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Restrict configurable parameters to avoid unreasonable cost for SaaS trial #2891

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merged 3 commits into from
Feb 8, 2024
Merged

Restrict configurable parameters to avoid unreasonable cost for SaaS trial #2891

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1125bb4
Reduce max value of POT samples to 1k
harimkang Feb 6, 2024
1535d30
Reduce max value of num_iters to 1k
harimkang Feb 6, 2024
ac77a0d
Fix pre-commit
harimkang Feb 6, 2024
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4 changes: 2 additions & 2 deletions src/otx/algorithms/action/configs/classification/configuration.yaml
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Expand Up @@ -74,7 +74,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -354,7 +354,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/action/configs/detection/configuration.yaml
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Expand Up @@ -74,7 +74,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -354,7 +354,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 1 addition & 3 deletions src/otx/algorithms/anomaly/configs/base/configuration.py
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Expand Up @@ -14,8 +14,6 @@
# See the License for the specific language governing permissions
# and limitations under the License.

from sys import maxsize

from attr import attrs

from otx.algorithms.anomaly.configs.base.configuration_enums import (
Expand Down Expand Up @@ -97,7 +95,7 @@ class POTParameters(ParameterGroup):
description="Number of data samples used for post-training optimization",
default_value=300,
min_value=1,
max_value=maxsize,
max_value=1000,
)

@attrs
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2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/classification/draem/configuration.yaml
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Expand Up @@ -226,7 +226,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/classification/padim/configuration.yaml
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Expand Up @@ -166,7 +166,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/classification/stfpm/configuration.yaml
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Expand Up @@ -295,7 +295,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/detection/draem/configuration.yaml
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Expand Up @@ -226,7 +226,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/detection/padim/configuration.yaml
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Expand Up @@ -166,7 +166,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/detection/stfpm/configuration.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -295,7 +295,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/segmentation/draem/configuration.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -226,7 +226,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/segmentation/padim/configuration.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -166,7 +166,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/anomaly/configs/segmentation/stfpm/configuration.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -295,7 +295,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/classification/configs/configuration.yaml
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Expand Up @@ -92,7 +92,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -335,7 +335,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/classification/configs/efficientnet_b0_cls_incr/selfsl/hparam.yaml
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Expand Up @@ -13,7 +13,7 @@ hyper_parameters:
learning_rate_warmup_iters:
default_value: 50
num_iters:
default_value: 5000
default_value: 1000
enable_early_stopping:
default_value: false
use_adaptive_interval:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/classification/configs/efficientnet_v2_s_cls_incr/selfsl/hparam.yaml
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Expand Up @@ -13,7 +13,7 @@ hyper_parameters:
learning_rate_warmup_iters:
default_value: 50
num_iters:
default_value: 5000
default_value: 1000
enable_early_stopping:
default_value: false
use_adaptive_interval:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/classification/configs/mobilenet_v3_large_075_cls_incr/selfsl/hparam.yaml
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Expand Up @@ -13,7 +13,7 @@ hyper_parameters:
learning_rate_warmup_iters:
default_value: 50
num_iters:
default_value: 5000
default_value: 1000
enable_early_stopping:
default_value: false
use_adaptive_interval:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/classification/configs/mobilenet_v3_large_1_cls_incr/selfsl/hparam.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ hyper_parameters:
learning_rate_warmup_iters:
default_value: 50
num_iters:
default_value: 5000
default_value: 1000
enable_early_stopping:
default_value: false
use_adaptive_interval:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/classification/configs/mobilenet_v3_small_cls_incr/selfsl/hparam.yaml
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Expand Up @@ -13,7 +13,7 @@ hyper_parameters:
learning_rate_warmup_iters:
default_value: 50
num_iters:
default_value: 5000
default_value: 1000
enable_early_stopping:
default_value: false
use_adaptive_interval:
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/common/configs/training_base.py
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Expand Up @@ -95,7 +95,7 @@ class BaseLearningParameters(ParameterGroup):
num_iters = configurable_integer(
default_value=1,
min_value=1,
max_value=100000,
max_value=1000,
header="Number of training iterations",
description="Increasing this value causes the results to be more robust but training time will be longer.",
affects_outcome_of=ModelLifecycle.TRAINING,
Expand Down Expand Up @@ -291,7 +291,7 @@ class BasePOTParameter(ParameterGroup):
description="Number of data samples used for post-training optimization",
default_value=300,
min_value=1,
max_value=100000,
max_value=1000,
)

stat_requests_number = configurable_integer(
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/detection/configs/detection/configuration.yaml
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Expand Up @@ -96,7 +96,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -454,7 +454,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/detection/configs/instance_segmentation/configuration.yaml
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Expand Up @@ -96,7 +96,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -439,7 +439,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/detection/configs/rotated_detection/configuration.yaml
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Expand Up @@ -96,7 +96,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -424,7 +424,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
4 changes: 1 addition & 3 deletions src/otx/algorithms/segmentation/configs/base/configuration.py
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Expand Up @@ -15,8 +15,6 @@
# and limitations under the License.


from sys import maxsize

from attr import attrs

from otx.algorithms.common.configs import (
Expand Down Expand Up @@ -102,7 +100,7 @@ class __POTParameter(BaseConfig.BasePOTParameter):
description="Number of data samples used for post-training optimization",
default_value=300,
min_value=1,
max_value=maxsize,
max_value=1000,
)

preset = selectable(
Expand Down
4 changes: 2 additions & 2 deletions src/otx/algorithms/segmentation/configs/configuration.yaml
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Expand Up @@ -79,7 +79,7 @@ learning_parameters:
time will be longer.
editable: true
header: Number of training iterations
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down Expand Up @@ -391,7 +391,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: True
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/visual_prompting/configs/configuration.yaml
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Expand Up @@ -117,7 +117,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
2 changes: 1 addition & 1 deletion src/otx/algorithms/visual_prompting/configs/zero_shot_sam_tiny_vit/configuration.yaml
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Expand Up @@ -92,7 +92,7 @@ pot_parameters:
description: Number of data samples used for post-training optimization
editable: true
header: Number of data samples
max_value: 100000
max_value: 1000
min_value: 1
type: INTEGER
ui_rules:
Expand Down
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