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Anthony Larcher
sidekit
Commits
28205f33
Commit
28205f33
authored
Apr 13, 2021
by
Anthony Larcher
Browse files
merge and sidesampler
parent
c11e4144
Changes
3
Hide whitespace changes
Inline
Side-by-side
nnet/preprocessor.py
View file @
28205f33
...
...
@@ -211,6 +211,7 @@ class MelSpecFrontEnd(torch.nn.Module):
"""
:param x:
:param is_eval:
:return:
"""
with
torch
.
no_grad
():
...
...
nnet/xsets.py
View file @
28205f33
...
...
@@ -154,7 +154,7 @@ class SideSampler(torch.utils.data.Sampler):
return
iter
(
self
.
index_iterator
)
def
__len__
(
self
)
->
int
:
return
(
self
.
samples_per_speaker
*
self
.
spk_count
*
self
.
examples_per_speaker
)
//
self
.
num_replicas
return
(
self
.
samples_per_speaker
*
self
.
spk_count
*
self
.
examples_per_speaker
*
self
.
num_replicas
)
//
self
.
num_process
def
set_epoch
(
self
,
epoch
:
int
)
->
None
:
self
.
epoch
=
epoch
...
...
nnet/xvector.py
View file @
28205f33
...
...
@@ -863,9 +863,9 @@ def update_training_dictionary(dataset_description,
dataset_opts
[
"batch_size"
]
=
64
dataset_opts
[
"train"
]
=
dict
()
dataset_opts
[
"train"
][
"duration"
]
=
2
.
dataset_opts
[
"train"
][
"duration"
]
=
4
.
dataset_opts
[
"train"
][
"chunk_per_segment"
]
=
-
1
dataset_opts
[
"train"
][
"overlap"
]
=
1
.9
dataset_opts
[
"train"
][
"overlap"
]
=
3
.9
dataset_opts
[
"train"
][
"sampler"
]
=
dict
()
dataset_opts
[
"train"
][
"sampler"
][
"examples_per_speaker"
]
=
1
dataset_opts
[
"train"
][
"sampler"
][
"samples_per_speaker"
]
=
100
...
...
@@ -944,7 +944,6 @@ def update_training_dictionary(dataset_description,
training_opts
[
"best_model_name"
]
=
"best_model.pt"
training_opts
[
"checkpoint_frequency"
]
=
"10"
# Use options from the YAML config files
fill_dict
(
dataset_opts
,
tmp_data_dict
)
fill_dict
(
model_opts
,
tmp_model_dict
)
...
...
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