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ModelZoo
ResNet50_tensorflow
Commits
93cdbaf5
Commit
93cdbaf5
authored
May 21, 2021
by
stephenwu
Browse files
fixed minor changes
parent
e748d785
Changes
2
Show whitespace changes
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2 changed files
with
5 additions
and
12 deletions
+5
-12
official/nlp/finetuning/binary_helper.py
official/nlp/finetuning/binary_helper.py
+2
-9
official/nlp/finetuning/superglue/flags.py
official/nlp/finetuning/superglue/flags.py
+3
-3
No files found.
official/nlp/finetuning/binary_helper.py
View file @
93cdbaf5
...
@@ -315,9 +315,7 @@ def write_superglue_classification(task,
...
@@ -315,9 +315,7 @@ def write_superglue_classification(task,
predict_batch_size
,
predict_batch_size
,
seq_length
,
seq_length
,
class_names
,
class_names
,
label_type
=
'int'
,
label_type
=
'int'
):
min_float_value
=
None
,
max_float_value
=
None
):
"""Makes classification predictions for superglue and writes to output file.
"""Makes classification predictions for superglue and writes to output file.
Args:
Args:
...
@@ -329,12 +327,7 @@ def write_superglue_classification(task,
...
@@ -329,12 +327,7 @@ def write_superglue_classification(task,
seq_length: Input sequence length.
seq_length: Input sequence length.
class_names: List of string class names.
class_names: List of string class names.
label_type: String denoting label type ('int', 'float'), defaults to 'int'.
label_type: String denoting label type ('int', 'float'), defaults to 'int'.
min_float_value: If set, predictions will be min-clipped to this value (only
for regression when `label_type` is set to 'float'). Defaults to `None`
(no clipping).
max_float_value: If set, predictions will be max-clipped to this value (only
for regression when `label_type` is set to 'float'). Defaults to `None`
(no clipping).
"""
"""
if
label_type
not
in
(
'int'
):
if
label_type
not
in
(
'int'
):
raise
ValueError
(
'Unsupported `label_type`. Given: %s, expected `int` or '
raise
ValueError
(
'Unsupported `label_type`. Given: %s, expected `int` or '
...
...
official/nlp/finetuning/superglue/flags.py
View file @
93cdbaf5
...
@@ -12,7 +12,7 @@
...
@@ -12,7 +12,7 @@
# 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.
"""Common flags for GLUE finetuning binary."""
"""Common flags for
Super
GLUE finetuning binary."""
from
typing
import
Callable
from
typing
import
Callable
from
absl
import
flags
from
absl
import
flags
...
@@ -23,7 +23,7 @@ def define_flags():
...
@@ -23,7 +23,7 @@ def define_flags():
"""Defines flags."""
"""Defines flags."""
# ===========================================================================
# ===========================================================================
# Glue binary flags.
#
Super
Glue binary flags.
# ===========================================================================
# ===========================================================================
flags
.
DEFINE_enum
(
flags
.
DEFINE_enum
(
'mode'
,
'train_eval_and_predict'
,
'mode'
,
'train_eval_and_predict'
,
...
@@ -38,7 +38,7 @@ def define_flags():
...
@@ -38,7 +38,7 @@ def define_flags():
flags
.
DEFINE_enum
(
'task_name'
,
None
,
[
flags
.
DEFINE_enum
(
'task_name'
,
None
,
[
'AX-b'
,
'CB'
,
'COPA'
,
'MULTIRC'
,
'RTE'
,
'WiC'
,
'WSC'
,
'AX-b'
,
'CB'
,
'COPA'
,
'MULTIRC'
,
'RTE'
,
'WiC'
,
'WSC'
,
'BoolQ'
,
'ReCoRD'
,
'AX-g'
,
'BoolQ'
,
'ReCoRD'
,
'AX-g'
,
],
'The type of GLUE task.'
)
],
'The type of
Super
GLUE task.'
)
flags
.
DEFINE_string
(
'train_input_path'
,
None
,
flags
.
DEFINE_string
(
'train_input_path'
,
None
,
'The file path to the training data.'
)
'The file path to the training data.'
)
...
...
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