'RaggedTensor' + size mismatch

[Aisha Jaddoh]

Hello ,

When running test.py using python test.py --model_architecture ds_cnn --model_size_info 5 64 10 4 2 2 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 --dct_coefficient_count 10 --window_size_ms 40 --window_stride_ms 20 --checkpoint ../Pretrained_models/DS_CNN/DS_CNN_S/ckpt/ds_cnn_0.94_ckpt
I get the following errors

`Untarring speech_commands_v0.02.tar.gz...
Running testing on validation set...
Traceback (most recent call last):
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
return target(*args, **kwargs)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1838, in tensor_not_equals
return gen_math_ops.not_equal(self, other, incompatible_shape_error=False)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 6573, in not_equal
ctx=_ctx)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 6601, in not_equal_eager_fallback
_attr_T, _inputs_T = _execute.args_to_matching_eager([x, y], ctx, [])
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\eager\execute.py", line 280, in args_to_matching_eager
ret = [ops.convert_to_tensor(t, dtype, ctx=ctx) for t in l]
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\eager\execute.py", line 280, in
ret = [ops.convert_to_tensor(t, dtype, ctx=ctx) for t in l]
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\profiler\trace.py", line 163, in wrapped
return func(*args, **kwargs)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\ops.py", line 1566, in convert_to_tensor
ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 339, in _constant_tensor_conversion_function
return constant(v, dtype=dtype, name=name)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 265, in constant
allow_broadcast=True)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 276, in _constant_impl
return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 301, in _constant_eager_impl
t = convert_to_eager_tensor(value, ctx, dtype)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\framework\constant_op.py", line 98, in convert_to_eager_tensor
return ops.EagerTensor(value, ctx.device_name, dtype)
ValueError: TypeError: object of type 'RaggedTensor' has no len()

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "test.py", line 182, in
test()
File "test.py", line 48, in test
val_data = audio_processor.get_data(audio_processor.Modes.VALIDATION).batch(FLAGS.batch_size)
File "C:\Users\x\Dropbox\Documents\x\Coding\KWS\tflu-kws-cortex-m\Training\data.py", line 190, in get_data
use_background = (self.background_data != []) and (mode == AudioProcessor.Modes.TRAINING)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\dispatch.py", line 210, in wrapper
result = dispatch(wrapper, args, kwargs)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\dispatch.py", line 122, in dispatch
result = dispatcher.handle(args, kwargs)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\ragged\ragged_dispatch.py", line 219, in handle
ragged_tensor_shape.RaggedTensorDynamicShape.from_tensor(y))
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\ragged\ragged_tensor_shape.py", line 470, in broadcast_dynamic_shape
shape_x = shape_x.broadcast_dimension(axis, shape_y.dimension_size(axis))
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\ragged\ragged_tensor_shape.py", line 351, in broadcast_dimension
condition, data=broadcast_err, summarize=10)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
return target(*args, **kwargs)
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\util\tf_should_use.py", line 247, in wrapped
return _add_should_use_warning(fn(*args, **kwargs),
File "C:\Users\x\anaconda3\envs\newenvt\lib\site-packages\tensorflow\python\ops\control_flow_ops.py", line 164, in Assert
(condition, "\n".join(data_str)))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Expected 'tf.Tensor(False, shape=(), dtype=bool)' to be true. Summarized data: b'Unable to broadcast: dimension size mismatch in dimension'
1
b'lengths='
0
b'dim_size='
1522930, 988891, 980062, 960000, 978488, 960000`

[Richard]

Hi there,

The version of the repository you are using has a requirement of TensorFlow 2.3.0 (See requirements.txt), using newer versions of TensorFlow you will get the bug you have encountered.

We have recently pushed an update and fix for the above issue you have so it if you pull the latest version of this repository you should get this fix and shouldn't see this issue anymore either.