From 93f5bd571e2787159d892f621266f592af201e86 Mon Sep 17 00:00:00 2001 From: Hansong Zhang Date: Fri, 7 Mar 2025 13:23:12 -0800 Subject: [PATCH] Try to upload javadoc --- docs/source/javadoc/allclasses-index.html | 98 ++ docs/source/javadoc/allpackages-index.html | 65 ++ docs/source/javadoc/constant-values.html | 101 ++ docs/source/javadoc/element-list | 2 + docs/source/javadoc/help-doc.html | 180 ++++ docs/source/javadoc/index-all.html | 524 +++++++++++ docs/source/javadoc/index.html | 67 ++ docs/source/javadoc/jquery-ui.overrides.css | 35 + .../javadoc/legal/ADDITIONAL_LICENSE_INFO | 37 + docs/source/javadoc/legal/ASSEMBLY_EXCEPTION | 27 + docs/source/javadoc/legal/LICENSE | 347 +++++++ docs/source/javadoc/legal/jquery.md | 72 ++ docs/source/javadoc/legal/jqueryUI.md | 49 + docs/source/javadoc/member-search-index.js | 1 + docs/source/javadoc/module-search-index.js | 1 + .../javadoc/org/pytorch/executorch/DType.html | 456 +++++++++ .../org/pytorch/executorch/EValue.html | 344 +++++++ 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docs/source/javadoc/org/pytorch/executorch/package-tree.html create mode 100644 docs/source/javadoc/overview-summary.html create mode 100644 docs/source/javadoc/overview-tree.html create mode 100644 docs/source/javadoc/package-search-index.js create mode 100644 docs/source/javadoc/resources/glass.png create mode 100644 docs/source/javadoc/resources/x.png create mode 100644 docs/source/javadoc/script-dir/jquery-3.6.1.min.js create mode 100644 docs/source/javadoc/script-dir/jquery-ui.min.css create mode 100644 docs/source/javadoc/script-dir/jquery-ui.min.js create mode 100644 docs/source/javadoc/script.js create mode 100644 docs/source/javadoc/search.js create mode 100644 docs/source/javadoc/stylesheet.css create mode 100644 docs/source/javadoc/tag-search-index.js create mode 100644 docs/source/javadoc/type-search-index.js diff --git a/docs/source/javadoc/allclasses-index.html b/docs/source/javadoc/allclasses-index.html new file mode 100644 index 00000000000..0796e4d38dc --- /dev/null +++ b/docs/source/javadoc/allclasses-index.html @@ -0,0 +1,98 @@ + + + + +All Classes and Interfaces (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

All Classes and Interfaces

+
+
+
+
+
+
Class
+
Description
+
DType
+
+
Codes representing tensor data types.
+
+
EValue
+
+
Java representation of an ExecuTorch value, which is implemented as tagged union that can be one + of the supported types: https://pytorch.org/docs/stable/jit.html#types .
+
+
Experimental
+
+
This annotation indicates that an API is experimental and may change or be removed at any time.
+
+
LlamaCallback
+
+
Callback interface for Llama model.
+
+
LlamaModule
+
+
LlamaModule is a wrapper around the Executorch Llama model.
+
+
Module
+
+
Java wrapper for ExecuTorch Module.
+
+
Tensor
+
+
Representation of an ExecuTorch Tensor.
+
+
+
+
+
+
+
+ + diff --git a/docs/source/javadoc/allpackages-index.html b/docs/source/javadoc/allpackages-index.html new file mode 100644 index 00000000000..46068234e3e --- /dev/null +++ b/docs/source/javadoc/allpackages-index.html @@ -0,0 +1,65 @@ + + + + +All Packages (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

All Packages

+
+
Package Summary
+
+
Package
+
Description
+
org.pytorch.executorch
+
 
+
org.pytorch.executorch.annotations
+
 
+
+
+
+
+ + diff --git a/docs/source/javadoc/constant-values.html b/docs/source/javadoc/constant-values.html new file mode 100644 index 00000000000..c832ad09e3e --- /dev/null +++ b/docs/source/javadoc/constant-values.html @@ -0,0 +1,101 @@ + + + + +Constant Field Values (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Constant Field Values

+
+

Contents

+ +
+
+
+

org.pytorch.*

+ +
+
+
+
+ + diff --git a/docs/source/javadoc/element-list b/docs/source/javadoc/element-list new file mode 100644 index 00000000000..0b6132b28ad --- /dev/null +++ b/docs/source/javadoc/element-list @@ -0,0 +1,2 @@ +org.pytorch.executorch +org.pytorch.executorch.annotations diff --git a/docs/source/javadoc/help-doc.html b/docs/source/javadoc/help-doc.html new file mode 100644 index 00000000000..dde067e21bd --- /dev/null +++ b/docs/source/javadoc/help-doc.html @@ -0,0 +1,180 @@ + + + + +API Help (executorch API) + + + + + + + + + + + + + + +
+ +
+
+

JavaDoc Help

+ +
+
+

Navigation

+Starting from the Overview page, you can browse the documentation using the links in each page, and in the navigation bar at the top of each page. The Index and Search box allow you to navigate to specific declarations and summary pages, including: All Packages, All Classes and Interfaces + +
+
+
+

Kinds of Pages

+The following sections describe the different kinds of pages in this collection. +
+

Overview

+

The Overview page is the front page of this API document and provides a list of all packages with a summary for each. This page can also contain an overall description of the set of packages.

+
+
+

Package

+

Each package has a page that contains a list of its classes and interfaces, with a summary for each. These pages may contain the following categories:

+
    +
  • Interfaces
    • +
  • Classes
    • +
  • Enum Classes
    • +
  • Exceptions
    • +
  • Errors
    • +
  • Annotation Interfaces
    • +
+
+
+

Class or Interface

+

Each class, interface, nested class and nested interface has its own separate page. Each of these pages has three sections consisting of a declaration and description, member summary tables, and detailed member descriptions. Entries in each of these sections are omitted if they are empty or not applicable.

+
    +
  • Class Inheritance Diagram
    • +
  • Direct Subclasses
    • +
  • All Known Subinterfaces
    • +
  • All Known Implementing Classes
    • +
  • Class or Interface Declaration
    • +
  • Class or Interface Description
    • +
+
+
    +
  • Nested Class Summary
    • +
  • Enum Constant Summary
    • +
  • Field Summary
    • +
  • Property Summary
    • +
  • Constructor Summary
    • +
  • Method Summary
    • +
  • Required Element Summary
    • +
  • Optional Element Summary
    • +
+
+
    +
  • Enum Constant Details
    • +
  • Field Details
    • +
  • Property Details
    • +
  • Constructor Details
    • +
  • Method Details
    • +
  • Element Details
    • +
+

Note: Annotation interfaces have required and optional elements, but not methods. Only enum classes have enum constants. The components of a record class are displayed as part of the declaration of the record class. Properties are a feature of JavaFX.

+

The summary entries are alphabetical, while the detailed descriptions are in the order they appear in the source code. This preserves the logical groupings established by the programmer.

+
+
+

Other Files

+

Packages and modules may contain pages with additional information related to the declarations nearby.

+
+
+

Tree (Class Hierarchy)

+

There is a Class Hierarchy page for all packages, plus a hierarchy for each package. Each hierarchy page contains a list of classes and a list of interfaces. Classes are organized by inheritance structure starting with java.lang.Object. Interfaces do not inherit from java.lang.Object.

+
    +
  • When viewing the Overview page, clicking on TREE displays the hierarchy for all packages.
    • +
  • When viewing a particular package, class or interface page, clicking on TREE displays the hierarchy for only that package.
    • +
+
+
+

Constant Field Values

+

The Constant Field Values page lists the static final fields and their values.

+
+
+

All Packages

+

The All Packages page contains an alphabetic index of all packages contained in the documentation.

+
+
+

All Classes and Interfaces

+

The All Classes and Interfaces page contains an alphabetic index of all classes and interfaces contained in the documentation, including annotation interfaces, enum classes, and record classes.

+
+
+

Index

+

The Index contains an alphabetic index of all classes, interfaces, constructors, methods, and fields in the documentation, as well as summary pages such as All Packages, All Classes and Interfaces.

+
+
+
+This help file applies to API documentation generated by the standard doclet.
+
+
+ + diff --git a/docs/source/javadoc/index-all.html b/docs/source/javadoc/index-all.html new file mode 100644 index 00000000000..7772a1bb30f --- /dev/null +++ b/docs/source/javadoc/index-all.html @@ -0,0 +1,524 @@ + + + + +Index (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Index

+
+A B C D E F G H I L M N O P Q R S T U V 
All Classes and Interfaces|All Packages|Constant Field Values +

A

+
+
allocateByteBuffer(int) - Static method in class org.pytorch.executorch.Tensor
+
+
Allocates a new direct ByteBuffer with native byte order with specified capacity that + can be used in fromBlob(ByteBuffer, long[]), fromBlobUnsigned(ByteBuffer, long[]).
+
+
allocateDoubleBuffer(int) - Static method in class org.pytorch.executorch.Tensor
+
+
Allocates a new direct DoubleBuffer with native byte order with specified capacity that + can be used in fromBlob(DoubleBuffer, long[]).
+
+
allocateFloatBuffer(int) - Static method in class org.pytorch.executorch.Tensor
+
+
Allocates a new direct FloatBuffer with native byte order with specified capacity that + can be used in fromBlob(FloatBuffer, long[]).
+
+
allocateIntBuffer(int) - Static method in class org.pytorch.executorch.Tensor
+
+
Allocates a new direct IntBuffer with native byte order with specified capacity that + can be used in fromBlob(IntBuffer, long[]).
+
+
allocateLongBuffer(int) - Static method in class org.pytorch.executorch.Tensor
+
+
Allocates a new direct LongBuffer with native byte order with specified capacity that + can be used in fromBlob(LongBuffer, long[]).
+
+
+

B

+
+
BFLOAT16 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::BFloat16
+
+
BITS16 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bits16
+
+
BITS1X8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bits1x8
+
+
BITS2X4 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bits2x4
+
+
BITS4X2 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bits4x2
+
+
BITS8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bits8
+
+
BOOL - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Bool
+
+
+

C

+
+
COMPLEX_DOUBLE - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::ComplexDouble
+
+
COMPLEX_FLOAT - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::ComplexFloat
+
+
COMPLEX_HALF - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::ComplexHalf
+
+
+

D

+
+
destroy() - Method in class org.pytorch.executorch.Module
+
+
Explicitly destroys the native torch::jit::Module.
+
+
DOUBLE - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Double
+
+
dtype() - Method in class org.pytorch.executorch.Tensor
+
 
+
DType - Enum Class in org.pytorch.executorch
+
+
Codes representing tensor data types.
+
+
+

E

+
+
EValue - Class in org.pytorch.executorch
+
+
Java representation of an ExecuTorch value, which is implemented as tagged union that can be one + of the supported types: https://pytorch.org/docs/stable/jit.html#types .
+
+
execute(String, EValue...) - Method in class org.pytorch.executorch.Module
+
+
Runs the specified method of this module with the specified arguments.
+
+
Experimental - Annotation Interface in org.pytorch.executorch.annotations
+
+
This annotation indicates that an API is experimental and may change or be removed at any time.
+
+
+

F

+
+
FLOAT - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Float
+
+
forward(EValue...) - Method in class org.pytorch.executorch.Module
+
+
Runs the 'forward' method of this module with the specified arguments.
+
+
from(boolean) - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type bool.
+
+
from(double) - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type double.
+
+
from(long) - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type int.
+
+
from(String) - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type str.
+
+
from(Tensor) - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type Tensor.
+
+
fromBlob(byte[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int8 with specified shape and data as array of + bytes.
+
+
fromBlob(double[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.float64 with specified shape and data as array + of doubles.
+
+
fromBlob(float[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.float32 with specified shape and data as array + of floats.
+
+
fromBlob(int[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int32 with specified shape and data as array of + ints.
+
+
fromBlob(long[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int64 with specified shape and data as array of + longs.
+
+
fromBlob(ByteBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int8 with specified shape and data.
+
+
fromBlob(DoubleBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.float64 with specified shape and data.
+
+
fromBlob(FloatBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.float32 with specified shape and data.
+
+
fromBlob(IntBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int32 with specified shape and data.
+
+
fromBlob(LongBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.int64 with specified shape and data.
+
+
fromBlobUnsigned(byte[], long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.uint8 with specified shape and data as array of + bytes.
+
+
fromBlobUnsigned(ByteBuffer, long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Creates a new Tensor instance with dtype torch.uint8 with specified shape and data.
+
+
fromByteArray(byte[]) - Static method in class org.pytorch.executorch.EValue
+
+
Deserializes an EValue from a byte[].
+
+
fromByteArray(byte[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Deserializes a Tensor from a byte[].
+
+
+

G

+
+
generate(int[], int, int, int, String, int, LlamaCallback, boolean) - Method in class org.pytorch.executorch.LlamaModule
+
+
Start generating tokens from the module.
+
+
generate(String, int, LlamaCallback) - Method in class org.pytorch.executorch.LlamaModule
+
+
Start generating tokens from the module.
+
+
generate(String, int, LlamaCallback, boolean) - Method in class org.pytorch.executorch.LlamaModule
+
+
Start generating tokens from the module.
+
+
generate(String, LlamaCallback) - Method in class org.pytorch.executorch.LlamaModule
+
+
Start generating tokens from the module.
+
+
generate(String, LlamaCallback, boolean) - Method in class org.pytorch.executorch.LlamaModule
+
+
Start generating tokens from the module.
+
+
generateFromPos(String, int, long, LlamaCallback, boolean) - Method in class org.pytorch.executorch.LlamaModule
+
+
Generate tokens from the given prompt, starting from the given position.
+
+
getDataAsByteArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
getDataAsDoubleArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
getDataAsFloatArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
getDataAsIntArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
getDataAsLongArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
getDataAsUnsignedByteArray() - Method in class org.pytorch.executorch.Tensor
+
 
+
+

H

+
+
HALF - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Half
+
+
+

I

+
+
INT16 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Short
+
+
INT32 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Int
+
+
INT64 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Long
+
+
INT8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Char
+
+
isBool() - Method in class org.pytorch.executorch.EValue
+
 
+
isDouble() - Method in class org.pytorch.executorch.EValue
+
 
+
isInt() - Method in class org.pytorch.executorch.EValue
+
 
+
isNone() - Method in class org.pytorch.executorch.EValue
+
 
+
isString() - Method in class org.pytorch.executorch.EValue
+
 
+
isTensor() - Method in class org.pytorch.executorch.EValue
+
 
+
+

L

+
+
LlamaCallback - Interface in org.pytorch.executorch
+
+
Callback interface for Llama model.
+
+
LlamaModule - Class in org.pytorch.executorch
+
+
LlamaModule is a wrapper around the Executorch Llama model.
+
+
LlamaModule(int, String, String, float) - Constructor for class org.pytorch.executorch.LlamaModule
+
+
Constructs a LLM Module for a model with given path, tokenizer, and temperature.
+
+
LlamaModule(String, String, float) - Constructor for class org.pytorch.executorch.LlamaModule
+
+
Constructs a LLAMA Module for a model with given path, tokenizer, and temperature.
+
+
load() - Method in class org.pytorch.executorch.LlamaModule
+
+
Force loading the module.
+
+
load(String) - Static method in class org.pytorch.executorch.Module
+
+
Loads a serialized ExecuTorch module from the specified path on the disk to run on CPU.
+
+
load(String, int) - Static method in class org.pytorch.executorch.Module
+
+
Loads a serialized ExecuTorch module from the specified path on the disk.
+
+
LOAD_MODE_FILE - Static variable in class org.pytorch.executorch.Module
+
+
Load mode for the module.
+
+
LOAD_MODE_MMAP - Static variable in class org.pytorch.executorch.Module
+
+
Load mode for the module.
+
+
LOAD_MODE_MMAP_USE_MLOCK - Static variable in class org.pytorch.executorch.Module
+
+
Load mode for the module.
+
+
LOAD_MODE_MMAP_USE_MLOCK_IGNORE_ERRORS - Static variable in class org.pytorch.executorch.Module
+
+
Load mode for the module.
+
+
loadMethod(String) - Method in class org.pytorch.executorch.Module
+
+
Load a method on this module.
+
+
+

M

+
+
MODEL_TYPE_TEXT - Static variable in class org.pytorch.executorch.LlamaModule
+
 
+
MODEL_TYPE_TEXT_VISION - Static variable in class org.pytorch.executorch.LlamaModule
+
 
+
Module - Class in org.pytorch.executorch
+
+
Java wrapper for ExecuTorch Module.
+
+
+

N

+
+
numel() - Method in class org.pytorch.executorch.Tensor
+
+
Returns the number of elements in this tensor.
+
+
numel(long[]) - Static method in class org.pytorch.executorch.Tensor
+
+
Calculates the number of elements in a tensor with the specified shape.
+
+
+

O

+
+
onResult(String) - Method in interface org.pytorch.executorch.LlamaCallback
+
+
Called when a new result is available from JNI.
+
+
onStats(float) - Method in interface org.pytorch.executorch.LlamaCallback
+
+
Called when the statistics for the generate() is available.
+
+
optionalNone() - Static method in class org.pytorch.executorch.EValue
+
+
Creates a new EValue of type Optional that contains no value.
+
+
org.pytorch.executorch - package org.pytorch.executorch
+
 
+
org.pytorch.executorch.annotations - package org.pytorch.executorch.annotations
+
 
+
+

P

+
+
prefillImages(int[], int, int, int, long) - Method in class org.pytorch.executorch.LlamaModule
+
+
Prefill an LLaVA Module with the given images input.
+
+
prefillPrompt(String, long, int, int) - Method in class org.pytorch.executorch.LlamaModule
+
+
Prefill an LLaVA Module with the given text input.
+
+
+

Q

+
+
QINT2X4 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::QUInt2x4
+
+
QINT32 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::QInt32
+
+
QINT4X2 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::QUInt4x2
+
+
QINT8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::QInt8
+
+
QUINT8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::QUInt8
+
+
+

R

+
+
readLogBuffer() - Method in class org.pytorch.executorch.Module
+
+
Retrieve the in-memory log buffer, containing the most recent ExecuTorch log entries.
+
+
resetNative() - Method in class org.pytorch.executorch.LlamaModule
+
 
+
+

S

+
+
shape() - Method in class org.pytorch.executorch.Tensor
+
+
Returns the shape of this tensor.
+
+
stop() - Method in class org.pytorch.executorch.LlamaModule
+
+
Stop current generate() before it finishes.
+
+
+

T

+
+
Tensor - Class in org.pytorch.executorch
+
+
Representation of an ExecuTorch Tensor.
+
+
toBool() - Method in class org.pytorch.executorch.EValue
+
 
+
toByteArray() - Method in class org.pytorch.executorch.EValue
+
+
Serializes an EValue into a byte array.
+
+
toByteArray() - Method in class org.pytorch.executorch.Tensor
+
+
Serializes a Tensor into a byte array.
+
+
toDouble() - Method in class org.pytorch.executorch.EValue
+
 
+
toInt() - Method in class org.pytorch.executorch.EValue
+
 
+
toStr() - Method in class org.pytorch.executorch.EValue
+
 
+
toTensor() - Method in class org.pytorch.executorch.EValue
+
 
+
+

U

+
+
UINT8 - Enum constant in enum class org.pytorch.executorch.DType
+
+
Code for dtype ScalarType::Byte
+
+
+

V

+
+
valueOf(String) - Static method in enum class org.pytorch.executorch.DType
+
+
Returns the enum constant of this class with the specified name.
+
+
values() - Static method in enum class org.pytorch.executorch.DType
+
+
Returns an array containing the constants of this enum class, in +the order they are declared.
+
+
+A B C D E F G H I L M N O P Q R S T U V 
All Classes and Interfaces|All Packages|Constant Field Values
+
+
+ + diff --git a/docs/source/javadoc/index.html b/docs/source/javadoc/index.html new file mode 100644 index 00000000000..df03f74e3ac --- /dev/null +++ b/docs/source/javadoc/index.html @@ -0,0 +1,67 @@ + + + + +Overview (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

executorch API

+
+
+
Packages
+
+
Package
+
Description
+
org.pytorch.executorch
+
 
+
org.pytorch.executorch.annotations
+
 
+
+
+
+
+
+ + diff --git a/docs/source/javadoc/jquery-ui.overrides.css b/docs/source/javadoc/jquery-ui.overrides.css new file mode 100644 index 00000000000..facf852c27f --- /dev/null +++ b/docs/source/javadoc/jquery-ui.overrides.css @@ -0,0 +1,35 @@ +/* + * Copyright (c) 2020, 2022, Oracle and/or its affiliates. All rights reserved. + * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. + * + * This code is free software; you can redistribute it and/or modify it + * under the terms of the GNU General Public License version 2 only, as + * published by the Free Software Foundation. Oracle designates this + * particular file as subject to the "Classpath" exception as provided + * by Oracle in the LICENSE file that accompanied this code. + * + * This code is distributed in the hope that it will be useful, but WITHOUT + * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or + * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License + * version 2 for more details (a copy is included in the LICENSE file that + * accompanied this code). + * + * You should have received a copy of the GNU General Public License version + * 2 along with this work; if not, write to the Free Software Foundation, + * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. + * + * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA + * or visit www.oracle.com if you need additional information or have any + * questions. + */ + +.ui-state-active, +.ui-widget-content .ui-state-active, +.ui-widget-header .ui-state-active, +a.ui-button:active, +.ui-button:active, +.ui-button.ui-state-active:hover { + /* Overrides the color of selection used in jQuery UI */ + background: #F8981D; + border: 1px solid #F8981D; +} diff --git a/docs/source/javadoc/legal/ADDITIONAL_LICENSE_INFO b/docs/source/javadoc/legal/ADDITIONAL_LICENSE_INFO new file mode 100644 index 00000000000..ff700cd09f6 --- /dev/null +++ b/docs/source/javadoc/legal/ADDITIONAL_LICENSE_INFO @@ -0,0 +1,37 @@ + ADDITIONAL INFORMATION ABOUT LICENSING + +Certain files distributed by Oracle America, Inc. and/or its affiliates are +subject to the following clarification and special exception to the GPLv2, +based on the GNU Project exception for its Classpath libraries, known as the +GNU Classpath Exception. + +Note that Oracle includes multiple, independent programs in this software +package. Some of those programs are provided under licenses deemed +incompatible with the GPLv2 by the Free Software Foundation and others. +For example, the package includes programs licensed under the Apache +License, Version 2.0 and may include FreeType. Such programs are licensed +to you under their original licenses. + +Oracle facilitates your further distribution of this package by adding the +Classpath Exception to the necessary parts of its GPLv2 code, which permits +you to use that code in combination with other independent modules not +licensed under the GPLv2. However, note that this would not permit you to +commingle code under an incompatible license with Oracle's GPLv2 licensed +code by, for example, cutting and pasting such code into a file also +containing Oracle's GPLv2 licensed code and then distributing the result. + +Additionally, if you were to remove the Classpath Exception from any of the +files to which it applies and distribute the result, you would likely be +required to license some or all of the other code in that distribution under +the GPLv2 as well, and since the GPLv2 is incompatible with the license terms +of some items included in the distribution by Oracle, removing the Classpath +Exception could therefore effectively compromise your ability to further +distribute the package. + +Failing to distribute notices associated with some files may also create +unexpected legal consequences. + +Proceed with caution and we recommend that you obtain the advice of a lawyer +skilled in open source matters before removing the Classpath Exception or +making modifications to this package which may subsequently be redistributed +and/or involve the use of third party software. diff --git a/docs/source/javadoc/legal/ASSEMBLY_EXCEPTION b/docs/source/javadoc/legal/ASSEMBLY_EXCEPTION new file mode 100644 index 00000000000..065b8d90239 --- /dev/null +++ b/docs/source/javadoc/legal/ASSEMBLY_EXCEPTION @@ -0,0 +1,27 @@ + +OPENJDK ASSEMBLY EXCEPTION + +The OpenJDK source code made available by Oracle America, Inc. (Oracle) at +openjdk.java.net ("OpenJDK Code") is distributed under the terms of the GNU +General Public License version 2 +only ("GPL2"), with the following clarification and special exception. + + Linking this OpenJDK Code statically or dynamically with other code + is making a combined work based on this library. Thus, the terms + and conditions of GPL2 cover the whole combination. + + As a special exception, Oracle gives you permission to link this + OpenJDK Code with certain code licensed by Oracle as indicated at + http://openjdk.java.net/legal/exception-modules-2007-05-08.html + ("Designated Exception Modules") to produce an executable, + regardless of the license terms of the Designated Exception Modules, + and to copy and distribute the resulting executable under GPL2, + provided that the Designated Exception Modules continue to be + governed by the licenses under which they were offered by Oracle. + +As such, it allows licensees and sublicensees of Oracle's GPL2 OpenJDK Code +to build an executable that includes those portions of necessary code that +Oracle could not provide under GPL2 (or that Oracle has provided under GPL2 +with the Classpath exception). 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If this is what you want to do, use the GNU Library General Public +License instead of this License. + + +"CLASSPATH" EXCEPTION TO THE GPL + +Certain source files distributed by Oracle America and/or its affiliates are +subject to the following clarification and special exception to the GPL, but +only where Oracle has expressly included in the particular source file's header +the words "Oracle designates this particular file as subject to the "Classpath" +exception as provided by Oracle in the LICENSE file that accompanied this code." + + Linking this library statically or dynamically with other modules is making + a combined work based on this library. Thus, the terms and conditions of + the GNU General Public License cover the whole combination. + + As a special exception, the copyright holders of this library give you + permission to link this library with independent modules to produce an + executable, regardless of the license terms of these independent modules, + and to copy and distribute the resulting executable under terms of your + choice, provided that you also meet, for each linked independent module, + the terms and conditions of the license of that module. An independent + module is a module which is not derived from or based on this library. If + you modify this library, you may extend this exception to your version of + the library, but you are not obligated to do so. If you do not wish to do + so, delete this exception statement from your version. diff --git a/docs/source/javadoc/legal/jquery.md b/docs/source/javadoc/legal/jquery.md new file mode 100644 index 00000000000..d468b3183a7 --- /dev/null +++ b/docs/source/javadoc/legal/jquery.md @@ -0,0 +1,72 @@ +## jQuery v3.6.1 + +### jQuery License +``` +jQuery v 3.6.1 +Copyright OpenJS Foundation and other contributors, https://openjsf.org/ + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +****************************************** + +The jQuery JavaScript Library v3.6.1 also includes Sizzle.js + +Sizzle.js includes the following license: + +Copyright JS Foundation and other contributors, https://js.foundation/ + +This software consists of voluntary contributions made by many +individuals. For exact contribution history, see the revision history +available at https://github.com/jquery/sizzle + +The following license applies to all parts of this software except as +documented below: + +==== + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +==== + +All files located in the node_modules and external directories are +externally maintained libraries used by this software which have their +own licenses; we recommend you read them, as their terms may differ from +the terms above. + +********************* + +``` diff --git a/docs/source/javadoc/legal/jqueryUI.md b/docs/source/javadoc/legal/jqueryUI.md new file mode 100644 index 00000000000..8bda9d7a85e --- /dev/null +++ b/docs/source/javadoc/legal/jqueryUI.md @@ -0,0 +1,49 @@ +## jQuery UI v1.13.2 + +### jQuery UI License +``` +Copyright jQuery Foundation and other contributors, https://jquery.org/ + +This software consists of voluntary contributions made by many +individuals. For exact contribution history, see the revision history +available at https://github.com/jquery/jquery-ui + +The following license applies to all parts of this software except as +documented below: + +==== + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +==== + +Copyright and related rights for sample code are waived via CC0. Sample +code is defined as all source code contained within the demos directory. + +CC0: http://creativecommons.org/publicdomain/zero/1.0/ + +==== + +All files located in the node_modules and external directories are +externally maintained libraries used by this software which have their +own licenses; we recommend you read them, as their terms may differ from +the terms above. + +``` diff --git a/docs/source/javadoc/member-search-index.js b/docs/source/javadoc/member-search-index.js new file mode 100644 index 00000000000..8cd87946887 --- /dev/null +++ b/docs/source/javadoc/member-search-index.js @@ -0,0 +1 @@ +memberSearchIndex = 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\ No newline at end of file diff --git a/docs/source/javadoc/module-search-index.js b/docs/source/javadoc/module-search-index.js new file mode 100644 index 00000000000..0d59754fc4a --- /dev/null +++ b/docs/source/javadoc/module-search-index.js @@ -0,0 +1 @@ +moduleSearchIndex = [];updateSearchResults(); \ No newline at end of file diff --git a/docs/source/javadoc/org/pytorch/executorch/DType.html b/docs/source/javadoc/org/pytorch/executorch/DType.html new file mode 100644 index 00000000000..78d015dfbb4 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/DType.html @@ -0,0 +1,456 @@ + + + + +DType (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Enum Class DType

+
+
java.lang.Object +
java.lang.Enum<DType> +
org.pytorch.executorch.DType
+
+
+
+
+
All Implemented Interfaces:
+
Serializable, Comparable<DType>, Constable
+
+
+
public enum DType +extends Enum<DType>
+
Codes representing tensor data types. + +

Warning: These APIs are experimental and subject to change without notice

+
+
+
    + +
  • +
    +

    Nested Class Summary

    +
    +

    Nested classes/interfaces inherited from class java.lang.Enum

    +Enum.EnumDesc<E extends Enum<E>>
    +
    +
    • + +
  • +
    +

    Enum Constant Summary

    +
    Enum Constants
    +
    +
    Enum Constant
    +
    Description
    +
    BFLOAT16
    +
    +
    Code for dtype ScalarType::BFloat16
    +
    +
    BITS16
    +
    +
    Code for dtype ScalarType::Bits16
    +
    +
    BITS1X8
    +
    +
    Code for dtype ScalarType::Bits1x8
    +
    +
    BITS2X4
    +
    +
    Code for dtype ScalarType::Bits2x4
    +
    +
    BITS4X2
    +
    +
    Code for dtype ScalarType::Bits4x2
    +
    +
    BITS8
    +
    +
    Code for dtype ScalarType::Bits8
    +
    +
    BOOL
    +
    +
    Code for dtype ScalarType::Bool
    +
    +
    COMPLEX_DOUBLE
    +
    +
    Code for dtype ScalarType::ComplexDouble
    +
    +
    COMPLEX_FLOAT
    +
    +
    Code for dtype ScalarType::ComplexFloat
    +
    +
    COMPLEX_HALF
    +
    +
    Code for dtype ScalarType::ComplexHalf
    +
    +
    DOUBLE
    +
    +
    Code for dtype ScalarType::Double
    +
    +
    FLOAT
    +
    +
    Code for dtype ScalarType::Float
    +
    +
    HALF
    +
    +
    Code for dtype ScalarType::Half
    +
    +
    INT16
    +
    +
    Code for dtype ScalarType::Short
    +
    +
    INT32
    +
    +
    Code for dtype ScalarType::Int
    +
    +
    INT64
    +
    +
    Code for dtype ScalarType::Long
    +
    +
    INT8
    +
    +
    Code for dtype ScalarType::Char
    +
    +
    QINT2X4
    +
    +
    Code for dtype ScalarType::QUInt2x4
    +
    +
    QINT32
    +
    +
    Code for dtype ScalarType::QInt32
    +
    +
    QINT4X2
    +
    +
    Code for dtype ScalarType::QUInt4x2
    +
    +
    QINT8
    +
    +
    Code for dtype ScalarType::QInt8
    +
    +
    QUINT8
    +
    +
    Code for dtype ScalarType::QUInt8
    +
    +
    UINT8
    +
    +
    Code for dtype ScalarType::Byte
    +
    +
    +
    +
    • + +
  • +
    +

    Method Summary

    +
    +
    +
    +
    +
    Modifier and Type
    +
    Method
    +
    Description
    +
    static DType
    +
    valueOf(String name)
    +
    +
    Returns the enum constant of this class with the specified name.
    +
    +
    static DType[]
    +
    values()
    +
    +
    Returns an array containing the constants of this enum class, in +the order they are declared.
    +
    +
    +
    +
    +
    +

    Methods inherited from class java.lang.Enum

    +clone, compareTo, describeConstable, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf
    +
    +

    Methods inherited from class java.lang.Object

    +getClass, notify, notifyAll, wait, wait, wait
    +
    +
    • +
+
+
+
    + +
  • +
    +

    Enum Constant Details

    +
      +
    • +
      +

      UINT8

      +
      public static final DType UINT8
      +
      Code for dtype ScalarType::Byte
      +
      +
      • +
    • +
      +

      INT8

      +
      public static final DType INT8
      +
      Code for dtype ScalarType::Char
      +
      +
      • +
    • +
      +

      INT16

      +
      public static final DType INT16
      +
      Code for dtype ScalarType::Short
      +
      +
      • +
    • +
      +

      INT32

      +
      public static final DType INT32
      +
      Code for dtype ScalarType::Int
      +
      +
      • +
    • +
      +

      INT64

      +
      public static final DType INT64
      +
      Code for dtype ScalarType::Long
      +
      +
      • +
    • +
      +

      HALF

      +
      public static final DType HALF
      +
      Code for dtype ScalarType::Half
      +
      +
      • +
    • +
      +

      FLOAT

      +
      public static final DType FLOAT
      +
      Code for dtype ScalarType::Float
      +
      +
      • +
    • +
      +

      DOUBLE

      +
      public static final DType DOUBLE
      +
      Code for dtype ScalarType::Double
      +
      +
      • +
    • +
      +

      COMPLEX_HALF

      +
      public static final DType COMPLEX_HALF
      +
      Code for dtype ScalarType::ComplexHalf
      +
      +
      • +
    • +
      +

      COMPLEX_FLOAT

      +
      public static final DType COMPLEX_FLOAT
      +
      Code for dtype ScalarType::ComplexFloat
      +
      +
      • +
    • +
      +

      COMPLEX_DOUBLE

      +
      public static final DType COMPLEX_DOUBLE
      +
      Code for dtype ScalarType::ComplexDouble
      +
      +
      • +
    • +
      +

      BOOL

      +
      public static final DType BOOL
      +
      Code for dtype ScalarType::Bool
      +
      +
      • +
    • +
      +

      QINT8

      +
      public static final DType QINT8
      +
      Code for dtype ScalarType::QInt8
      +
      +
      • +
    • +
      +

      QUINT8

      +
      public static final DType QUINT8
      +
      Code for dtype ScalarType::QUInt8
      +
      +
      • +
    • +
      +

      QINT32

      +
      public static final DType QINT32
      +
      Code for dtype ScalarType::QInt32
      +
      +
      • +
    • +
      +

      BFLOAT16

      +
      public static final DType BFLOAT16
      +
      Code for dtype ScalarType::BFloat16
      +
      +
      • +
    • +
      +

      QINT4X2

      +
      public static final DType QINT4X2
      +
      Code for dtype ScalarType::QUInt4x2
      +
      +
      • +
    • +
      +

      QINT2X4

      +
      public static final DType QINT2X4
      +
      Code for dtype ScalarType::QUInt2x4
      +
      +
      • +
    • +
      +

      BITS1X8

      +
      public static final DType BITS1X8
      +
      Code for dtype ScalarType::Bits1x8
      +
      +
      • +
    • +
      +

      BITS2X4

      +
      public static final DType BITS2X4
      +
      Code for dtype ScalarType::Bits2x4
      +
      +
      • +
    • +
      +

      BITS4X2

      +
      public static final DType BITS4X2
      +
      Code for dtype ScalarType::Bits4x2
      +
      +
      • +
    • +
      +

      BITS8

      +
      public static final DType BITS8
      +
      Code for dtype ScalarType::Bits8
      +
      +
      • +
    • +
      +

      BITS16

      +
      public static final DType BITS16
      +
      Code for dtype ScalarType::Bits16
      +
      +
      • +
    +
    +
    • + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      values

      +
      public static DType[] values()
      +
      Returns an array containing the constants of this enum class, in +the order they are declared.
      +
      +
      Returns:
      +
      an array containing the constants of this enum class, in the order they are declared
      +
      +
      +
      • +
    • +
      +

      valueOf

      +
      public static DType valueOf(String name)
      +
      Returns the enum constant of this class with the specified name. +The string must match exactly an identifier used to declare an +enum constant in this class. (Extraneous whitespace characters are +not permitted.)
      +
      +
      Parameters:
      +
      name - the name of the enum constant to be returned.
      +
      Returns:
      +
      the enum constant with the specified name
      +
      Throws:
      +
      IllegalArgumentException - if this enum class has no constant with the specified name
      +
      NullPointerException - if the argument is null
      +
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/EValue.html b/docs/source/javadoc/org/pytorch/executorch/EValue.html new file mode 100644 index 00000000000..dc73f16cf49 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/EValue.html @@ -0,0 +1,344 @@ + + + + +EValue (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Class EValue

+
+
java.lang.Object +
org.pytorch.executorch.EValue
+
+
+
+
public class EValue +extends Object
+
Java representation of an ExecuTorch value, which is implemented as tagged union that can be one + of the supported types: https://pytorch.org/docs/stable/jit.html#types . + +

Calling toX methods for inappropriate types will throw IllegalStateException. + +

EValue objects are constructed with EValue.from(value), + EValue.tupleFrom(value1, value2, ...), EValue.listFrom(value1, value2, ...), or one of + the dict methods, depending on the key type. + +

Data is retrieved from EValue objects with the toX() methods. Note that + str-type EValues must be extracted with toStr(), rather than Object.toString(). + +

EValue objects may retain references to objects passed into their constructors, and + may return references to their internal state from toX(). + +

Warning: These APIs are experimental and subject to change without notice

+
+
+ +
+
+
    + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      isNone

      +
      public boolean isNone()
      +
      +
      • +
    • +
      +

      isTensor

      +
      public boolean isTensor()
      +
      +
      • +
    • +
      +

      isBool

      +
      public boolean isBool()
      +
      +
      • +
    • +
      +

      isInt

      +
      public boolean isInt()
      +
      +
      • +
    • +
      +

      isDouble

      +
      public boolean isDouble()
      +
      +
      • +
    • +
      +

      isString

      +
      public boolean isString()
      +
      +
      • +
    • +
      +

      optionalNone

      +
      public static EValue optionalNone()
      +
      Creates a new EValue of type Optional that contains no value.
      +
      +
      • +
    • +
      +

      from

      +
      public static EValue from(Tensor tensor)
      +
      Creates a new EValue of type Tensor.
      +
      +
      • +
    • +
      +

      from

      +
      public static EValue from(boolean value)
      +
      Creates a new EValue of type bool.
      +
      +
      • +
    • +
      +

      from

      +
      public static EValue from(long value)
      +
      Creates a new EValue of type int.
      +
      +
      • +
    • +
      +

      from

      +
      public static EValue from(double value)
      +
      Creates a new EValue of type double.
      +
      +
      • +
    • +
      +

      from

      +
      public static EValue from(String value)
      +
      Creates a new EValue of type str.
      +
      +
      • +
    • +
      +

      toTensor

      +
      public Tensor toTensor()
      +
      +
      • +
    • +
      +

      toBool

      +
      public boolean toBool()
      +
      +
      • +
    • +
      +

      toInt

      +
      public long toInt()
      +
      +
      • +
    • +
      +

      toDouble

      +
      public double toDouble()
      +
      +
      • +
    • +
      +

      toStr

      +
      public String toStr()
      +
      +
      • +
    • +
      +

      toByteArray

      +
      public byte[] toByteArray()
      +
      Serializes an EValue into a byte array. + Note: This method is experimental and subject to change without notice.
      +
      +
      Returns:
      +
      The serialized byte array.
      +
      +
      +
      • +
    • +
      +

      fromByteArray

      +
      public static EValue fromByteArray(byte[] bytes)
      +
      Deserializes an EValue from a byte[]. + Note: This method is experimental and subject to change without notice.
      +
      +
      Parameters:
      +
      bytes - The byte array to deserialize from.
      +
      Returns:
      +
      The deserialized EValue.
      +
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/LlamaCallback.html b/docs/source/javadoc/org/pytorch/executorch/LlamaCallback.html new file mode 100644 index 00000000000..4369d8322d3 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/LlamaCallback.html @@ -0,0 +1,151 @@ + + + + +LlamaCallback (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Interface LlamaCallback

+
+
+
+
public interface LlamaCallback
+
Callback interface for Llama model. Users can implement this interface to receive the generated + tokens and statistics. + +

Warning: These APIs are experimental and subject to change without notice

+
+
+
    + +
  • +
    +

    Method Summary

    +
    +
    +
    +
    +
    Modifier and Type
    +
    Method
    +
    Description
    +
    void
    +
    onResult(String result)
    +
    +
    Called when a new result is available from JNI.
    +
    +
    void
    +
    onStats(float tps)
    +
    +
    Called when the statistics for the generate() is available.
    +
    +
    +
    +
    +
    +
    • +
+
+
+
    + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      onResult

      +
      void onResult(String result)
      +
      Called when a new result is available from JNI. Users will keep getting onResult() invocations + until generate() finishes.
      +
      +
      Parameters:
      +
      result - Last generated token
      +
      +
      +
      • +
    • +
      +

      onStats

      +
      void onStats(float tps)
      +
      Called when the statistics for the generate() is available.
      +
      +
      Parameters:
      +
      tps - Tokens/second for generated tokens.
      +
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/LlamaModule.html b/docs/source/javadoc/org/pytorch/executorch/LlamaModule.html new file mode 100644 index 00000000000..b42e5ca0db2 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/LlamaModule.html @@ -0,0 +1,480 @@ + + + + +LlamaModule (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Class LlamaModule

+
+
java.lang.Object +
org.pytorch.executorch.LlamaModule
+
+
+
+
public class LlamaModule +extends Object
+
LlamaModule is a wrapper around the Executorch Llama model. It provides a simple interface to + generate text from the model. + +

Warning: These APIs are experimental and subject to change without notice

+
+
+
    + +
  • +
    +

    Field Summary

    +
    Fields
    +
    +
    Modifier and Type
    +
    Field
    +
    Description
    +
    static final int
    +
    MODEL_TYPE_TEXT
    +
     
    +
    static final int
    +
    MODEL_TYPE_TEXT_VISION
    +
     
    +
    +
    +
    • + +
  • +
    +

    Constructor Summary

    +
    Constructors
    +
    +
    Constructor
    +
    Description
    +
    LlamaModule(int modelType, + String modulePath, + String tokenizerPath, + float temperature)
    +
    +
    Constructs a LLM Module for a model with given path, tokenizer, and temperature.
    +
    +
    LlamaModule(String modulePath, + String tokenizerPath, + float temperature)
    +
    +
    Constructs a LLAMA Module for a model with given path, tokenizer, and temperature.
    +
    +
    +
    +
    • + +
  • +
    +

    Method Summary

    +
    +
    +
    +
    +
    Modifier and Type
    +
    Method
    +
    Description
    +
    int
    +
    generate(int[] image, + int width, + int height, + int channels, + String prompt, + int seqLen, + LlamaCallback llamaCallback, + boolean echo)
    +
    +
    Start generating tokens from the module.
    +
    +
    int
    +
    generate(String prompt, + int seqLen, + LlamaCallback llamaCallback)
    +
    +
    Start generating tokens from the module.
    +
    +
    int
    +
    generate(String prompt, + int seqLen, + LlamaCallback llamaCallback, + boolean echo)
    +
    +
    Start generating tokens from the module.
    +
    +
    int
    +
    generate(String prompt, + LlamaCallback llamaCallback)
    +
    +
    Start generating tokens from the module.
    +
    +
    int
    +
    generate(String prompt, + LlamaCallback llamaCallback, + boolean echo)
    +
    +
    Start generating tokens from the module.
    +
    +
    int
    +
    generateFromPos(String prompt, + int seqLen, + long startPos, + LlamaCallback callback, + boolean echo)
    +
    +
    Generate tokens from the given prompt, starting from the given position.
    +
    +
    int
    +
    load()
    +
    +
    Force loading the module.
    +
    +
    long
    +
    prefillImages(int[] image, + int width, + int height, + int channels, + long startPos)
    +
    +
    Prefill an LLaVA Module with the given images input.
    +
    +
    long
    +
    prefillPrompt(String prompt, + long startPos, + int bos, + int eos)
    +
    +
    Prefill an LLaVA Module with the given text input.
    +
    +
    void
    +
    resetNative()
    +
     
    +
    void
    +
    stop()
    +
    +
    Stop current generate() before it finishes.
    +
    +
    +
    +
    +
    +

    Methods inherited from class java.lang.Object

    +clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    +
    +
    • +
+
+
+
    + +
  • +
    +

    Field Details

    +
      +
    • +
      +

      MODEL_TYPE_TEXT

      +
      public static final int MODEL_TYPE_TEXT
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    • +
      +

      MODEL_TYPE_TEXT_VISION

      +
      public static final int MODEL_TYPE_TEXT_VISION
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    +
    +
    • + +
  • +
    +

    Constructor Details

    +
      +
    • +
      +

      LlamaModule

      +
      public LlamaModule(String modulePath, + String tokenizerPath, + float temperature)
      +
      Constructs a LLAMA Module for a model with given path, tokenizer, and temperature.
      +
      +
      • +
    • +
      +

      LlamaModule

      +
      public LlamaModule(int modelType, + String modulePath, + String tokenizerPath, + float temperature)
      +
      Constructs a LLM Module for a model with given path, tokenizer, and temperature.
      +
      +
      • +
    +
    +
    • + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      resetNative

      +
      public void resetNative()
      +
      +
      • +
    • +
      +

      generate

      +
      public int generate(String prompt, + LlamaCallback llamaCallback)
      +
      Start generating tokens from the module.
      +
      +
      Parameters:
      +
      prompt - Input prompt
      +
      llamaCallback - callback object to receive results.
      +
      +
      +
      • +
    • +
      +

      generate

      +
      public int generate(String prompt, + int seqLen, + LlamaCallback llamaCallback)
      +
      Start generating tokens from the module.
      +
      +
      Parameters:
      +
      prompt - Input prompt
      +
      seqLen - sequence length
      +
      llamaCallback - callback object to receive results.
      +
      +
      +
      • +
    • +
      +

      generate

      +
      public int generate(String prompt, + LlamaCallback llamaCallback, + boolean echo)
      +
      Start generating tokens from the module.
      +
      +
      Parameters:
      +
      prompt - Input prompt
      +
      llamaCallback - callback object to receive results
      +
      echo - indicate whether to echo the input prompt or not (text completion vs chat)
      +
      +
      +
      • +
    • +
      +

      generate

      +
      public int generate(String prompt, + int seqLen, + LlamaCallback llamaCallback, + boolean echo)
      +
      Start generating tokens from the module.
      +
      +
      Parameters:
      +
      prompt - Input prompt
      +
      seqLen - sequence length
      +
      llamaCallback - callback object to receive results
      +
      echo - indicate whether to echo the input prompt or not (text completion vs chat)
      +
      +
      +
      • +
    • +
      +

      generate

      +
      public int generate(int[] image, + int width, + int height, + int channels, + String prompt, + int seqLen, + LlamaCallback llamaCallback, + boolean echo)
      +
      Start generating tokens from the module.
      +
      +
      Parameters:
      +
      image - Input image as a byte array
      +
      width - Input image width
      +
      height - Input image height
      +
      channels - Input image number of channels
      +
      prompt - Input prompt
      +
      seqLen - sequence length
      +
      llamaCallback - callback object to receive results.
      +
      echo - indicate whether to echo the input prompt or not (text completion vs chat)
      +
      +
      +
      • +
    • +
      +

      prefillImages

      +
      public long prefillImages(int[] image, + int width, + int height, + int channels, + long startPos)
      +
      Prefill an LLaVA Module with the given images input.
      +
      +
      Parameters:
      +
      image - Input image as a byte array
      +
      width - Input image width
      +
      height - Input image height
      +
      channels - Input image number of channels
      +
      startPos - The starting position in KV cache of the input in the LLM.
      +
      Returns:
      +
      The updated starting position in KV cache of the input in the LLM.
      +
      Throws:
      +
      RuntimeException - if the prefill failed
      +
      +
      +
      • +
    • +
      +

      prefillPrompt

      +
      public long prefillPrompt(String prompt, + long startPos, + int bos, + int eos)
      +
      Prefill an LLaVA Module with the given text input.
      +
      +
      Parameters:
      +
      prompt - The text prompt to LLaVA.
      +
      startPos - The starting position in KV cache of the input in the LLM. It's passed as + reference and will be updated inside this function.
      +
      bos - The number of BOS (begin of sequence) token.
      +
      eos - The number of EOS (end of sequence) token.
      +
      Returns:
      +
      The updated starting position in KV cache of the input in the LLM.
      +
      Throws:
      +
      RuntimeException - if the prefill failed
      +
      +
      +
      • +
    • +
      +

      generateFromPos

      +
      public int generateFromPos(String prompt, + int seqLen, + long startPos, + LlamaCallback callback, + boolean echo)
      +
      Generate tokens from the given prompt, starting from the given position.
      +
      +
      Parameters:
      +
      prompt - The text prompt to LLaVA.
      +
      seqLen - The total sequence length, including the prompt tokens and new tokens.
      +
      startPos - The starting position in KV cache of the input in the LLM.
      +
      callback - callback object to receive results.
      +
      echo - indicate whether to echo the input prompt or not.
      +
      Returns:
      +
      The error code.
      +
      +
      +
      • +
    • +
      +

      stop

      +
      public void stop()
      +
      Stop current generate() before it finishes.
      +
      +
      • +
    • +
      +

      load

      +
      public int load()
      +
      Force loading the module. Otherwise the model is loaded during first generate().
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/Module.html b/docs/source/javadoc/org/pytorch/executorch/Module.html new file mode 100644 index 00000000000..eed85e804f4 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/Module.html @@ -0,0 +1,351 @@ + + + + +Module (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Class Module

+
+
java.lang.Object +
org.pytorch.executorch.Module
+
+
+
+
public class Module +extends Object
+
Java wrapper for ExecuTorch Module. + +

Warning: These APIs are experimental and subject to change without notice

+
+
+
    + +
  • +
    +

    Field Summary

    +
    Fields
    +
    +
    Modifier and Type
    +
    Field
    +
    Description
    +
    static final int
    +
    LOAD_MODE_FILE
    +
    +
    Load mode for the module.
    +
    +
    static final int
    +
    LOAD_MODE_MMAP
    +
    +
    Load mode for the module.
    +
    +
    static final int
    +
    LOAD_MODE_MMAP_USE_MLOCK
    +
    +
    Load mode for the module.
    +
    +
    static final int
    +
    LOAD_MODE_MMAP_USE_MLOCK_IGNORE_ERRORS
    +
    +
    Load mode for the module.
    +
    +
    +
    +
    • + +
  • +
    +

    Method Summary

    +
    +
    +
    +
    +
    Modifier and Type
    +
    Method
    +
    Description
    +
    void
    +
    destroy()
    +
    +
    Explicitly destroys the native torch::jit::Module.
    +
    +
    EValue[]
    +
    execute(String methodName, + EValue... inputs)
    +
    +
    Runs the specified method of this module with the specified arguments.
    +
    +
    EValue[]
    +
    forward(EValue... inputs)
    +
    +
    Runs the 'forward' method of this module with the specified arguments.
    +
    +
    static Module
    +
    load(String modelPath)
    +
    +
    Loads a serialized ExecuTorch module from the specified path on the disk to run on CPU.
    +
    +
    static Module
    +
    load(String modelPath, + int loadMode)
    +
    +
    Loads a serialized ExecuTorch module from the specified path on the disk.
    +
    +
    int
    +
    loadMethod(String methodName)
    +
    +
    Load a method on this module.
    +
    +
    String[]
    +
    readLogBuffer()
    +
    +
    Retrieve the in-memory log buffer, containing the most recent ExecuTorch log entries.
    +
    +
    +
    +
    +
    +

    Methods inherited from class java.lang.Object

    +clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    +
    +
    • +
+
+
+
    + +
  • +
    +

    Field Details

    +
      +
    • +
      +

      LOAD_MODE_FILE

      +
      public static final int LOAD_MODE_FILE
      +
      Load mode for the module. Load the whole file as a buffer.
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    • +
      +

      LOAD_MODE_MMAP

      +
      public static final int LOAD_MODE_MMAP
      +
      Load mode for the module. Use mmap to load pages into memory.
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    • +
      +

      LOAD_MODE_MMAP_USE_MLOCK

      +
      public static final int LOAD_MODE_MMAP_USE_MLOCK
      +
      Load mode for the module. Use memory locking and handle errors.
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    • +
      +

      LOAD_MODE_MMAP_USE_MLOCK_IGNORE_ERRORS

      +
      public static final int LOAD_MODE_MMAP_USE_MLOCK_IGNORE_ERRORS
      +
      Load mode for the module. Use memory locking and ignore errors.
      +
      +
      See Also:
      +
      + +
      +
      +
      +
      • +
    +
    +
    • + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      load

      +
      public static Module load(String modelPath, + int loadMode)
      +
      Loads a serialized ExecuTorch module from the specified path on the disk.
      +
      +
      Parameters:
      +
      modelPath - path to file that contains the serialized ExecuTorch module.
      +
      loadMode - load mode for the module. See constants in Module.
      +
      Returns:
      +
      new Module object which owns the model module.
      +
      +
      +
      • +
    • +
      +

      load

      +
      public static Module load(String modelPath)
      +
      Loads a serialized ExecuTorch module from the specified path on the disk to run on CPU.
      +
      +
      Parameters:
      +
      modelPath - path to file that contains the serialized ExecuTorch module.
      +
      Returns:
      +
      new Module object which owns the model module.
      +
      +
      +
      • +
    • +
      +

      forward

      +
      public EValue[] forward(EValue... inputs)
      +
      Runs the 'forward' method of this module with the specified arguments.
      +
      +
      Parameters:
      +
      inputs - arguments for the ExecuTorch module's 'forward' method. Note: if method 'forward' + requires inputs but no inputs are given, the function will not error out, but run 'forward' + with sample inputs.
      +
      Returns:
      +
      return value from the 'forward' method.
      +
      +
      +
      • +
    • +
      +

      execute

      +
      public EValue[] execute(String methodName, + EValue... inputs)
      +
      Runs the specified method of this module with the specified arguments.
      +
      +
      Parameters:
      +
      methodName - name of the ExecuTorch method to run.
      +
      inputs - arguments that will be passed to ExecuTorch method.
      +
      Returns:
      +
      return value from the method.
      +
      +
      +
      • +
    • +
      +

      loadMethod

      +
      public int loadMethod(String methodName)
      +
      Load a method on this module. This might help with the first time inference performance, + because otherwise the method is loaded lazily when it's execute. Note: this function is + synchronous, and will block until the method is loaded. Therefore, it is recommended to call + this on a background thread. However, users need to make sure that they don't execute before + this function returns.
      +
      +
      Returns:
      +
      the Error code if there was an error loading the method
      +
      +
      +
      • +
    • +
      +

      readLogBuffer

      +
      public String[] readLogBuffer()
      +
      Retrieve the in-memory log buffer, containing the most recent ExecuTorch log entries.
      +
      +
      • +
    • +
      +

      destroy

      +
      public void destroy()
      +
      Explicitly destroys the native torch::jit::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 HybridData.resetNative().
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/Tensor.html b/docs/source/javadoc/org/pytorch/executorch/Tensor.html new file mode 100644 index 00000000000..1283a84e6bb --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/Tensor.html @@ -0,0 +1,657 @@ + + + + +Tensor (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch
+

Class Tensor

+
+
java.lang.Object +
org.pytorch.executorch.Tensor
+
+
+
+
public abstract class Tensor +extends Object
+
Representation of an ExecuTorch 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 Buffer (of the proper subclass). Helper methods are provided + to allocate buffers properly. + +

To access Tensor data, see dtype(), shape(), and various getDataAs* + methods. + +

When constructing Tensor objects with data as an array, it is not specified + whether this data is copied or retained as a reference so it is recommended not to modify it + after constructing. data passed as a Buffer is not copied, so it can be modified + between 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. + +

