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Revert D19320493: Javadoc changes
Test Plan: revert-hammer Differential Revision: D19320493 Original commit changeset: cc76b2a2acbe fbshipit-source-id: 3b36dd2d2591acc60a06a421dd625c21adbe578a
This commit is contained in:
Bram Wasti
Facebook Github Bot
parent
700d1c5cbc
commit
021e1e20c1
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@ -2,4 +2,4 @@ sphinx
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-e git+https://github.com/pytorch/pytorch_sphinx_theme.git#egg=pytorch_sphinx_theme
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sphinxcontrib.katex
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matplotlib
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javasphinx
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@ -46,6 +46,7 @@ extensions = [
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'sphinx.ext.autodoc',
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'sphinx.ext.autosummary',
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'sphinx.ext.doctest',
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'sphinx.ext.intersphinx',
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'sphinx.ext.todo',
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'sphinx.ext.coverage',
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'sphinx.ext.napoleon',
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@ -17,13 +17,13 @@ PyTorch is an optimized tensor library for deep learning using GPUs and CPUs.
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notes/*
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PyTorch on XLA Devices <http://pytorch.org/xla/>
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.. toctree::
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:maxdepth: 1
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:caption: Language Bindings
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C++ API <https://pytorch.org/cppdocs/>
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Javadoc <https://pytorch.org/javadoc/>
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packages
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.. toctree::
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:maxdepth: 1
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67
docs/source/org/pytorch/DType.rst
Normal file
67
docs/source/org/pytorch/DType.rst
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@ -0,0 +1,67 @@
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DType
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=====
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.. java:package:: org.pytorch
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:noindex:
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.. java:type:: public enum DType
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Codes representing tensor data types.
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Enum Constants
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--------------
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FLOAT32
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^^^^^^^
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.. java:field:: public static final DType FLOAT32
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:outertype: DType
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Code for dtype torch.float32. \ :java:ref:`Tensor.dtype()`\
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FLOAT64
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^^^^^^^
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.. java:field:: public static final DType FLOAT64
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:outertype: DType
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Code for dtype torch.float64. \ :java:ref:`Tensor.dtype()`\
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INT32
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^^^^^
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.. java:field:: public static final DType INT32
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:outertype: DType
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Code for dtype torch.int32. \ :java:ref:`Tensor.dtype()`\
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INT64
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^^^^^
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.. java:field:: public static final DType INT64
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:outertype: DType
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Code for dtype torch.int64. \ :java:ref:`Tensor.dtype()`\
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INT8
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^^^^
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.. java:field:: public static final DType INT8
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:outertype: DType
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Code for dtype torch.int8. \ :java:ref:`Tensor.dtype()`\
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UINT8
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^^^^^
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.. java:field:: public static final DType UINT8
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:outertype: DType
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Code for dtype torch.uint8. \ :java:ref:`Tensor.dtype()`\
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Fields
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------
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jniCode
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^^^^^^^
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.. java:field:: final int jniCode
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:outertype: DType
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297
docs/source/org/pytorch/IValue.rst
Normal file
297
docs/source/org/pytorch/IValue.rst
Normal file
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@ -0,0 +1,297 @@
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.. java:import:: java.util Locale
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.. java:import:: java.util Map
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IValue
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======
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.. java:package:: org.pytorch
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:noindex:
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.. java:type:: public class IValue
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Java representation of a TorchScript value, which is implemented as tagged union that can be one of the supported types: https://pytorch.org/docs/stable/jit.html#types .
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Calling \ ``toX``\ methods for inappropriate types will throw \ :java:ref:`IllegalStateException`\ .
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\ ``IValue``\ objects are constructed with \ ``IValue.from(value)``\ , \ ``IValue.tupleFrom(value1, value2, ...)``\ , \ ``IValue.listFrom(value1, value2, ...)``\ , or one of the \ ``dict``\ methods, depending on the key type.
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Data is retrieved from \ ``IValue``\ objects with the \ ``toX()``\ methods. Note that \ ``str``\ -type IValues must be extracted with \ :java:ref:`toStr()`\ , rather than \ :java:ref:`toString()`\ .
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\ ``IValue``\ objects may retain references to objects passed into their constructors, and may return references to their internal state from \ ``toX()``\ .
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Methods
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-------
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dictLongKeyFrom
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^^^^^^^^^^^^^^^
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.. java:method:: public static IValue dictLongKeyFrom(Map<Long, IValue> map)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``Dict[int, V]``\ .
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dictStringKeyFrom
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^^^^^^^^^^^^^^^^^
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.. java:method:: public static IValue dictStringKeyFrom(Map<String, IValue> map)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``Dict[str, V]``\ .
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from
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^^^^
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.. java:method:: public static IValue from(Tensor tensor)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``Tensor``\ .
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from
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^^^^
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.. java:method:: public static IValue from(boolean value)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``bool``\ .
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from
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^^^^
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.. java:method:: public static IValue from(long value)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``int``\ .
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from
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^^^^
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.. java:method:: public static IValue from(double value)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``float``\ .
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from
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^^^^
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.. java:method:: public static IValue from(String value)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``str``\ .
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isBool
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^^^^^^
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.. java:method:: public boolean isBool()
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:outertype: IValue
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isBoolList
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^^^^^^^^^^
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.. java:method:: public boolean isBoolList()
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:outertype: IValue
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isDictLongKey
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^^^^^^^^^^^^^
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.. java:method:: public boolean isDictLongKey()
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:outertype: IValue
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isDictStringKey
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^^^^^^^^^^^^^^^
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.. java:method:: public boolean isDictStringKey()
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:outertype: IValue
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isDouble
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^^^^^^^^
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.. java:method:: public boolean isDouble()
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:outertype: IValue
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isDoubleList
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^^^^^^^^^^^^
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.. java:method:: public boolean isDoubleList()
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:outertype: IValue
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isList
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^^^^^^
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.. java:method:: public boolean isList()
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:outertype: IValue
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isLong
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^^^^^^
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.. java:method:: public boolean isLong()
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:outertype: IValue
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isLongList
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^^^^^^^^^^
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.. java:method:: public boolean isLongList()
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:outertype: IValue
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isNull
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^^^^^^
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.. java:method:: public boolean isNull()
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:outertype: IValue
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isString
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^^^^^^^^
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.. java:method:: public boolean isString()
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:outertype: IValue
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isTensor
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^^^^^^^^
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.. java:method:: public boolean isTensor()
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:outertype: IValue
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isTensorList
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^^^^^^^^^^^^
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.. java:method:: public boolean isTensorList()
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:outertype: IValue
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isTuple
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^^^^^^^
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.. java:method:: public boolean isTuple()
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:outertype: IValue
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listFrom
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^^^^^^^^
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.. java:method:: public static IValue listFrom(boolean... list)
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:outertype: IValue
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||||
Creates a new \ ``IValue``\ of type \ ``List[bool]``\ .
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listFrom
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^^^^^^^^
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.. java:method:: public static IValue listFrom(long... list)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``List[int]``\ .
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listFrom
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^^^^^^^^
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.. java:method:: public static IValue listFrom(double... list)
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:outertype: IValue
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Creates a new \ ``IValue``\ of type \ ``List[float]``\ .
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listFrom
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^^^^^^^^
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.. java:method:: public static IValue listFrom(Tensor... list)
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:outertype: IValue
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||||
Creates a new \ ``IValue``\ of type \ ``List[Tensor]``\ .
|
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|
||||
listFrom
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^^^^^^^^
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.. java:method:: public static IValue listFrom(IValue... array)
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:outertype: IValue
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||||
|
||||
Creates a new \ ``IValue``\ of type \ ``List[T]``\ . All elements must have the same type.
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||||
|
||||
optionalNull
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||||
^^^^^^^^^^^^
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||||
|
||||
.. java:method:: public static IValue optionalNull()
|
||||
:outertype: IValue
|
||||
|
||||
Creates a new \ ``IValue``\ of type \ ``Optional``\ that contains no value.
|
||||
|
||||
toBool
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||||
^^^^^^
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||||
|
||||
.. java:method:: public boolean toBool()
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||||
:outertype: IValue
|
||||
|
||||
toBoolList
|
||||
^^^^^^^^^^
|
||||
|
||||
.. java:method:: public boolean[] toBoolList()
|
||||
:outertype: IValue
|
||||
|
||||
toDictLongKey
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||||
^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public Map<Long, IValue> toDictLongKey()
|
||||
:outertype: IValue
|
||||
|
||||
toDictStringKey
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||||
^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public Map<String, IValue> toDictStringKey()
|
||||
:outertype: IValue
|
||||
|
||||
toDouble
|
||||
^^^^^^^^
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||||
|
||||
.. java:method:: public double toDouble()
|
||||
:outertype: IValue
|
||||
|
||||
toDoubleList
|
||||
^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public double[] toDoubleList()
|
||||
:outertype: IValue
|
||||
|
||||
toList
|
||||
^^^^^^
|
||||
|
||||
.. java:method:: public IValue[] toList()
|
||||
:outertype: IValue
|
||||
|
||||
toLong
|
||||
^^^^^^
|
||||
|
||||
.. java:method:: public long toLong()
|
||||
:outertype: IValue
|
||||
|
||||
toLongList
|
||||
^^^^^^^^^^
|
||||
|
||||
.. java:method:: public long[] toLongList()
|
||||
:outertype: IValue
|
||||
|
||||
toStr
|
||||
^^^^^
|
||||
|
||||
.. java:method:: public String toStr()
|
||||
:outertype: IValue
|
||||
|
||||
toTensor
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public Tensor toTensor()
|
||||
:outertype: IValue
|
||||
|
||||
toTensorList
|
||||
^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public Tensor[] toTensorList()
|
||||
:outertype: IValue
|
||||
|
||||
toTuple
|
||||
^^^^^^^
|
||||
|
||||
.. java:method:: public IValue[] toTuple()
|
||||
:outertype: IValue
|
||||
|
||||
tupleFrom
|
||||
^^^^^^^^^
|
||||
|
||||
.. java:method:: public static IValue tupleFrom(IValue... array)
|
||||
:outertype: IValue
|
||||
|
||||
Creates a new \ ``IValue``\ of type \ ``Tuple[T0, T1, ...]``\ .
|
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55
docs/source/org/pytorch/Module.rst
Normal file
55
docs/source/org/pytorch/Module.rst
Normal file
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@ -0,0 +1,55 @@
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.. java:import:: com.facebook.jni HybridData
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||||
|
||||
Module
|
||||
======
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: public class Module
|
||||
|
||||
Java wrapper for torch::jit::script::Module.
|
||||
|
||||
Methods
|
||||
-------
|
||||
destroy
|
||||
^^^^^^^
|
||||
|
||||
.. java:method:: public void destroy()
|
||||
:outertype: Module
|
||||
|
||||
Explicitly destroys the native torch::jit::script::Module. Calling this method is not required, as the native object will be destroyed when this object is garbage-collected. However, the timing of garbage collection is not guaranteed, so proactively calling \ ``destroy``\ can free memory more quickly. See \ :java:ref:`com.facebook.jni.HybridData.resetNative`\ .
|
||||
|
||||
forward
|
||||
^^^^^^^
|
||||
|
||||
.. java:method:: public IValue forward(IValue... inputs)
|
||||
:outertype: Module
|
||||
|
||||
Runs the 'forward' method of this module with the specified arguments.
|
||||
|
||||
:param inputs: arguments for the TorchScript module's 'forward' method.
|
||||
:return: return value from the 'forward' method.
|
||||
|
||||
load
|
||||
^^^^
|
||||
|
||||
.. java:method:: public static Module load(String modelPath)
|
||||
:outertype: Module
|
||||
|
||||
Loads a serialized TorchScript module from the specified path on the disk.
|
||||
|
||||
:param modelPath: path to file that contains the serialized TorchScript module.
|
||||
:return: new \ :java:ref:`org.pytorch.Module`\ object which owns torch::jit::script::Module.
|
||||
|
||||
runMethod
|
||||
^^^^^^^^^
|
||||
|
||||
.. java:method:: public IValue runMethod(String methodName, IValue... inputs)
|
||||
:outertype: Module
|
||||
|
||||
Runs the specified method of this module with the specified arguments.
|
||||
|
||||
:param methodName: name of the TorchScript method to run.
|
||||
:param inputs: arguments that will be passed to TorchScript method.
|
||||
:return: return value from the method.
|
||||
60
docs/source/org/pytorch/Tensor-Tensor_float32.rst
Normal file
60
docs/source/org/pytorch/Tensor-Tensor_float32.rst
Normal file
|
|
@ -0,0 +1,60 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_float32
|
||||
=====================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_float32 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Constructors
|
||||
------------
|
||||
Tensor_float32
|
||||
^^^^^^^^^^^^^^
|
||||
|
||||
.. java:constructor:: Tensor_float32(FloatBuffer data, long[] shape)
|
||||
:outertype: Tensor.Tensor_float32
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_float32
|
||||
|
||||
getDataAsFloatArray
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public float[] getDataAsFloatArray()
|
||||
:outertype: Tensor.Tensor_float32
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_float32
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_float32
|
||||
52
docs/source/org/pytorch/Tensor-Tensor_float64.rst
Normal file
52
docs/source/org/pytorch/Tensor-Tensor_float64.rst
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_float64
|
||||
=====================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_float64 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_float64
|
||||
|
||||
getDataAsDoubleArray
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public double[] getDataAsDoubleArray()
|
||||
:outertype: Tensor.Tensor_float64
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_float64
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_float64
|
||||
52
docs/source/org/pytorch/Tensor-Tensor_int32.rst
Normal file
52
docs/source/org/pytorch/Tensor-Tensor_int32.rst
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_int32
|
||||
===================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_int32 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_int32
|
||||
|
||||
getDataAsIntArray
|
||||
^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public int[] getDataAsIntArray()
|
||||
:outertype: Tensor.Tensor_int32
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_int32
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_int32
|
||||
52
docs/source/org/pytorch/Tensor-Tensor_int64.rst
Normal file
52
docs/source/org/pytorch/Tensor-Tensor_int64.rst
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_int64
|
||||
===================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_int64 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_int64
|
||||
|
||||
getDataAsLongArray
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public long[] getDataAsLongArray()
|
||||
:outertype: Tensor.Tensor_int64
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_int64
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_int64
|
||||
52
docs/source/org/pytorch/Tensor-Tensor_int8.rst
Normal file
52
docs/source/org/pytorch/Tensor-Tensor_int8.rst
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_int8
|
||||
==================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_int8 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_int8
|
||||
|
||||
getDataAsByteArray
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public byte[] getDataAsByteArray()
|
||||
:outertype: Tensor.Tensor_int8
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_int8
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_int8
|
||||
52
docs/source/org/pytorch/Tensor-Tensor_uint8.rst
Normal file
52
docs/source/org/pytorch/Tensor-Tensor_uint8.rst
Normal file
|
|
@ -0,0 +1,52 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor.Tensor_uint8
|
||||
===================
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: static class Tensor_uint8 extends Tensor
|
||||
:outertype: Tensor
|
||||
|
||||
Methods
|
||||
-------
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: @Override public DType dtype()
|
||||
:outertype: Tensor.Tensor_uint8
|
||||
|
||||
getDataAsUnsignedByteArray
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public byte[] getDataAsUnsignedByteArray()
|
||||
:outertype: Tensor.Tensor_uint8
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: @Override Buffer getRawDataBuffer()
|
||||
:outertype: Tensor.Tensor_uint8
|
||||
|
||||
toString
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: @Override public String toString()
|
||||
:outertype: Tensor.Tensor_uint8
|
||||
315
docs/source/org/pytorch/Tensor.rst
Normal file
315
docs/source/org/pytorch/Tensor.rst
Normal file
|
|
@ -0,0 +1,315 @@
|
|||
.. java:import:: java.nio Buffer
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio ByteOrder
|
||||
|
||||
.. java:import:: java.nio DoubleBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.nio IntBuffer
|
||||
|
||||
.. java:import:: java.nio LongBuffer
|
||||
|
||||
.. java:import:: java.util Arrays
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
Tensor
|
||||
======
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
:noindex:
|
||||
|
||||
.. java:type:: public abstract class Tensor
|
||||
|
||||
Representation of a Tensor. Behavior is similar to PyTorch's tensor objects.
|
||||
|
||||
Most tensors will be constructed as \ ``Tensor.fromBlob(data, shape)``\ , where \ ``data``\ can be an array or a direct \ :java:ref:`Buffer`\ (of the proper subclass). Helper methods are provided to allocate buffers properly.
|
||||
|
||||
To access Tensor data, see \ :java:ref:`dtype()`\ , \ :java:ref:`shape()`\ , and various \ ``getDataAs*``\ methods.
|
||||
|
||||
When constructing \ ``Tensor``\ objects with \ ``data``\ as an array, it is not specified whether this data is is copied or retained as a reference so it is recommended not to modify it after constructing. \ ``data``\ passed as a \ :java:ref:`Buffer`\ is not copied, so it can be modified between \ :java:ref:`Module`\ calls to avoid reallocation. Data retrieved from \ ``Tensor``\ objects may be copied or may be a reference to the \ ``Tensor``\ 's internal data buffer. \ ``shape``\ is always copied.
|
||||
|
||||
Methods
|
||||
-------
|
||||
allocateByteBuffer
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static ByteBuffer allocateByteBuffer(int numElements)
|
||||
:outertype: Tensor
|
||||
|
||||
Allocates a new direct \ :java:ref:`java.nio.ByteBuffer`\ with native byte order with specified capacity that can be used in \ :java:ref:`Tensor.fromBlob(ByteBuffer,long[])`\ , \ :java:ref:`Tensor.fromBlobUnsigned(ByteBuffer,long[])`\ .
|
||||
|
||||
:param numElements: capacity (number of elements) of result buffer.
|
||||
|
||||
allocateDoubleBuffer
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static DoubleBuffer allocateDoubleBuffer(int numElements)
|
||||
:outertype: Tensor
|
||||
|
||||
Allocates a new direct \ :java:ref:`java.nio.DoubleBuffer`\ with native byte order with specified capacity that can be used in \ :java:ref:`Tensor.fromBlob(DoubleBuffer,long[])`\ .
|
||||
|
||||
:param numElements: capacity (number of elements) of result buffer.
|
||||
|
||||
allocateFloatBuffer
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static FloatBuffer allocateFloatBuffer(int numElements)
|
||||
:outertype: Tensor
|
||||
|
||||
Allocates a new direct \ :java:ref:`java.nio.FloatBuffer`\ with native byte order with specified capacity that can be used in \ :java:ref:`Tensor.fromBlob(FloatBuffer,long[])`\ .
|
||||
|
||||
:param numElements: capacity (number of elements) of result buffer.
|
||||
|
||||
allocateIntBuffer
|
||||
^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static IntBuffer allocateIntBuffer(int numElements)
|
||||
:outertype: Tensor
|
||||
|
||||
Allocates a new direct \ :java:ref:`java.nio.IntBuffer`\ with native byte order with specified capacity that can be used in \ :java:ref:`Tensor.fromBlob(IntBuffer,long[])`\ .
|
||||
|
||||
:param numElements: capacity (number of elements) of result buffer.
|
||||
|
||||
allocateLongBuffer
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static LongBuffer allocateLongBuffer(int numElements)
|
||||
:outertype: Tensor
|
||||
|
||||
Allocates a new direct \ :java:ref:`java.nio.LongBuffer`\ with native byte order with specified capacity that can be used in \ :java:ref:`Tensor.fromBlob(LongBuffer,long[])`\ .
|
||||
|
||||
:param numElements: capacity (number of elements) of result buffer.
|
||||
|
||||
dtype
|
||||
^^^^^
|
||||
|
||||
.. java:method:: public abstract DType dtype()
|
||||
:outertype: Tensor
|
||||
|
||||
:return: data type of this tensor.
|
||||
|
||||
dtypeJniCode
|
||||
^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: int dtypeJniCode()
|
||||
:outertype: Tensor
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(byte[] data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int8 with specified shape and data as array of bytes.
|
||||
|
||||
:param data: Tensor elements
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(int[] data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int32 with specified shape and data as array of ints.
|
||||
|
||||
:param data: Tensor elements
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(float[] data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.float32 with specified shape and data as array of floats.
|
||||
|
||||
:param data: Tensor elements
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(long[] data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int64 with specified shape and data as array of longs.
|
||||
|
||||
:param data: Tensor elements
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(long[] shape, double[] data)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.float64 with specified shape and data as array of doubles.
|
||||
|
||||
:param shape: Tensor shape
|
||||
:param data: Tensor elements
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(ByteBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int8 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(IntBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int32 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(FloatBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.float32 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(LongBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.int64 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlob
|
||||
^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlob(DoubleBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.float64 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlobUnsigned
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlobUnsigned(byte[] data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.uint8 with specified shape and data as array of bytes.
|
||||
|
||||
:param data: Tensor elements
|
||||
:param shape: Tensor shape
|
||||
|
||||
fromBlobUnsigned
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor fromBlobUnsigned(ByteBuffer data, long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Creates a new Tensor instance with dtype torch.uint8 with specified shape and data.
|
||||
|
||||
:param data: Direct buffer with native byte order that contains \ ``Tensor.numel(shape)``\ elements. The buffer is used directly without copying, and changes to its content will change the tensor.
|
||||
:param shape: Tensor shape
|
||||
|
||||
getDataAsByteArray
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public byte[] getDataAsByteArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-int8 tensor.
|
||||
:return: a Java byte array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getDataAsDoubleArray
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public double[] getDataAsDoubleArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-float64 tensor.
|
||||
:return: a Java double array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getDataAsFloatArray
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public float[] getDataAsFloatArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-float32 tensor.
|
||||
:return: a Java float array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getDataAsIntArray
|
||||
^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public int[] getDataAsIntArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-int32 tensor.
|
||||
:return: a Java int array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getDataAsLongArray
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public long[] getDataAsLongArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-int64 tensor.
|
||||
:return: a Java long array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getDataAsUnsignedByteArray
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public byte[] getDataAsUnsignedByteArray()
|
||||
:outertype: Tensor
|
||||
|
||||
:throws IllegalStateException: if it is called for a non-uint8 tensor.
|
||||
:return: a Java byte array that contains the tensor data. This may be a copy or reference.
|
||||
|
||||
getRawDataBuffer
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: Buffer getRawDataBuffer()
|
||||
:outertype: Tensor
|
||||
|
||||
numel
|
||||
^^^^^
|
||||
|
||||
.. java:method:: public long numel()
|
||||
:outertype: Tensor
|
||||
|
||||
Returns the number of elements in this tensor.
|
||||
|
||||
numel
|
||||
^^^^^
|
||||
|
||||
.. java:method:: public static long numel(long[] shape)
|
||||
:outertype: Tensor
|
||||
|
||||
Calculates the number of elements in a tensor with the specified shape.
|
||||
|
||||
shape
|
||||
^^^^^
|
||||
|
||||
.. java:method:: public long[] shape()
|
||||
:outertype: Tensor
|
||||
|
||||
Returns the shape of this tensor. (The array is a fresh copy.)
|
||||
114
docs/source/org/pytorch/TensorImageUtils.rst
Normal file
114
docs/source/org/pytorch/TensorImageUtils.rst
Normal file
|
|
@ -0,0 +1,114 @@
|
|||
.. java:import:: android.graphics Bitmap
|
||||
|
||||
.. java:import:: android.graphics ImageFormat
|
||||
|
||||
.. java:import:: android.media Image
|
||||
|
||||
.. java:import:: org.pytorch Tensor
|
||||
|
||||
.. java:import:: java.nio ByteBuffer
|
||||
|
||||
.. java:import:: java.nio FloatBuffer
|
||||
|
||||
.. java:import:: java.util Locale
|
||||
|
||||
TensorImageUtils
|
||||
================
|
||||
|
||||
.. java:package:: org.pytorch.torchvision
|
||||
:noindex:
|
||||
|
||||
.. java:type:: public final class TensorImageUtils
|
||||
|
||||
Contains utility functions for \ :java:ref:`org.pytorch.Tensor`\ creation from \ :java:ref:`android.graphics.Bitmap`\ or \ :java:ref:`android.media.Image`\ source.
|
||||
|
||||
Fields
|
||||
------
|
||||
TORCHVISION_NORM_MEAN_RGB
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:field:: public static float[] TORCHVISION_NORM_MEAN_RGB
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
TORCHVISION_NORM_STD_RGB
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:field:: public static float[] TORCHVISION_NORM_STD_RGB
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Methods
|
||||
-------
|
||||
bitmapToFloat32Tensor
|
||||
^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor bitmapToFloat32Tensor(Bitmap bitmap, float[] normMeanRGB, float[] normStdRGB)
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Creates new \ :java:ref:`org.pytorch.Tensor`\ from full \ :java:ref:`android.graphics.Bitmap`\ , normalized with specified in parameters mean and std.
|
||||
|
||||
:param normMeanRGB: means for RGB channels normalization, length must equal 3, RGB order
|
||||
:param normStdRGB: standard deviation for RGB channels normalization, length must equal 3, RGB order
|
||||
|
||||
bitmapToFloat32Tensor
|
||||
^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor bitmapToFloat32Tensor(Bitmap bitmap, int x, int y, int width, int height, float[] normMeanRGB, float[] normStdRGB)
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Creates new \ :java:ref:`org.pytorch.Tensor`\ from specified area of \ :java:ref:`android.graphics.Bitmap`\ , normalized with specified in parameters mean and std.
|
||||
|
||||
:param bitmap: \ :java:ref:`android.graphics.Bitmap`\ as a source for Tensor data
|
||||
:param x: - x coordinate of top left corner of bitmap's area
|
||||
:param y: - y coordinate of top left corner of bitmap's area
|
||||
:param width: - width of bitmap's area
|
||||
:param height: - height of bitmap's area
|
||||
:param normMeanRGB: means for RGB channels normalization, length must equal 3, RGB order
|
||||
:param normStdRGB: standard deviation for RGB channels normalization, length must equal 3, RGB order
|
||||
|
||||
bitmapToFloatBuffer
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static void bitmapToFloatBuffer(Bitmap bitmap, int x, int y, int width, int height, float[] normMeanRGB, float[] normStdRGB, FloatBuffer outBuffer, int outBufferOffset)
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Writes tensor content from specified \ :java:ref:`android.graphics.Bitmap`\ , normalized with specified in parameters mean and std to specified \ :java:ref:`java.nio.FloatBuffer`\ with specified offset.
|
||||
|
||||
:param bitmap: \ :java:ref:`android.graphics.Bitmap`\ as a source for Tensor data
|
||||
:param x: - x coordinate of top left corner of bitmap's area
|
||||
:param y: - y coordinate of top left corner of bitmap's area
|
||||
:param width: - width of bitmap's area
|
||||
:param height: - height of bitmap's area
|
||||
:param normMeanRGB: means for RGB channels normalization, length must equal 3, RGB order
|
||||
:param normStdRGB: standard deviation for RGB channels normalization, length must equal 3, RGB order
|
||||
|
||||
imageYUV420CenterCropToFloat32Tensor
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static Tensor imageYUV420CenterCropToFloat32Tensor(Image image, int rotateCWDegrees, int tensorWidth, int tensorHeight, float[] normMeanRGB, float[] normStdRGB)
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Creates new \ :java:ref:`org.pytorch.Tensor`\ from specified area of \ :java:ref:`android.media.Image`\ , doing optional rotation, scaling (nearest) and center cropping.
|
||||
|
||||
:param image: \ :java:ref:`android.media.Image`\ as a source for Tensor data
|
||||
:param rotateCWDegrees: Clockwise angle through which the input image needs to be rotated to be upright. Range of valid values: 0, 90, 180, 270
|
||||
:param tensorWidth: return tensor width, must be positive
|
||||
:param tensorHeight: return tensor height, must be positive
|
||||
:param normMeanRGB: means for RGB channels normalization, length must equal 3, RGB order
|
||||
:param normStdRGB: standard deviation for RGB channels normalization, length must equal 3, RGB order
|
||||
|
||||
imageYUV420CenterCropToFloatBuffer
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. java:method:: public static void imageYUV420CenterCropToFloatBuffer(Image image, int rotateCWDegrees, int tensorWidth, int tensorHeight, float[] normMeanRGB, float[] normStdRGB, FloatBuffer outBuffer, int outBufferOffset)
|
||||
:outertype: TensorImageUtils
|
||||
|
||||
Writes tensor content from specified \ :java:ref:`android.media.Image`\ , doing optional rotation, scaling (nearest) and center cropping to specified \ :java:ref:`java.nio.FloatBuffer`\ with specified offset.
|
||||
|
||||
:param image: \ :java:ref:`android.media.Image`\ as a source for Tensor data
|
||||
:param rotateCWDegrees: Clockwise angle through which the input image needs to be rotated to be upright. Range of valid values: 0, 90, 180, 270
|
||||
:param tensorWidth: return tensor width, must be positive
|
||||
:param tensorHeight: return tensor height, must be positive
|
||||
:param normMeanRGB: means for RGB channels normalization, length must equal 3, RGB order
|
||||
:param normStdRGB: standard deviation for RGB channels normalization, length must equal 3, RGB order
|
||||
:param outBuffer: Output buffer, where tensor content will be written
|
||||
:param outBufferOffset: Output buffer offset with which tensor content will be written
|
||||
18
docs/source/org/pytorch/package-index.rst
Normal file
18
docs/source/org/pytorch/package-index.rst
Normal file
|
|
@ -0,0 +1,18 @@
|
|||
org.pytorch
|
||||
===========
|
||||
|
||||
.. java:package:: org.pytorch
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
|
||||
DType
|
||||
IValue
|
||||
Module
|
||||
Tensor
|
||||
Tensor-Tensor_float32
|
||||
Tensor-Tensor_float64
|
||||
Tensor-Tensor_int32
|
||||
Tensor-Tensor_int64
|
||||
Tensor-Tensor_int8
|
||||
Tensor-Tensor_uint8
|
||||
9
docs/source/org/pytorch/torchvision/package-index.rst
Normal file
9
docs/source/org/pytorch/torchvision/package-index.rst
Normal file
|
|
@ -0,0 +1,9 @@
|
|||
rg.pytorch.torchvision
|
||||
=======================
|
||||
|
||||
.. java:package:: org.pytorch.torchvision
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 1
|
||||
|
||||
TensorImageUtils
|
||||
7
docs/source/packages.rst
Normal file
7
docs/source/packages.rst
Normal file
|
|
@ -0,0 +1,7 @@
|
|||
Javadoc
|
||||
=======
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
org/pytorch/package-index
|
||||
Loading…
Reference in New Issue
Block a user