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I am getting this issue when running python3 -m tests.test_nn_conformer
This is the error backtrace:
EXCEPTION
Traceback (most recent call last):
File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/runpy.py", line 193, in _run_module_as_main
line: return _run_code(code, main_globals, None,
"__main__", mod_spec)
locals:
_run_code = <global> <function _run_code at 0x10a6caa60>
code = <local> <code object <module> at 0x10a689930, file "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py", line 3>
main_globals = <local> {'__name__': '__main__', '__doc__': '\nTest nn.conformer.\n', '__package__': 'returnn_common.tests', '__loader__': <_frozen_importlib_external.SourceFileLoader object at 0x10a737240>, '__spec__': ModuleSpec(name='tests.test_nn_conformer', loader=<_frozen_importlib_external.SourceFileLoader object..., len = 10
mod_spec = <local> ModuleSpec(name='tests.test_nn_conformer', loader=<_frozen_importlib_external.SourceFileLoader object at 0x10a737240>, origin='/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py')
File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/runpy.py", line 85, in _run_code
line: exec(code, run_globals)
locals:
exec = <builtin> <built-in function exec>
code = <local> <code object <module> at 0x10a689930, file "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py", line 3>
run_globals = <local> {'__name__': '__main__', '__doc__': '\nTest nn.conformer.\n', '__package__': 'returnn_common.tests', '__loader__': <_frozen_importlib_external.SourceFileLoader object at 0x10a737240>, '__spec__': ModuleSpec(name='tests.test_nn_conformer', loader=<_frozen_importlib_external.SourceFileLoader object..., len = 10
File "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py", line 7, in <module>
line: from . import _setup_test_env # noqa
locals:
from = <not found>
from.import = <not found>
_setup_test_env = <not found>
File "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/_setup_test_env.py", line 307, in <module>
line: setup()
locals:
setup = <local> <function setup at 0x10a71f158>
File "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/_setup_test_env.py", line 134, in setup
line: _main(main_mod_)
locals:
_main = <global> <function _main at 0x10a71f6a8>
main_mod_ = <local> <module 'returnn_common.tests.test_nn_conformer' from '/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py'>
File "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/_setup_test_env.py", line 298, in _main
line: value()
locals:
value = <local> <function test_nn_conformer at 0x1585daa60>
File "/Users/mzeineldeen/Desktop/dev/returnn_common/tests/test_nn_conformer.py", line 39, in test_nn_conformer
line: out, _ = conformer(data, in_spatial_dim=time_dim)
locals:
out = <not found>
_ = <not found>
conformer = <local> <ConformerEncoder>
data = <local> <Tensor /'data:data' [B,T|'time'[B],F|F'input'(10)]>
in_spatial_dim = <not found>
time_dim = <local> Dim{'time'[B]}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/conformer.py", line 278, in ConformerEncoder.__call__
line: x = self.layers(x, axis=out_spatial_dim)
locals:
x = <local> <Tensor /'conformer_encoder'/'dropout' [B,T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|F'out'(14)] via 'dropout'>
self = <local> <ConformerEncoder>
self.layers = <local> <Sequential>, len = 2
axis = <not found>
out_spatial_dim = <local> Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B]}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/container.py", line 80, in Sequential.__call__
line: inp = module(inp, **kwargs)
locals:
inp = <local> <Tensor /'conformer_encoder'/'dropout' [B,T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|F'out'(14)] via 'dropout'>
module = <local> <ConformerEncoderLayer>
kwargs = <local> {'axis': Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B]}}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/conformer.py", line 203, in ConformerEncoderLayer.__call__
line: x_mhsa = self.self_att(x_mhsa_ln, axis=axis)
locals:
x_mhsa = <not found>
self = <local> <ConformerEncoderLayer>
self.self_att = <local> <RelPosSelfAttention>
x_mhsa_ln = <local> <Tensor /'conformer_encoder'/'layers'/'0'/'self_att_layer_norm'/'add_0'/'combine'/'add' [B,T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|F'out'(14)] via 'combine'>
axis = <local> Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B]}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/attention.py", line 204, in RelPosSelfAttention.__call__
line: matrix_bd = self._rel_shift(matrix_bd, axis, pos_emb_spatial_dim, hist_dim)
locals:
matrix_bd = <local> <Tensor /'conformer_encoder'/'layers'/'0'/'self_att'/'dot_0' [T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|'num_heads'(2),B] via 'dot'>
self = <local> <RelPosSelfAttention>
self._rel_shift = <local> <bound method RelPosSelfAttention._rel_shift of <class 'returnn_common.nn.attention.RelPosSelfAttention'>>
axis = <local> Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B]}
pos_emb_spatial_dim = <local> Dim{'(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)+-1+(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)'[B]}
hist_dim = <local> Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0:kv'[?]}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/attention.py", line 226, in RelPosSelfAttention._rel_shift
line: batch_dims = x.batch_dims_ordered((axis, pos_emb_spatial_dim))
locals:
batch_dims = <not found>
x = <local> <Tensor /'conformer_encoder'/'layers'/'0'/'self_att'/'dot_0' [T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|'num_heads'(2),B] via 'dot'>
x.batch_dims_ordered = <local> <bound method Tensor.batch_dims_ordered of <Tensor /'conformer_encoder'/'layers'/'0'/'self_att'/'dot_0' [T|'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B],F|'num_heads'(2),B] via 'dot'>>
axis = <local> Dim{'conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0'[B]}
pos_emb_spatial_dim = <local> Dim{'(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)+-1+(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)'[B]}
File "/Users/mzeineldeen/Desktop/dev/returnn_common/nn/base.py", line 201, in Tensor.batch_dims_ordered
line: batch_dims.remove(remove_)
locals:
batch_dims = <local> [Dim{'num_heads'(2)}, Dim{B}]
batch_dims.remove = <local> <built-in method remove of list object at 0x1597f1308>
remove_ = <local> Dim{'(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)+-1+(conformer_encoder/conv_subsample_layer/pool2d_0/_pool_nd:out-spatial-dim0)'[B]}
ValueError: list.remove(x): x not in list
For some reason the input x does not have correct dim tags right? this should be matrix_bd which has shape (batch, head, time1, 2*time1-1) so the time dimension tags are missing.
The text was updated successfully, but these errors were encountered:
I am getting this issue when running
python3 -m tests.test_nn_conformer
This is the error backtrace:
For some reason the input
x
does not have correct dim tags right? this should bematrix_bd
which has shape(batch, head, time1, 2*time1-1)
so the time dimension tags are missing.The text was updated successfully, but these errors were encountered: