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Deci-AI
/
super-gradients
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#462 fix documentation scripts

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Ghost merged 1 commits into Deci-AI:master from deci-ai:feature/sg-19_fix_documentation_scripts
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super-gradients
55 changed files with 142 additions and 1292 deletions
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@@ -12,21 +12,25 @@
 
 #
 
 #
 
 import os
 
 import os
 
 import sys
 
 import sys
 
-sys.path.insert(0, os.path.abspath('../../src'))
 
+
 
+# Imports for auto documentation
 
+import super_gradients
 
+import super_gradients.common as common
 
+import super_gradients.training as training
 
+
 
+__all__ = ["super_gradients", "common", "training"]
 
+
 
+sys.path.insert(0, os.path.abspath("../../src"))
 
 
 
 # -- Project information -----------------------------------------------------
 
 # -- Project information -----------------------------------------------------
 
 
 
-project = 'SuperGradients'
 
-copyright = '2021, SuperGradients team'
 
-author = 'SuperGradients team'
 
+project = "SuperGradients"
 
+copyright = "2021, SuperGradients team"
 
+author = "SuperGradients team"
 
 
 
 # The full version, including alpha/beta/rc tags
 
 # The full version, including alpha/beta/rc tags
 
-release = '1.0'
 
+release = "3.0.2"
 
 
 
-# Imports for auto documentation
 
-import super_gradients
 
-import super_gradients.common
 
-import super_gradients.training
 
 
 
 # -- General configuration ---------------------------------------------------
 
 # -- General configuration ---------------------------------------------------
 
 
 
@@ -37,18 +41,18 @@ import super_gradients.training
 
 extensions = []
 
 extensions = []
 
 
 
 autodoc_default_options = {
 
 autodoc_default_options = {
 
-    'member-order': 'bysource',
 
+    "member-order": "bysource",
 
 }
 
 }
 
 
 
 # Add any paths that contain templates here, relative to this directory.
 
 # Add any paths that contain templates here, relative to this directory.
 
-templates_path = ['_templates']
 
+templates_path = ["_templates"]
 
 
 
 # List of patterns, relative to source directory, that match files and
 
 # List of patterns, relative to source directory, that match files and
 
 # directories to ignore when looking for source files.
 
 # directories to ignore when looking for source files.
 
 # This pattern also affects html_static_path and html_extra_path.
 
 # This pattern also affects html_static_path and html_extra_path.
 
 exclude_patterns = []
 
 exclude_patterns = []
 
 
 
-pygments_style = 'sphinx'
 
+pygments_style = "sphinx"
 
 todo_include_todos = False
 
 todo_include_todos = False
 
 
 
 # -- Options for HTML output -------------------------------------------------
 
 # -- Options for HTML output -------------------------------------------------
 
@@ -57,29 +61,32 @@ todo_include_todos = False
 
 # a list of builtin themes.
 
 # a list of builtin themes.
 
 #
 
 #
 
 
 
-extensions.append('sphinx.ext.todo')
 
-extensions.append('sphinx.ext.autodoc')
 
-extensions.append('sphinx.ext.autosummary')
 
-extensions.append('sphinx.ext.intersphinx')
 
-extensions.append('sphinx.ext.mathjax')
 
-extensions.append('sphinx.ext.viewcode')
 
-extensions.append('sphinx.ext.graphviz')
 
-extensions.append('sphinxcontrib.napoleon')
 
-extensions.append('myst_parser')
 
+extensions.append("sphinx.ext.todo")
 
+extensions.append("sphinx.ext.autodoc")
 
+extensions.append("sphinx.ext.autosummary")
 
+extensions.append("sphinx.ext.intersphinx")
 
+extensions.append("sphinx.ext.mathjax")
 
+extensions.append("sphinx.ext.viewcode")
 
+extensions.append("sphinx.ext.graphviz")
 
+extensions.append("sphinxcontrib.napoleon")
 
+extensions.append("myst_parser")
 
 
 
 autosummary_generate = True
 
 autosummary_generate = True
 
 
 
 # html_theme = 'default'
 
 # html_theme = 'default'
 
 # html_theme = 'alabaster'
 
 # html_theme = 'alabaster'
 
-html_theme = 'sphinx_rtd_theme'
 
+html_theme = "sphinx_rtd_theme"
 
 
 
 # Add any paths that contain custom static files (such as style sheets) here,
 
 # Add any paths that contain custom static files (such as style sheets) here,
 
 # relative to this directory. They are copied after the builtin static files,
 
 # relative to this directory. They are copied after the builtin static files,
 
 # so a file named "default.css" will overwrite the builtin "default.css".
 
 # so a file named "default.css" will overwrite the builtin "default.css".
 
-html_static_path = ['_static']
 
+html_static_path = ["_static"]
 
+
 
+html_css_files = [
 
+    "custom.css",
 
+]
 
 
 
 source_suffix = {
 
 source_suffix = {
 
-    '.rst': 'restructuredtext',
 
-    '.md': 'markdown',
 
+    ".rst": "restructuredtext",
 
+    ".md": "markdown",
 
 }
 
 }
 
-
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    2. 

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  1. super\_gradients.common.environment
    2. 

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    3. 

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@@ -20,10 +20,10 @@ Welcome to SuperGradients's documentation!
 
    super_gradients.training
 
    super_gradients.training
 
 
 
 .. toctree::
 
 .. toctree::
 
-   :maxdepth: 4
 
-   :caption: User Guide
 
+.. :maxdepth: 4
 
+.. :caption: User Guide
 
 
 
-   user_guide
 
+.. user_guide
 
 
 
 Indices and tables
 
 Indices and tables
 
 ==================
 
 ==================
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-sphinx
 
-sphinxcontrib-napoleon
 
-myst-parser
 
+Sphinx==5.3.0
 
+sphinxcontrib.napoleon
 
+myst-parser
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  1. super\_gradients.common.abstractions package
    2. 

  2. ============================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

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  7. super\_gradients.common.abstractions.abstract\_logger module
    8. 

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  10. .. automodule:: super_gradients.common.abstractions.abstract_logger
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  15. Module contents
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  1. super\_gradients.common.auto\_logging package
    2. 

  2. =============================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
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  7. super\_gradients.common.auto\_logging.auto\_logger module
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  1. super\_gradients.common.aws\_connection package
    2. 

  2. ===============================================
    3. 

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  4. Submodules
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  5. ----------
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  7. super\_gradients.common.aws\_connection.aws\_connector module
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  16. -------------------------------------------------------------------------------
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  23. Module contents
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  1. super\_gradients.common.data\_connection package
    2. 

  2. ================================================
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  4. Submodules
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  5. ----------
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  1. super\_gradients.common.data\_interface package
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  2. ===============================================
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  4. Submodules
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  15. super\_gradients.common.data\_interface.dataset\_data\_interface module
    16. 

  16. -----------------------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.common.data_interface.dataset_data_interface
    19. 

  19.    :members:
    20. 

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    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. Module contents
    24. 

  24. ---------------
    25. 

  25. 

  26. .. automodule:: super_gradients.common.data_interface
    27. 

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  1. super\_gradients.common.data\_types.enum package
    2. 

  2. ================================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.common.data\_types.enum.deep\_learning\_task module
    8. 

  8. --------------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.common.data_types.enum.deep_learning_task
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. Module contents
    16. 

  16. ---------------
    17. 

  17. 

  18. .. automodule:: super_gradients.common.data_types.enum
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  1. super\_gradients.common.data\_types package
    2. 

  2. ===========================================
    3. 

  3. 

  4. Subpackages
    5. 

  5. -----------
    6. 

  6. 

  7. .. toctree::
    8. 

  8.    :maxdepth: 4
    9. 

  9. 

  10.    super_gradients.common.data_types.enum
    11. 

  11. 

  12. Module contents
    13. 

  13. ---------------
    14. 

  14. 

  15. .. automodule:: super_gradients.common.data_types
    16. 

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    17. 

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    18. 

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  1. super\_gradients.common.decorators package
    2. 

  2. ==========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.common.decorators.deci\_logger module
    8. 

  8. ------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.common.decorators.deci_logger
    11. 

  11.    :members:
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  14. 

  15. super\_gradients.common.decorators.explicit\_params\_validator module
    16. 

  16. ---------------------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.common.decorators.explicit_params_validator
    19. 

  19.    :members:
    20. 

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    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.common.decorators.singleton module
    24. 

  24. ---------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.common.decorators.singleton
    27. 

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  30. 

  31. Module contents
    32. 

  32. ---------------
    33. 

  33. 

  34. .. automodule:: super_gradients.common.decorators
    35. 

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  1. super\_gradients.common.environment package
    2. 

  2. ===========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.common.environment.env\_helpers module
    8. 

  8. -------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.common.environment.env_helpers
    11. 

  11.    :members:
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  14. 

  15. super\_gradients.common.environment.environment\_config module
    16. 

  16. --------------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.common.environment.environment_config
    19. 

  19.    :members:
    20. 

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    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. Module contents
    24. 

  24. ---------------
    25. 

  25. 

  26. .. automodule:: super_gradients.common.environment
    27. 

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@@ -9,35 +9,61 @@ Common package
 
    :undoc-members:
 
    :undoc-members:
 
    :show-inheritance:
 
    :show-inheritance:
 
 
 
-.. automodule:: super_gradients.auto_logging
 
+.. automodule:: super_gradients.common.auto_logging
 
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    :show-inheritance:
 
 
 
-.. automodule:: super_gradients.aws_connection
 
+.. automodule:: super_gradients.common.abstraction
 
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-.. automodule:: super_gradients.data_interface
 
+.. automodule:: super_gradients.common.data_connection
 
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    :show-inheritance:
 
 
 
-.. automodule:: super_gradients.data_types
 
+
 
+.. automodule:: super_gradients.common.data_interface
 
+   :members:
 
+   :undoc-members:
 
+   :show-inheritance:
 
+
 
+.. automodule:: super_gradients.common.data_types
 
+   :members:
 
+   :undoc-members:
 
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+
 
+.. automodule:: super_gradients.common.decorators
 
+   :members:
 
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+   :show-inheritance:
 
+
 
+.. automodule:: super_gradients.common.environment
 
+   :members:
 
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+
 
+.. automodule:: super_gradients.common.factories
 
+   :members:
 
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+.. automodule:: super_gradients.common.plugins
 
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 Module contents
 
----------------
 
+---------------
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  1. super\_gradients.training.datasets.classification\_datasets package
    2. 

  2. ===================================================================
    3. 

  3. 

  4. Module contents
    5. 

  5. ---------------
    6. 

  6. 

  7. .. automodule:: super_gradients.training.datasets.classification_datasets
    8. 

  8.    :members:
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  1. super\_gradients.training.datasets.dataset\_interfaces package
    2. 

  2. ==============================================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.datasets.dataset\_interfaces.dataset\_interface module
    8. 

  8. --------------------------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.datasets.dataset_interfaces.dataset_interface
    11. 

  11.    :members:
    12. 

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    13. 

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    14. 

  14. 

  15. Module contents
    16. 

  16. ---------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.datasets.dataset_interfaces
    19. 

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  1. super\_gradients.training.datasets.detection\_datasets package
    2. 

  2. ==============================================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.datasets.detection\_datasets.coco\_detection module
    8. 

  8. -----------------------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.datasets.detection_datasets.coco_detection
    11. 

  11.    :members:
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  14. 

  15. super\_gradients.training.datasets.detection\_datasets.detection\_dataset module
    16. 

  16. --------------------------------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.datasets.detection_datasets.detection_dataset
    19. 

  19.    :members:
    20. 

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    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.datasets.detection\_datasets.pascal\_voc\_detection module
    24. 

  24. ------------------------------------------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.datasets.detection_datasets.pascal_voc_detection
    27. 

  27.    :members:
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    29. 

  29.    :show-inheritance:
    30. 

  30. 

  31. Module contents
    32. 

  32. ---------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.datasets.detection_datasets
    35. 

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  1. super\_gradients.training.datasets package
    2. 

  2. ==========================================
    3. 

  3. 

  4. Subpackages
    5. 

  5. -----------
    6. 

  6. 

  7. .. toctree::
    8. 

  8.    :maxdepth: 4
    9. 

  9. 

  10.    super_gradients.training.datasets.classification_datasets
    11. 

  11.    super_gradients.training.datasets.dataset_interfaces
    12. 

  12.    super_gradients.training.datasets.detection_datasets
    13. 

  13.    super_gradients.training.datasets.segmentation_datasets
    14. 

  14. 

  15. Submodules
    16. 

  16. ----------
    17. 

  17. 

  18. super\_gradients.training.datasets.all\_datasets module
    19. 

  19. -------------------------------------------------------
    20. 

  20. 

  21. .. automodule:: super_gradients.training.datasets.all_datasets
    22. 

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  25. 

  26. super\_gradients.training.datasets.auto\_augment module
    27. 

  27. -------------------------------------------------------
    28. 

  28. 

  29. .. automodule:: super_gradients.training.datasets.auto_augment
    30. 

  30.    :members:
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    32. 

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  33. 

  34. super\_gradients.training.datasets.data\_augmentation module
    35. 

  35. ------------------------------------------------------------
    36. 

  36. 

  37. .. automodule:: super_gradients.training.datasets.data_augmentation
    38. 

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  41. 

  42. super\_gradients.training.datasets.datasets\_conf module
    43. 

  43. --------------------------------------------------------
    44. 

  44. 

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    46. 

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  49. 

  50. super\_gradients.training.datasets.datasets\_utils module
    51. 

  51. ---------------------------------------------------------
    52. 

  52. 

  53. .. automodule:: super_gradients.training.datasets.datasets_utils
    54. 

  54.    :members:
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  57. 

  58. super\_gradients.training.datasets.mixup module
    59. 

  59. -----------------------------------------------
    60. 

  60. 

  61. .. automodule:: super_gradients.training.datasets.mixup
    62. 

  62.    :members:
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  65. 

  66. super\_gradients.training.datasets.sg\_dataset module
    67. 

  67. -----------------------------------------------------
    68. 

  68. 

  69. .. automodule:: super_gradients.training.datasets.sg_dataset
    70. 

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    73. 

  73. 

  74. Module contents
    75. 

  75. ---------------
    76. 

  76. 

  77. .. automodule:: super_gradients.training.datasets
    78. 

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  1. super\_gradients.training.datasets.segmentation\_datasets package
    2. 

  2. =================================================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.datasets.segmentation\_datasets.cityscape\_segmentation module
    8. 

  8. ----------------------------------------------------------------------------------------
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  9. 

  10. .. automodule:: super_gradients.training.datasets.segmentation_datasets.cityscape_segmentation
    11. 

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  14. 

  15. super\_gradients.training.datasets.segmentation\_datasets.coco\_segmentation module
    16. 

  16. -----------------------------------------------------------------------------------
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  17. 

  18. .. automodule:: super_gradients.training.datasets.segmentation_datasets.coco_segmentation
    19. 

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    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.datasets.segmentation\_datasets.pascal\_aug\_segmentation module
    24. 

  24. ------------------------------------------------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.datasets.segmentation_datasets.pascal_aug_segmentation
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  30. 

  31. super\_gradients.training.datasets.segmentation\_datasets.pascal\_voc\_segmentation module
    32. 

  32. ------------------------------------------------------------------------------------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.datasets.segmentation_datasets.pascal_voc_segmentation
    35. 

  35.    :members:
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    37. 

  37.    :show-inheritance:
    38. 

  38. 

  39. super\_gradients.training.datasets.segmentation\_datasets.segmentation\_dataset module
    40. 

  40. --------------------------------------------------------------------------------------
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  41. 

  42. .. automodule:: super_gradients.training.datasets.segmentation_datasets.segmentation_dataset
    43. 

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  44.    :undoc-members:
    45. 

  45.    :show-inheritance:
    46. 

  46. 

  47. Module contents
    48. 

  48. ---------------
    49. 

  49. 

  50. .. automodule:: super_gradients.training.datasets.segmentation_datasets
    51. 

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    52. 

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    53. 

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  1. super\_gradients.training.exceptions package
    2. 

  2. ============================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.exceptions.dataset\_exceptions module
    8. 

  8. ---------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.exceptions.dataset_exceptions
    11. 

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  14. 

  15. super\_gradients.training.exceptions.sg\_model\_exceptions module
    16. 

  16. -----------------------------------------------------------------
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  17. 

  18. .. automodule:: super_gradients.training.exceptions.sg_model_exceptions
    19. 

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  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. Module contents
    24. 

  24. ---------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.exceptions
    27. 

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    29. 

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  1. super\_gradients.training.legacy package
    2. 

  2. ========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.legacy.utils module
    8. 

  8. ---------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.legacy.utils
    11. 

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    12. 

  12.    :undoc-members:
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  13.    :show-inheritance:
    14. 

  14. 

  15. Module contents
    16. 

  16. ---------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.legacy
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  1. super\_gradients.training.losses package
    2. 

  2. ========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.losses.all\_losses module
    8. 

  8. ---------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.losses.all_losses
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. super\_gradients.training.losses.ddrnet\_loss module
    16. 

  16. ----------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.losses.ddrnet_loss
    19. 

  19.    :members:
    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.losses.focal\_loss module
    24. 

  24. ---------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.losses.focal_loss
    27. 

  27.    :members:
    28. 

  28.    :undoc-members:
    29. 

  29.    :show-inheritance:
    30. 

  30. 

  31. super\_gradients.training.losses.label\_smoothing\_cross\_entropy\_loss module
    32. 

  32. ------------------------------------------------------------------------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.losses.label_smoothing_cross_entropy_loss
    35. 

  35.    :members:
    36. 

  36.    :undoc-members:
    37. 

  37.    :show-inheritance:
    38. 

  38. 

  39. super\_gradients.training.losses.ohem\_ce\_loss module
    40. 

  40. ------------------------------------------------------
    41. 

  41. 

  42. .. automodule:: super_gradients.training.losses.ohem_ce_loss
    43. 

  43.    :members:
    44. 

  44.    :undoc-members:
    45. 

  45.    :show-inheritance:
    46. 

  46. 

  47. super\_gradients.training.losses.r\_squared\_loss module
    48. 

  48. --------------------------------------------------------
    49. 

  49. 

  50. .. automodule:: super_gradients.training.losses.r_squared_loss
    51. 

  51.    :members:
    52. 

  52.    :undoc-members:
    53. 

  53.    :show-inheritance:
    54. 

  54. 

  55. super\_gradients.training.losses.shelfnet\_ohem\_loss module
    56. 

  56. ------------------------------------------------------------
    57. 

  57. 

  58. .. automodule:: super_gradients.training.losses.shelfnet_ohem_loss
    59. 

  59.    :members:
    60. 

  60.    :undoc-members:
    61. 

  61.    :show-inheritance:
    62. 

  62. 

  63. super\_gradients.training.losses.shelfnet\_semantic\_encoding\_loss module
    64. 

  64. --------------------------------------------------------------------------
    65. 

  65. 

  66. .. automodule:: super_gradients.training.losses.shelfnet_semantic_encoding_loss
    67. 

  67.    :members:
    68. 

  68.    :undoc-members:
    69. 

  69.    :show-inheritance:
    70. 

  70. 

  71. super\_gradients.training.losses.ssd\_loss module
    72. 

  72. -------------------------------------------------
    73. 

  73. 

  74. .. automodule:: super_gradients.training.losses.ssd_loss
    75. 

  75.    :members:
    76. 

  76.    :undoc-members:
    77. 

  77.    :show-inheritance:
    78. 

  78. 

  79. super\_gradients.training.losses.yolo\_v3\_loss module
    80. 

  80. ------------------------------------------------------
    81. 

  81. 

  82. .. automodule:: super_gradients.training.losses.yolo_v3_loss
    83. 

  83.    :members:
    84. 

  84.    :undoc-members:
    85. 

  85.    :show-inheritance:
    86. 

  86. 

  87. super\_gradients.training.losses.yolo\_v5\_loss module
    88. 

  88. ------------------------------------------------------
    89. 

  89. 

  90. .. automodule:: super_gradients.training.losses.yolo_v5_loss
    91. 

  91.    :members:
    92. 

  92.    :undoc-members:
    93. 

  93.    :show-inheritance:
    94. 

  94. 

  95. Module contents
    96. 

  96. ---------------
    97. 

  97. 

  98. .. automodule:: super_gradients.training.losses
    99. 

  99.    :members:
    100. 

  100.    :undoc-members:
    101. 

  101.    :show-inheritance:
    102.
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  1. super\_gradients.training.metrics package
    2. 

  2. =========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.metrics.classification\_metrics module
    8. 

  8. ----------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.metrics.classification_metrics
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. super\_gradients.training.metrics.detection\_metrics module
    16. 

  16. -----------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.metrics.detection_metrics
    19. 

  19.    :members:
    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.metrics.metric\_utils module
    24. 

  24. ------------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.metrics.metric_utils
    27. 

  27.    :members:
    28. 

  28.    :undoc-members:
    29. 

  29.    :show-inheritance:
    30. 

  30. 

  31. super\_gradients.training.metrics.segmentation\_metrics module
    32. 

  32. --------------------------------------------------------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.metrics.segmentation_metrics
    35. 

  35.    :members:
    36. 

  36.    :undoc-members:
    37. 

  37.    :show-inheritance:
    38. 

  38. 

  39. Module contents
    40. 

  40. ---------------
    41. 

  41. 

  42. .. automodule:: super_gradients.training.metrics
    43. 

  43.    :members:
    44. 

  44.    :undoc-members:
    45. 

  45.    :show-inheritance:
    46.
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  1. super\_gradients.training.models package
    2. 

  2. ========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.models.all\_architectures module
    8. 

  8. ----------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.models.all_architectures
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. super\_gradients.training.models.csp\_darknet53 module
    16. 

  16. ------------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.models.csp_darknet53
    19. 

  19.    :members:
    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.models.darknet53 module
    24. 

  24. -------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.models.darknet53
    27. 

  27.    :members:
    28. 

  28.    :undoc-members:
    29. 

  29.    :show-inheritance:
    30. 

  30. 

  31. super\_gradients.training.models.ddrnet module
    32. 

  32. ----------------------------------------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.models.ddrnet
    35. 

  35.    :members:
    36. 

  36.    :undoc-members:
    37. 

  37.    :show-inheritance:
    38. 

  38. 

  39. super\_gradients.training.models.densenet module
    40. 

  40. ------------------------------------------------
    41. 

  41. 

  42. .. automodule:: super_gradients.training.models.densenet
    43. 

  43.    :members:
    44. 

  44.    :undoc-members:
    45. 

  45.    :show-inheritance:
    46. 

  46. 

  47. super\_gradients.training.models.dpn module
    48. 

  48. -------------------------------------------
    49. 

  49. 

  50. .. automodule:: super_gradients.training.models.dpn
    51. 

  51.    :members:
    52. 

  52.    :undoc-members:
    53. 

  53.    :show-inheritance:
    54. 

  54. 

  55. super\_gradients.training.models.efficientnet module
    56. 

  56. ----------------------------------------------------
    57. 

  57. 

  58. .. automodule:: super_gradients.training.models.efficientnet
    59. 

  59.    :members:
    60. 

  60.    :undoc-members:
    61. 

  61.    :show-inheritance:
    62. 

  62. 

  63. super\_gradients.training.models.googlenet module
    64. 

  64. -------------------------------------------------
    65. 

  65. 

  66. .. automodule:: super_gradients.training.models.googlenet
    67. 

  67.    :members:
    68. 

  68.    :undoc-members:
    69. 

  69.    :show-inheritance:
    70. 

  70. 

  71. super\_gradients.training.models.laddernet module
    72. 

  72. -------------------------------------------------
    73. 

  73. 

  74. .. automodule:: super_gradients.training.models.laddernet
    75. 

  75.    :members:
    76. 

  76.    :undoc-members:
    77. 

  77.    :show-inheritance:
    78. 

  78. 

  79. super\_gradients.training.models.lenet module
    80. 

  80. ---------------------------------------------
    81. 

  81. 

  82. .. automodule:: super_gradients.training.models.lenet
    83. 

  83.    :members:
    84. 

  84.    :undoc-members:
    85. 

  85.    :show-inheritance:
    86. 

  86. 

  87. super\_gradients.training.models.mobilenet module
    88. 

  88. -------------------------------------------------
    89. 

  89. 

  90. .. automodule:: super_gradients.training.models.mobilenet
    91. 

  91.    :members:
    92. 

  92.    :undoc-members:
    93. 

  93.    :show-inheritance:
    94. 

  94. 

  95. super\_gradients.training.models.mobilenetv2 module
    96. 

  96. ---------------------------------------------------
    97. 

  97. 

  98. .. automodule:: super_gradients.training.models.mobilenetv2
    99. 

  99.    :members:
    100. 

  100.    :undoc-members:
    101. 

  101.    :show-inheritance:
    102. 

  102. 

  103. super\_gradients.training.models.mobilenetv3 module
    104. 

  104. ---------------------------------------------------
    105. 

  105. 

  106. .. automodule:: super_gradients.training.models.mobilenetv3
    107. 

  107.    :members:
    108. 

  108.    :undoc-members:
    109. 

  109.    :show-inheritance:
    110. 

  110. 

  111. super\_gradients.training.models.pnasnet module
    112. 

  112. -----------------------------------------------
    113. 

  113. 

  114. .. automodule:: super_gradients.training.models.pnasnet
    115. 

  115.    :members:
    116. 

  116.    :undoc-members:
    117. 

  117.    :show-inheritance:
    118. 

  118. 

  119. super\_gradients.training.models.preact\_resnet module
    120. 

  120. ------------------------------------------------------
    121. 

  121. 

  122. .. automodule:: super_gradients.training.models.preact_resnet
    123. 

  123.    :members:
    124. 

  124.    :undoc-members:
    125. 

  125.    :show-inheritance:
    126. 

  126. 

  127. super\_gradients.training.models.regnet module
    128. 

  128. ----------------------------------------------
    129. 

  129. 

  130. .. automodule:: super_gradients.training.models.regnet
    131. 

  131.    :members:
    132. 

  132.    :undoc-members:
    133. 

  133.    :show-inheritance:
    134. 

  134. 

  135. super\_gradients.training.models.repvgg module
    136. 

  136. ----------------------------------------------
    137. 

  137. 

  138. .. automodule:: super_gradients.training.models.repvgg
    139. 

  139.    :members:
    140. 

  140.    :undoc-members:
    141. 

  141.    :show-inheritance:
    142. 

  142. 

  143. super\_gradients.training.models.resnet module
    144. 

  144. ----------------------------------------------
    145. 

  145. 

  146. .. automodule:: super_gradients.training.models.resnet
    147. 

  147.    :members:
    148. 

  148.    :undoc-members:
    149. 

  149.    :show-inheritance:
    150. 

  150. 

  151. super\_gradients.training.models.resnext module
    152. 

  152. -----------------------------------------------
    153. 

  153. 

  154. .. automodule:: super_gradients.training.models.resnext
    155. 

  155.    :members:
    156. 

  156.    :undoc-members:
    157. 

  157.    :show-inheritance:
    158. 

  158. 

  159. super\_gradients.training.models.senet module
    160. 

  160. ---------------------------------------------
    161. 

  161. 

  162. .. automodule:: super_gradients.training.models.senet
    163. 

  163.    :members:
    164. 

  164.    :undoc-members:
    165. 

  165.    :show-inheritance:
    166. 

  166. 

  167. super\_gradients.training.models.sg\_module module
    168. 

  168. --------------------------------------------------
    169. 

  169. 

  170. .. automodule:: super_gradients.training.models.sg_module
    171. 

  171.    :members:
    172. 

  172.    :undoc-members:
    173. 

  173.    :show-inheritance:
    174. 

  174. 

  175. super\_gradients.training.models.shelfnet module
    176. 

  176. ------------------------------------------------
    177. 

  177. 

  178. .. automodule:: super_gradients.training.models.shelfnet
    179. 

  179.    :members:
    180. 

  180.    :undoc-members:
    181. 

  181.    :show-inheritance:
    182. 

  182. 

  183. super\_gradients.training.models.shufflenet module
    184. 

  184. --------------------------------------------------
    185. 

  185. 

  186. .. automodule:: super_gradients.training.models.shufflenet
    187. 

  187.    :members:
    188. 

  188.    :undoc-members:
    189. 

  189.    :show-inheritance:
    190. 

  190. 

  191. super\_gradients.training.models.shufflenetv2 module
    192. 

  192. ----------------------------------------------------
    193. 

  193. 

  194. .. automodule:: super_gradients.training.models.shufflenetv2
    195. 

  195.    :members:
    196. 

  196.    :undoc-members:
    197. 

  197.    :show-inheritance:
    198. 

  198. 

  199. super\_gradients.training.models.ssd module
    200. 

  200. -------------------------------------------
    201. 

  201. 

  202. .. automodule:: super_gradients.training.models.ssd
    203. 

  203.    :members:
    204. 

  204.    :undoc-members:
    205. 

  205.    :show-inheritance:
    206. 

  206. 

  207. super\_gradients.training.models.vgg module
    208. 

  208. -------------------------------------------
    209. 

  209. 

  210. .. automodule:: super_gradients.training.models.vgg
    211. 

  211.    :members:
    212. 

  212.    :undoc-members:
    213. 

  213.    :show-inheritance:
    214. 

  214. 

  215. super\_gradients.training.models.yolov3 module
    216. 

  216. ----------------------------------------------
    217. 

  217. 

  218. .. automodule:: super_gradients.training.models.yolov3
    219. 

  219.    :members:
    220. 

  220.    :undoc-members:
    221. 

  221.    :show-inheritance:
    222. 

  222. 

  223. super\_gradients.training.models.yolov5 module
    224. 

  224. ----------------------------------------------
    225. 

  225. 

  226. .. automodule:: super_gradients.training.models.yolov5
    227. 

  227.    :members:
    228. 

  228.    :undoc-members:
    229. 

  229.    :show-inheritance:
    230. 

  230. 

  231. Module contents
    232. 

  232. ---------------
    233. 

  233. 

  234. .. automodule:: super_gradients.training.models
    235. 

  235.    :members:
    236. 

  236.    :undoc-members:
    237. 

  237.    :show-inheritance:
    238.
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View left file View right file 
@@ -7,13 +7,17 @@ Training package
 
 .. toctree::
 
 .. toctree::
 
    :maxdepth: 4
 
    :maxdepth: 4
 
    super_gradients.training
 
    super_gradients.training
 
+   super_gradients.training.dataloaders
 
    super_gradients.training.datasets
 
    super_gradients.training.datasets
 
    super_gradients.training.exceptions
 
    super_gradients.training.exceptions
 
+   super_gradients.training.kd_trainer
 
    super_gradients.training.legacy
 
    super_gradients.training.legacy
 
    super_gradients.training.losses
 
    super_gradients.training.losses
 
    super_gradients.training.metrics
 
    super_gradients.training.metrics
 
    super_gradients.training.models
 
    super_gradients.training.models
 
-   super_gradients.training.sg_model
 
+   super_gradients.training.sg_trainer
 
+   super_gradients.training.training_hyperparams
 
+   super_gradients.training.transforms
 
    super_gradients.training.utils
 
    super_gradients.training.utils
 
 
 
 super\_gradients.training module
 
 super\_gradients.training module
 
@@ -32,6 +36,14 @@ super\_gradients.training.datasets module
 
    :undoc-members:
 
    :undoc-members:
 
    :show-inheritance:
 
    :show-inheritance:
 
 
 
+super\_gradients.training.dataloaders module
 
+---------------------------------------
 
+
 
+.. automodule:: super_gradients.training.dataloaders
 
+   :members:
 
+   :undoc-members:
 
+   :show-inheritance:
 
+
 
 super\_gradients.training.exceptions module
 
 super\_gradients.training.exceptions module
 
 ---------------------------------------
 
 ---------------------------------------
 
 
 
@@ -40,6 +52,14 @@ super\_gradients.training.exceptions module
 
    :undoc-members:
 
    :undoc-members:
 
    :show-inheritance:
 
    :show-inheritance:
 
 
 
+super\_gradients.training.kd_trainer module
 
+---------------------------------------
 
+
 
+.. automodule:: super_gradients.training.kd_trainer
 
+   :members:
 
+   :undoc-members:
 
+   :show-inheritance:
 
+
 
 super\_gradients.training.legacy module
 
 super\_gradients.training.legacy module
 
 ---------------------------------------
 
 ---------------------------------------
 
 
 
@@ -75,11 +95,26 @@ super\_gradients.training.models module
 
 super\_gradients.training.sg\_model module
 
 super\_gradients.training.sg\_model module
 
 ---------------------------------------------------
 
 ---------------------------------------------------
 
 
 
-.. automodule:: super_gradients.training.sg_model
 
+.. automodule:: super_gradients.training.sg_trainer
 
    :members:
 
    :members:
 
    :undoc-members:
 
    :undoc-members:
 
    :show-inheritance:
 
    :show-inheritance:
 
 
 
+super\_gradients.training.training_hyperparams module
 
+---------------------------------------
 
+
 
+.. automodule:: super_gradients.training.training_hyperparams
 
+   :members:
 
+   :undoc-members:
 
+   :show-inheritance:
 
+
 
+super\_gradients.training.transforms module
 
+---------------------------------------
 
+
 
+.. automodule:: super_gradients.training.transforms
 
+   :members:
 
+   :undoc-members:
 
+   :show-inheritance:
 
 
 
 super\_gradients.training.utils module
 
 super\_gradients.training.utils module
 
 ---------------------------------------------------
 
 ---------------------------------------------------
 
@@ -91,4 +126,3 @@ super\_gradients.training.utils module
 
 
 
 Module contents
 
 Module contents
 
 ---------------
 
 ---------------
 
-
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  1. super\_gradients.training.sg\_model package
    2. 

  2. ===========================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.sg\_model.sg\_model module
    8. 

  8. ----------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.sg_model.sg_model
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. Module contents
    16. 

  16. ---------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.sg_model
    19. 

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    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22.
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  1. super\_gradients.training.utils.optimizers package
    2. 

  2. ==================================================
    3. 

  3. 

  4. Submodules
    5. 

  5. ----------
    6. 

  6. 

  7. super\_gradients.training.utils.optimizers.rmsprop\_tf module
    8. 

  8. -------------------------------------------------------------
    9. 

  9. 

  10. .. automodule:: super_gradients.training.utils.optimizers.rmsprop_tf
    11. 

  11.    :members:
    12. 

  12.    :undoc-members:
    13. 

  13.    :show-inheritance:
    14. 

  14. 

  15. Module contents
    16. 

  16. ---------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.utils.optimizers
    19. 

  19.    :members:
    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22.
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  1. super\_gradients.training.utils package
    2. 

  2. =======================================
    3. 

  3. 

  4. Subpackages
    5. 

  5. -----------
    6. 

  6. 

  7. .. toctree::
    8. 

  8.    :maxdepth: 4
    9. 

  9. 

  10.    super_gradients.training.utils.optimizers
    11. 

  11. 

  12. Submodules
    13. 

  13. ----------
    14. 

  14. 

  15. super\_gradients.training.utils.callbacks module
    16. 

  16. ------------------------------------------------
    17. 

  17. 

  18. .. automodule:: super_gradients.training.utils.callbacks
    19. 

  19.    :members:
    20. 

  20.    :undoc-members:
    21. 

  21.    :show-inheritance:
    22. 

  22. 

  23. super\_gradients.training.utils.checkpoint\_utils module
    24. 

  24. --------------------------------------------------------
    25. 

  25. 

  26. .. automodule:: super_gradients.training.utils.checkpoint_utils
    27. 

  27.    :members:
    28. 

  28.    :undoc-members:
    29. 

  29.    :show-inheritance:
    30. 

  30. 

  31. super\_gradients.training.utils.detection\_utils module
    32. 

  32. -------------------------------------------------------
    33. 

  33. 

  34. .. automodule:: super_gradients.training.utils.detection_utils
    35. 

  35.    :members:
    36. 

  36.    :undoc-members:
    37. 

  37.    :show-inheritance:
    38. 

  38. 

  39. super\_gradients.training.utils.distributed\_training\_utils module
    40. 

  40. -------------------------------------------------------------------
    41. 

  41. 

  42. .. automodule:: super_gradients.training.utils.distributed_training_utils
    43. 

  43.    :members:
    44. 

  44.    :undoc-members:
    45. 

  45.    :show-inheritance:
    46. 

  46. 

  47. super\_gradients.training.utils.early\_stopping module
    48. 

  48. ------------------------------------------------------
    49. 

  49. 

  50. .. automodule:: super_gradients.training.utils.early_stopping
    51. 

  51.    :members:
    52. 

  52.    :undoc-members:
    53. 

  53.    :show-inheritance:
    54. 

  54. 

  55. super\_gradients.training.utils.ema module
    56. 

  56. ------------------------------------------
    57. 

  57. 

  58. .. automodule:: super_gradients.training.utils.ema
    59. 

  59.    :members:
    60. 

  60.    :undoc-members:
    61. 

  61.    :show-inheritance:
    62. 

  62. 

  63. super\_gradients.training.utils.export\_utils module
    64. 

  64. ----------------------------------------------------
    65. 

  65. 

  66. .. automodule:: super_gradients.training.utils.export_utils
    67. 

  67.    :members:
    68. 

  68.    :undoc-members:
    69. 

  69.    :show-inheritance:
    70. 

  70. 

  71. super\_gradients.training.utils.get\_model\_stats module
    72. 

  72. --------------------------------------------------------
    73. 

  73. 

  74. .. automodule:: super_gradients.training.utils.get_model_stats
    75. 

  75.    :members:
    76. 

  76.    :undoc-members:
    77. 

  77.    :show-inheritance:
    78. 

  78. 

  79. super\_gradients.training.utils.module\_utils module
    80. 

  80. ----------------------------------------------------
    81. 

  81. 

  82. .. automodule:: super_gradients.training.utils.module_utils
    83. 

  83.    :members:
    84. 

  84.    :undoc-members:
    85. 

  85.    :show-inheritance:
    86. 

  86. 

  87. super\_gradients.training.utils.optimizer\_utils module
    88. 

  88. -------------------------------------------------------
    89. 

  89. 

  90. .. automodule:: super_gradients.training.utils.optimizer_utils
    91. 

  91.    :members:
    92. 

  92.    :undoc-members:
    93. 

  93.    :show-inheritance:
    94. 

  94. 

  95. super\_gradients.training.utils.regularization\_utils module
    96. 

  96. ------------------------------------------------------------
    97. 

  97. 

  98. .. automodule:: super_gradients.training.utils.regularization_utils
    99. 

  99.    :members:
    100. 

  100.    :undoc-members:
    101. 

  101.    :show-inheritance:
    102. 

  102. 

  103. super\_gradients.training.utils.segmentation\_utils module
    104. 

  104. ----------------------------------------------------------
    105. 

  105. 

  106. .. automodule:: super_gradients.training.utils.segmentation_utils
    107. 

  107.    :members:
    108. 

  108.    :undoc-members:
    109. 

  109.    :show-inheritance:
    110. 

  110. 

  111. super\_gradients.training.utils.sg\_model\_utils module
    112. 

  112. -------------------------------------------------------
    113. 

  113. 

  114. .. automodule:: super_gradients.training.utils.sg_model_utils
    115. 

  115.    :members:
    116. 

  116.    :undoc-members:
    117. 

  117.    :show-inheritance:
    118. 

  118. 

  119. super\_gradients.training.utils.ssd\_utils module
    120. 

  120. -------------------------------------------------
    121. 

  121. 

  122. .. automodule:: super_gradients.training.utils.ssd_utils
    123. 

  123.    :members:
    124. 

  124.    :undoc-members:
    125. 

  125.    :show-inheritance:
    126. 

  126. 

  127. super\_gradients.training.utils.utils module
    128. 

  128. --------------------------------------------
    129. 

  129. 

  130. .. automodule:: super_gradients.training.utils.utils
    131. 

  131.    :members:
    132. 

  132.    :undoc-members:
    133. 

  133.    :show-inheritance:
    134. 

  134. 

  135. super\_gradients.training.utils.weight\_averaging\_utils module
    136. 

  136. ---------------------------------------------------------------
    137. 

  137. 

  138. .. automodule:: super_gradients.training.utils.weight_averaging_utils
    139. 

  139.    :members:
    140. 

  140.    :undoc-members:
    141. 

  141.    :show-inheritance:
    142. 

  142. 

  143. Module contents
    144. 

  144. ---------------
    145. 

  145. 

  146. .. automodule:: super_gradients.training.utils
    147. 

  147.    :members:
    148. 

  148.    :undoc-members:
    149. 

  149.    :show-inheritance:
    150.
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View left file View right file 
@@ -1,15 +1,15 @@
 
 #!/usr/bin/env bash
 
 #!/usr/bin/env bash
 
 
 
 # Copy relevant files from root to documentation
 
 # Copy relevant files from root to documentation
 
-cp ./CONTRIBUTING.md documentation/source
 
-cp ./LICENSE.md documentation/source
 
-cp ./README.md documentation/source/welcome.md
 
+cp ../CONTRIBUTING.md ../documentation/source/CONTRIBUTING.md
 
+cp ../LICENSE.md ../documentation/source/LICENSE.md
 
+cp ../README.md ../documentation/source/welcome.md
 
 
 
 # Editing the links to contain assets/ instead of docs/assets in the urls
 
 # Editing the links to contain assets/ instead of docs/assets in the urls
 
-sed -i 's/docs\/assets/assets/g' documentation/source/welcome.md
 
+sed -i 's/docs\/assets/assets/g' ../documentation/source/welcome.md
 
 
 
 # Copying the assets to the documentation
 
 # Copying the assets to the documentation
 
-cd documentation && echo "Copying assets..."
 
+#cd ../documentation && echo "Copying assets..."
 
 
 
 # Compiling
 
 # Compiling
 
 # Copying to documentation/ to docs/ for github pages
 
 # Copying to documentation/ to docs/ for github pages
 
@@ -19,4 +19,4 @@ cd .. && sphinx-build -b html documentation/source docs && \
 
  echo "Successfully generated docs"
 
  echo "Successfully generated docs"
 
 
 
 # Starting an http server, mimicking github pages root directory (static HTML serving from docs/)
 
 # Starting an http server, mimicking github pages root directory (static HTML serving from docs/)
 
-#cd docs && python -m http.server 8080
 
+#cd docs && python -m http.server 8080
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View left file View right file 
@@ -5,7 +5,21 @@ from super_gradients.common.data_connection import S3Connector
 
 from super_gradients.common.data_interface import DatasetDataInterface, ADNNModelRepositoryDataInterfaces
 
 from super_gradients.common.data_interface import DatasetDataInterface, ADNNModelRepositoryDataInterfaces
 
 from super_gradients.common.environment.env_helpers import init_trainer, is_distributed
 
 from super_gradients.common.environment.env_helpers import init_trainer, is_distributed
 
 from super_gradients.common.data_types import StrictLoad, DeepLearningTask, EvaluationType, MultiGPUMode, UpsampleMode
 
 from super_gradients.common.data_types import StrictLoad, DeepLearningTask, EvaluationType, MultiGPUMode, UpsampleMode
 
+from super_gradients.common.auto_logging.auto_logger import AutoLoggerConfig
 
 
 
-__all__ = ['explicit_params_validation', 'singleton', 'AWSConnector', 'DatasetDataInterface',
 
-           'ADNNModelRepositoryDataInterfaces', 'S3Connector', 'init_trainer', 'is_distributed',
 
-           'StrictLoad', 'DeepLearningTask', 'EvaluationType', 'MultiGPUMode', 'UpsampleMode']
 
+__all__ = [
 
+    "explicit_params_validation",
 
+    "singleton",
 
+    "AWSConnector",
 
+    "DatasetDataInterface",
 
+    "ADNNModelRepositoryDataInterfaces",
 
+    "S3Connector",
 
+    "init_trainer",
 
+    "is_distributed",
 
+    "StrictLoad",
 
+    "DeepLearningTask",
 
+    "EvaluationType",
 
+    "MultiGPUMode",
 
+    "UpsampleMode",
 
+    "AutoLoggerConfig",
 
+]
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View left file View right file 
@@ -4,12 +4,13 @@ from enum import Enum
 
 class StrictLoad(Enum):
 
 class StrictLoad(Enum):
 
     """
 
     """
 
     Wrapper for adding more functionality to torch's strict_load parameter in load_state_dict().
 
     Wrapper for adding more functionality to torch's strict_load parameter in load_state_dict().
 
-        Attributes:
 
-            OFF              - Native torch "strict_load = off" behaviour. See nn.Module.load_state_dict() documentation for more details.
 
-            ON               - Native torch "strict_load = on" behaviour. See nn.Module.load_state_dict() documentation for more details.
 
-            NO_KEY_MATCHING  - Allows the usage of SuperGradient's adapt_checkpoint function, which loads a checkpoint by matching each
 
-                               layer's shapes (and bypasses the strict matching of the names of each layer (ie: disregards the state_dict key matching)).
 
+    Attributes:
 
+        OFF              - Native torch "strict_load = off" behaviour. See nn.Module.load_state_dict() documentation for more details.
 
+        ON               - Native torch "strict_load = on" behaviour. See nn.Module.load_state_dict() documentation for more details.
 
+        NO_KEY_MATCHING  - Allows the usage of SuperGradient's adapt_checkpoint function, which loads a checkpoint by matching each
 
+                           layer's shapes (and bypasses the strict matching of the names of each layer (ie: disregards the state_dict key matching)).
 
     """
 
     """
 
+
 
     OFF = False
 
     OFF = False
 
     ON = True
 
     ON = True
 
-    NO_KEY_MATCHING = 'no_key_matching'
 
+    NO_KEY_MATCHING = "no_key_matching"
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