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75098698
编写于
2月 28, 2022
作者:
H
Hui Zhang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
format,test=doc
上级
54341c88
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
17 addition
and
27 deletion
+17
-27
paddlespeech/s2t/io/sampler.py
paddlespeech/s2t/io/sampler.py
+1
-1
paddlespeech/s2t/models/u2_st/u2_st.py
paddlespeech/s2t/models/u2_st/u2_st.py
+1
-3
paddlespeech/t2s/modules/transformer/repeat.py
paddlespeech/t2s/modules/transformer/repeat.py
+1
-1
tests/unit/asr/deepspeech2_online_model_test.py
tests/unit/asr/deepspeech2_online_model_test.py
+14
-22
未找到文件。
paddlespeech/s2t/io/sampler.py
浏览文件 @
75098698
...
@@ -51,7 +51,7 @@ def _batch_shuffle(indices, batch_size, epoch, clipped=False):
...
@@ -51,7 +51,7 @@ def _batch_shuffle(indices, batch_size, epoch, clipped=False):
"""
"""
rng
=
np
.
random
.
RandomState
(
epoch
)
rng
=
np
.
random
.
RandomState
(
epoch
)
shift_len
=
rng
.
randint
(
0
,
batch_size
-
1
)
shift_len
=
rng
.
randint
(
0
,
batch_size
-
1
)
batch_indices
=
list
(
zip
(
*
[
iter
(
indices
[
shift_len
:])]
*
batch_size
))
batch_indices
=
list
(
zip
(
*
[
iter
(
indices
[
shift_len
:])]
*
batch_size
))
rng
.
shuffle
(
batch_indices
)
rng
.
shuffle
(
batch_indices
)
batch_indices
=
[
item
for
batch
in
batch_indices
for
item
in
batch
]
batch_indices
=
[
item
for
batch
in
batch_indices
for
item
in
batch
]
assert
clipped
is
False
assert
clipped
is
False
...
...
paddlespeech/s2t/models/u2_st/u2_st.py
浏览文件 @
75098698
...
@@ -33,8 +33,6 @@ from paddlespeech.s2t.modules.decoder import TransformerDecoder
...
@@ -33,8 +33,6 @@ from paddlespeech.s2t.modules.decoder import TransformerDecoder
from
paddlespeech.s2t.modules.encoder
import
ConformerEncoder
from
paddlespeech.s2t.modules.encoder
import
ConformerEncoder
from
paddlespeech.s2t.modules.encoder
import
TransformerEncoder
from
paddlespeech.s2t.modules.encoder
import
TransformerEncoder
from
paddlespeech.s2t.modules.loss
import
LabelSmoothingLoss
from
paddlespeech.s2t.modules.loss
import
LabelSmoothingLoss
from
paddlespeech.s2t.modules.mask
import
mask_finished_preds
from
paddlespeech.s2t.modules.mask
import
mask_finished_scores
from
paddlespeech.s2t.modules.mask
import
subsequent_mask
from
paddlespeech.s2t.modules.mask
import
subsequent_mask
from
paddlespeech.s2t.utils
import
checkpoint
from
paddlespeech.s2t.utils
import
checkpoint
from
paddlespeech.s2t.utils
import
layer_tools
from
paddlespeech.s2t.utils
import
layer_tools
...
@@ -291,7 +289,7 @@ class U2STBaseModel(nn.Layer):
...
@@ -291,7 +289,7 @@ class U2STBaseModel(nn.Layer):
device
=
speech
.
place
device
=
speech
.
place
# Let's assume B = batch_size and N = beam_size
# Let's assume B = batch_size and N = beam_size
# 1. Encoder and init hypothesis
# 1. Encoder and init hypothesis
encoder_out
,
encoder_mask
=
self
.
_forward_encoder
(
encoder_out
,
encoder_mask
=
self
.
