(inp, states[-1])
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\layers\base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 1066, in call
cur_inp, new_state = cell(cur_inp, cur_state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\layers\base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 441, in call
value=self._linear([inputs, h]), num_or_size_splits=4, axis=1)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 1189, in call
res = math_ops.matmul(array_ops.concat(args, 1), self._weights)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1891, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2436, in _mat_mul
name=name)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\ops.py", line 2958, in create_op
set_shapes_for_outputs(ret)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\ops.py", line 2209, in set_shapes_for_outputs
shapes = shape_func(op)
File "C:\ProgramData\Anaconda3\envs\magenta\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:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 627, in call_cpp_shape_fn
require_shape_fn)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 691, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimensions must be equal, but are 512 and 261 for 'rnn_mdn_1/rnn_mdn/multi_rnn_cell/cell_0/cell_0/basic_lstm_cell/MatMul_1' (op: 'MatMul') with input shapes: [1,512], [261,1024].
Could you tell me how to solve it? Thank you very much!
The text was updated successfully, but these errors were encountered:
When I run the sample.py, an error occurred:
Traceback (most recent call last):
File "sample.py", line 57, in
model = Model(saved_args, True)
File "C:\YMJ\download_pro\magenta-master\magenta\models\sketch_rnn\sketch-rnn-master\model.py", line 93, in init
outputs, states = custom_rnn_autodecoder(inputs, self.initial_input, self.initial_state, cell, scope='rnn_mdn')
File "C:\YMJ\download_pro\magenta-master\magenta\models\sketch_rnn\sketch-rnn-master\model.py", line 71, in custom_rnn_autodecoder
output, new_state = cell(inp, states[-1])
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\layers\base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 1066, in call
cur_inp, new_state = cell(cur_inp, cur_state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 183, in call
return super(RNNCell, self).call(inputs, state)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\layers\base.py", line 575, in call
outputs = self.call(inputs, *args, **kwargs)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 441, in call
value=self._linear([inputs, h]), num_or_size_splits=4, axis=1)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\rnn_cell_impl.py", line 1189, in call
res = math_ops.matmul(array_ops.concat(args, 1), self._weights)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1891, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 2436, in _mat_mul
name=name)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\ops.py", line 2958, in create_op
set_shapes_for_outputs(ret)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\ops.py", line 2209, in set_shapes_for_outputs
shapes = shape_func(op)
File "C:\ProgramData\Anaconda3\envs\magenta\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:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 627, in call_cpp_shape_fn
require_shape_fn)
File "C:\ProgramData\Anaconda3\envs\magenta\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 691, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimensions must be equal, but are 512 and 261 for 'rnn_mdn_1/rnn_mdn/multi_rnn_cell/cell_0/cell_0/basic_lstm_cell/MatMul_1' (op: 'MatMul') with input shapes: [1,512], [261,1024].
Could you tell me how to solve it? Thank you very much!
The text was updated successfully, but these errors were encountered: