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ModelZoo
ResNet50_tensorflow
Commits
1e788762
Commit
1e788762
authored
Mar 23, 2022
by
Yilei Yang
Committed by
A. Unique TensorFlower
Mar 23, 2022
Browse files
Internal change
PiperOrigin-RevId: 436824079
parent
7954d4b1
Changes
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official/legacy/detection/modeling/architecture/spinenet.py
official/legacy/detection/modeling/architecture/spinenet.py
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official/legacy/image_classification/efficientnet/efficientnet_config.py
.../image_classification/efficientnet/efficientnet_config.py
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-1
official/legacy/image_classification/efficientnet/efficientnet_model.py
...y/image_classification/efficientnet/efficientnet_model.py
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-1
official/legacy/image_classification/resnet/resnet_config.py
official/legacy/image_classification/resnet/resnet_config.py
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-1
official/nlp/modeling/layers/gaussian_process.py
official/nlp/modeling/layers/gaussian_process.py
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-1
official/nlp/modeling/layers/gaussian_process_test.py
official/nlp/modeling/layers/gaussian_process_test.py
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-1
official/projects/assemblenet/configs/assemblenet.py
official/projects/assemblenet/configs/assemblenet.py
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-1
official/projects/assemblenet/configs/assemblenet_test.py
official/projects/assemblenet/configs/assemblenet_test.py
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-1
official/projects/assemblenet/train.py
official/projects/assemblenet/train.py
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-1
official/projects/assemblenet/train_test.py
official/projects/assemblenet/train_test.py
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-1
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official/legacy/detection/modeling/architecture/spinenet.py
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1e788762
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# 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.
# Lint as: python3
# ==============================================================================
# ==============================================================================
"""Implementation of SpineNet model.
"""Implementation of SpineNet model.
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official/legacy/image_classification/efficientnet/efficientnet_config.py
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# 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.
# Lint as: python3
"""Configuration definitions for EfficientNet losses, learning rates, and optimizers."""
"""Configuration definitions for EfficientNet losses, learning rates, and optimizers."""
from
__future__
import
absolute_import
from
__future__
import
absolute_import
from
__future__
import
division
from
__future__
import
division
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official/legacy/image_classification/efficientnet/efficientnet_model.py
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1e788762
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# 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.
# Lint as: python3
"""Contains definitions for EfficientNet model.
"""Contains definitions for EfficientNet model.
[1] Mingxing Tan, Quoc V. Le
[1] Mingxing Tan, Quoc V. Le
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official/legacy/image_classification/resnet/resnet_config.py
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1e788762
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# 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.
# Lint as: python3
"""Configuration definitions for ResNet losses, learning rates, and optimizers."""
"""Configuration definitions for ResNet losses, learning rates, and optimizers."""
from
__future__
import
absolute_import
from
__future__
import
absolute_import
from
__future__
import
division
from
__future__
import
division
...
...
official/nlp/modeling/layers/gaussian_process.py
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1e788762
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# 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.
# Lint as: python3
"""Definitions for random feature Gaussian process layer."""
"""Definitions for random feature Gaussian process layer."""
import
math
import
math
import
tensorflow
as
tf
import
tensorflow
as
tf
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official/nlp/modeling/layers/gaussian_process_test.py
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1e788762
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# 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.
# Lint as: python3
"""Tests for Gaussian process functions."""
"""Tests for Gaussian process functions."""
import
os
import
os
import
shutil
import
shutil
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official/projects/assemblenet/configs/assemblenet.py
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1e788762
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# 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.
# Lint as: python3
"""Definitions for AssembleNet/++ structures.
"""Definitions for AssembleNet/++ structures.
This structure is a `list` corresponding to a graph representation of the
This structure is a `list` corresponding to a graph representation of the
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official/projects/assemblenet/configs/assemblenet_test.py
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# 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.
# Lint as: python3
from
absl.testing
import
parameterized
from
absl.testing
import
parameterized
import
tensorflow
as
tf
import
tensorflow
as
tf
from
official.core
import
config_definitions
as
cfg
from
official.core
import
config_definitions
as
cfg
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official/projects/assemblenet/train.py
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1e788762
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# 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.
# Lint as: python3
r
"""Training driver.
r
"""Training driver.
Commandline:
Commandline:
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official/projects/assemblenet/train_test.py
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1e788762
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# 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.
# Lint as: python3
import
json
import
json
import
os
import
os
import
random
import
random
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