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chenpangpang
transformers
Commits
9eae4aa5
Unverified
Commit
9eae4aa5
authored
Apr 03, 2023
by
Eli Simhayev
Committed by
GitHub
Apr 03, 2023
Browse files
[Time-Series] fix past_observed_mask type (#22076)
added > 0.5 to `past_observed_mask`
parent
559a45d1
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and
2 deletions
+2
-2
tests/models/informer/test_modeling_informer.py
tests/models/informer/test_modeling_informer.py
+1
-1
tests/models/time_series_transformer/test_modeling_time_series_transformer.py
...ries_transformer/test_modeling_time_series_transformer.py
+1
-1
No files found.
tests/models/informer/test_modeling_informer.py
View file @
9eae4aa5
...
@@ -117,7 +117,7 @@ class InformerModelTester:
...
@@ -117,7 +117,7 @@ class InformerModelTester:
past_time_features
=
floats_tensor
([
self
.
batch_size
,
_past_length
,
config
.
num_time_features
])
past_time_features
=
floats_tensor
([
self
.
batch_size
,
_past_length
,
config
.
num_time_features
])
past_values
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_values
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_observed_mask
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_observed_mask
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
>
0.5
# decoder inputs
# decoder inputs
future_time_features
=
floats_tensor
([
self
.
batch_size
,
config
.
prediction_length
,
config
.
num_time_features
])
future_time_features
=
floats_tensor
([
self
.
batch_size
,
config
.
prediction_length
,
config
.
num_time_features
])
...
...
tests/models/time_series_transformer/test_modeling_time_series_transformer.py
View file @
9eae4aa5
...
@@ -114,7 +114,7 @@ class TimeSeriesTransformerModelTester:
...
@@ -114,7 +114,7 @@ class TimeSeriesTransformerModelTester:
past_time_features
=
floats_tensor
([
self
.
batch_size
,
_past_length
,
config
.
num_time_features
])
past_time_features
=
floats_tensor
([
self
.
batch_size
,
_past_length
,
config
.
num_time_features
])
past_values
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_values
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_observed_mask
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
past_observed_mask
=
floats_tensor
([
self
.
batch_size
,
_past_length
])
>
0.5
# decoder inputs
# decoder inputs
future_time_features
=
floats_tensor
([
self
.
batch_size
,
config
.
prediction_length
,
config
.
num_time_features
])
future_time_features
=
floats_tensor
([
self
.
batch_size
,
config
.
prediction_length
,
config
.
num_time_features
])
...
...
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