_forward_encoder
(
speech
,
speech_lengths
,
decoding_chunk_size
,
speech
,
speech_lengths
,
decoding_chunk_size
,
num_decoding_left_chunks
,
num_decoding_left_chunks
,
...
...
paddlespeech/t2s/modules/transformer/repeat.py
浏览文件 @
75098698
...
@@ -36,4 +36,4 @@ def repeat(N, fn):
...
@@ -36,4 +36,4 @@ def repeat(N, fn):
Returns:
Returns:
MultiSequential: Repeated model instance.
MultiSequential: Repeated model instance.
"""
"""
return
MultiSequential
(
*
[
fn
(
n
)
for
n
in
range
(
N
)])
return
MultiSequential
(
*
[
fn
(
n
)
for
n
in
range
(
N
)])
tests/unit/asr/deepspeech2_online_model_test.py
浏览文件 @
75098698
...
@@ -11,16 +11,17 @@
...
@@ -11,16 +11,17 @@
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# See the License for the specific language governing permissions and
# limitations under the License.
# limitations under the License.
import
os
import
pickle
import
unittest
import
unittest
import
numpy
as
np
import
numpy
as
np
import
paddle
import
paddle
import
pickle
import
os
from
paddle
import
inference
from
paddle
import
inference
from
paddlespeech.s2t.models.ds2_online
import
DeepSpeech2ModelOnline
from
paddlespeech.s2t.models.ds2_online
import
DeepSpeech2InferModelOnline
from
paddlespeech.s2t.models.ds2_online
import
DeepSpeech2InferModelOnline
from
paddlespeech.s2t.models.ds2_online
import
DeepSpeech2ModelOnline
class
TestDeepSpeech2ModelOnline
(
unittest
.
TestCase
):
class
TestDeepSpeech2ModelOnline
(
unittest
.
TestCase
):
def
setUp
(
self
):
def
setUp
(
self
):
...
@@ -185,15 +186,12 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
...
@@ -185,15 +186,12 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
paddle
.
allclose
(
final_state_c_box
,
final_state_c_box_chk
),
True
)
paddle
.
allclose
(
final_state_c_box
,
final_state_c_box_chk
),
True
)
class
TestDeepSpeech2StaticModelOnline
(
unittest
.
TestCase
):
class
TestDeepSpeech2StaticModelOnline
(
unittest
.
TestCase
):
def
setUp
(
self
):
def
setUp
(
self
):
export_prefix
=
"exp/deepspeech2_online/checkpoints/test_export"
export_prefix
=
"exp/deepspeech2_online/checkpoints/test_export"
if
not
os
.
path
.
exists
(
os
.
path
.
dirname
(
export_prefix
)):
if
not
os
.
path
.
exists
(
os
.
path
.
dirname
(
export_prefix
)):
os
.
makedirs
(
os
.
path
.
dirname
(
export_prefix
),
mode
=
0o755
)
os
.
makedirs
(
os
.
path
.
dirname
(
export_prefix
),
mode
=
0o755
)
infer_model
=
DeepSpeech2InferModelOnline
(
infer_model
=
DeepSpeech2InferModelOnline
(
feat_size
=
161
,
feat_size
=
161
,
dict_size
=
4233
,
dict_size
=
4233
,
num_conv_layers
=
2
,
num_conv_layers
=
2
,
...
@@ -207,27 +205,25 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
...
@@ -207,27 +205,25 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
with
open
(
"test_data/static_ds2online_inputs.pickle"
,
"rb"
)
as
f
:
with
open
(
"test_data/static_ds2online_inputs.pickle"
,
"rb"
)
as
f
:
self
.
data_dict
=
pickle
.
load
(
f
)
self
.
data_dict
=
pickle
.
load
(
f
)
self
.
setup_model
(
export_prefix
)
self
.
setup_model
(
export_prefix
)
def
setup_model
(
self
,
export_prefix
):
def
setup_model
(
self
,
export_prefix
):
deepspeech_config
=
inference
.
Config
(
deepspeech_config
=
inference
.
Config
(
export_prefix
+
".pdmodel"
,
export_prefix
+
".pdmodel"
,
export_prefix
+
".pdiparams"
)
export_prefix
+
".pdiparams"
)
if
(
'CUDA_VISIBLE_DEVICES'
in
os
.
environ
.
keys
()
and
if
(
'CUDA_VISIBLE_DEVICES'
in
os
.
environ
.
keys
()
and
os
.
environ
[
'CUDA_VISIBLE_DEVICES'
].
strip
()
!=
''
):
os
.
environ
[
'CUDA_VISIBLE_DEVICES'
].
strip
()
!=
''
):
deepspeech_config
.
enable_use_gpu
(
100
,
0
)
deepspeech_config
.
enable_use_gpu
(
100
,
0
)
deepspeech_config
.
enable_memory_optim
()
deepspeech_config
.
enable_memory_optim
()
deepspeech_predictor
=
inference
.
create_predictor
(
deepspeech_config
)
deepspeech_predictor
=
inference
.
create_predictor
(
deepspeech_config
)
self
.
predictor
=
deepspeech_predictor
self
.
predictor
=
deepspeech_predictor
def
test_unit
(
self
):
def
test_unit
(
self
):
input_names
=
self
.
predictor
.
get_input_names
()
input_names
=
self
.
predictor
.
get_input_names
()
audio_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
0
])
audio_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
0
])
audio_len_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
1
])
audio_len_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
1
])
h_box_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
2
])
h_box_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
2
])
c_box_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
3
])
c_box_handle
=
self
.
predictor
.
get_input_handle
(
input_names
[
3
])
x_chunk
=
self
.
data_dict
[
"audio_chunk"
]
x_chunk
=
self
.
data_dict
[
"audio_chunk"
]
x_chunk_lens
=
self
.
data_dict
[
"audio_chunk_lens"
]
x_chunk_lens
=
self
.
data_dict
[
"audio_chunk_lens"
]
...
@@ -246,13 +242,9 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
...
@@ -246,13 +242,9 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
c_box_handle
.
reshape
(
chunk_state_c_box
.
shape
)
c_box_handle
.
reshape
(
chunk_state_c_box
.
shape
)
c_box_handle
.
copy_from_cpu
(
chunk_state_c_box
)
c_box_handle
.
copy_from_cpu
(
chunk_state_c_box
)
output_names
=
self
.
predictor
.
get_output_names
()
output_names
=
self
.
predictor
.
get_output_names
()
output_handle
=
self
.
predictor
.
get_output_handle
(
output_handle
=
self
.
predictor
.
get_output_handle
(
output_names
[
0
])
output_names
[
0
])
output_lens_handle
=
self
.
predictor
.
get_output_handle
(
output_names
[
1
])
output_lens_handle
=
self
.
predictor
.
get_output_handle
(
output_names
[
1
])
output_state_h_handle
=
self
.
predictor
.
get_output_handle
(
output_state_h_handle
=
self
.
predictor
.
get_output_handle
(
output_names
[
2
])
output_names
[
2
])
output_state_c_handle
=
self
.
predictor
.
get_output_handle
(
output_state_c_handle
=
self
.
predictor
.
get_output_handle
(
...
@@ -264,7 +256,7 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
...
@@ -264,7 +256,7 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
chunk_state_h_box
=
output_state_h_handle
.
copy_to_cpu
()
chunk_state_h_box
=
output_state_h_handle
.
copy_to_cpu
()
chunk_state_c_box
=
output_state_c_handle
.
copy_to_cpu
()
chunk_state_c_box
=
output_state_c_handle
.
copy_to_cpu
()
return
True
return
True
if
__name__
==
'__main__'
:
if
__name__
==
'__main__'
:
unittest
.
main
()
unittest
.
main
()
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