Warning: These APIs are experimental and subject to change without notice

+
+
+ +
+
+
    + +
  • +
    +

    Method Details

    +
      +
    • +
      +

      allocateByteBuffer

      +
      public static ByteBuffer allocateByteBuffer(int numElements)
      +
      Allocates a new direct ByteBuffer with native byte order with specified capacity that + can be used in fromBlob(ByteBuffer, long[]), fromBlobUnsigned(ByteBuffer, long[]).
      +
      +
      Parameters:
      +
      numElements - capacity (number of elements) of result buffer.
      +
      +
      +
      • +
    • +
      +

      allocateIntBuffer

      +
      public static IntBuffer allocateIntBuffer(int numElements)
      +
      Allocates a new direct IntBuffer with native byte order with specified capacity that + can be used in fromBlob(IntBuffer, long[]).
      +
      +
      Parameters:
      +
      numElements - capacity (number of elements) of result buffer.
      +
      +
      +
      • +
    • +
      +

      allocateFloatBuffer

      +
      public static FloatBuffer allocateFloatBuffer(int numElements)
      +
      Allocates a new direct FloatBuffer with native byte order with specified capacity that + can be used in fromBlob(FloatBuffer, long[]).
      +
      +
      Parameters:
      +
      numElements - capacity (number of elements) of result buffer.
      +
      +
      +
      • +
    • +
      +

      allocateLongBuffer

      +
      public static LongBuffer allocateLongBuffer(int numElements)
      +
      Allocates a new direct LongBuffer with native byte order with specified capacity that + can be used in fromBlob(LongBuffer, long[]).
      +
      +
      Parameters:
      +
      numElements - capacity (number of elements) of result buffer.
      +
      +
      +
      • +
    • +
      +

      allocateDoubleBuffer

      +
      public static DoubleBuffer allocateDoubleBuffer(int numElements)
      +
      Allocates a new direct DoubleBuffer with native byte order with specified capacity that + can be used in fromBlob(DoubleBuffer, long[]).
      +
      +
      Parameters:
      +
      numElements - capacity (number of elements) of result buffer.
      +
      +
      +
      • +
    • +
      +

      fromBlobUnsigned

      +
      public static Tensor fromBlobUnsigned(byte[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.uint8 with specified shape and data as array of + bytes.
      +
      +
      Parameters:
      +
      data - Tensor elements
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(byte[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int8 with specified shape and data as array of + bytes.
      +
      +
      Parameters:
      +
      data - Tensor elements
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(int[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int32 with specified shape and data as array of + ints.
      +
      +
      Parameters:
      +
      data - Tensor elements
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(float[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.float32 with specified shape and data as array + of floats.
      +
      +
      Parameters:
      +
      data - Tensor elements
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(long[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int64 with specified shape and data as array of + longs.
      +
      +
      Parameters:
      +
      data - Tensor elements
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(double[] data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.float64 with specified shape and data as array + of doubles.
      +
      +
      Parameters:
      +
      shape - Tensor shape
      +
      data - Tensor elements
      +
      +
      +
      • +
    • +
      +

      fromBlobUnsigned

      +
      public static Tensor fromBlobUnsigned(ByteBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.uint8 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(ByteBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int8 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(IntBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int32 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(FloatBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.float32 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(LongBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.int64 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      fromBlob

      +
      public static Tensor fromBlob(DoubleBuffer data, + long[] shape)
      +
      Creates a new Tensor instance with dtype torch.float64 with specified shape and data.
      +
      +
      Parameters:
      +
      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.
      +
      shape - Tensor shape
      +
      +
      +
      • +
    • +
      +

      numel

      +
      public long numel()
      +
      Returns the number of elements in this tensor.
      +
      +
      • +
    • +
      +

      numel

      +
      public static long numel(long[] shape)
      +
      Calculates the number of elements in a tensor with the specified shape.
      +
      +
      • +
    • +
      +

      shape

      +
      public long[] shape()
      +
      Returns the shape of this tensor. (The array is a fresh copy.)
      +
      +
      • +
    • +
      +

      dtype

      +
      public abstract DType dtype()
      +
      +
      Returns:
      +
      data type of this tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsByteArray

      +
      public byte[] getDataAsByteArray()
      +
      +
      Returns:
      +
      a Java byte array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-int8 tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsUnsignedByteArray

      +
      public byte[] getDataAsUnsignedByteArray()
      +
      +
      Returns:
      +
      a Java byte array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-uint8 tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsIntArray

      +
      public int[] getDataAsIntArray()
      +
      +
      Returns:
      +
      a Java int array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-int32 tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsFloatArray

      +
      public float[] getDataAsFloatArray()
      +
      +
      Returns:
      +
      a Java float array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-float32 tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsLongArray

      +
      public long[] getDataAsLongArray()
      +
      +
      Returns:
      +
      a Java long array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-int64 tensor.
      +
      +
      +
      • +
    • +
      +

      getDataAsDoubleArray

      +
      public double[] getDataAsDoubleArray()
      +
      +
      Returns:
      +
      a Java double array that contains the tensor data. This may be a copy or reference.
      +
      Throws:
      +
      IllegalStateException - if it is called for a non-float64 tensor.
      +
      +
      +
      • +
    • +
      +

      toByteArray

      +
      public byte[] toByteArray()
      +
      Serializes a Tensor into a byte array. + Note: This method is experimental and subject to change without notice. This does NOT + supoprt list type.
      +
      +
      Returns:
      +
      The serialized byte array.
      +
      +
      +
      • +
    • +
      +

      fromByteArray

      +
      public static Tensor fromByteArray(byte[] bytes)
      +
      Deserializes a Tensor from a byte[]. + Note: This method is experimental and subject to change without notice. This does NOT + supoprt list type.
      +
      +
      Parameters:
      +
      bytes - The byte array to deserialize from.
      +
      Returns:
      +
      The deserialized Tensor.
      +
      +
      +
      • +
    +
    +
    • +
+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/annotations/Experimental.html b/docs/source/javadoc/org/pytorch/executorch/annotations/Experimental.html new file mode 100644 index 00000000000..76fdc971e05 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/annotations/Experimental.html @@ -0,0 +1,81 @@ + + + + +Experimental (executorch API) + + + + + + + + + + + + + + +
+ +
+
+ +
+
Package org.pytorch.executorch.annotations
+

Annotation Interface Experimental

+
+
+
+
public @interface Experimental
+
This annotation indicates that an API is experimental and may change or be removed at any time. + It does not provide any guarantees for API stability or backward-compatibility. + +

This status is not permanent, and APIs marked with this annotation will need to be either made + more robust or removed in the future.

+
+ +
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/annotations/package-summary.html b/docs/source/javadoc/org/pytorch/executorch/annotations/package-summary.html new file mode 100644 index 00000000000..ef97a99abab --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/annotations/package-summary.html @@ -0,0 +1,94 @@ + + + + +org.pytorch.executorch.annotations (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Package org.pytorch.executorch.annotations

+
+
+
package org.pytorch.executorch.annotations
+
+
    +
  • + +
    • +
  • +
    +
    Annotation Interfaces
    +
    +
    Class
    +
    Description
    +
    Experimental
    +
    +
    This annotation indicates that an API is experimental and may change or be removed at any time.
    +
    +
    +
    +
    • +
+
+
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/annotations/package-tree.html b/docs/source/javadoc/org/pytorch/executorch/annotations/package-tree.html new file mode 100644 index 00000000000..f08b741f95a --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/annotations/package-tree.html @@ -0,0 +1,66 @@ + + + + +org.pytorch.executorch.annotations Class Hierarchy (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Hierarchy For Package org.pytorch.executorch.annotations

+Package Hierarchies: + +
+
+

Annotation Interface Hierarchy

+ +
+
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/package-summary.html b/docs/source/javadoc/org/pytorch/executorch/package-summary.html new file mode 100644 index 00000000000..44677662cfa --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/package-summary.html @@ -0,0 +1,121 @@ + + + + +org.pytorch.executorch (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Package org.pytorch.executorch

+
+
+
package org.pytorch.executorch
+
+
    +
  • + +
    • +
  • +
    +
    +
    +
    +
    Class
    +
    Description
    +
    DType
    +
    +
    Codes representing tensor data types.
    +
    +
    EValue
    +
    +
    Java representation of an ExecuTorch value, which is implemented as tagged union that can be one + of the supported types: https://pytorch.org/docs/stable/jit.html#types .
    +
    +
    LlamaCallback
    +
    +
    Callback interface for Llama model.
    +
    +
    LlamaModule
    +
    +
    LlamaModule is a wrapper around the Executorch Llama model.
    +
    +
    Module
    +
    +
    Java wrapper for ExecuTorch Module.
    +
    +
    Tensor
    +
    +
    Representation of an ExecuTorch Tensor.
    +
    +
    +
    +
    +
    • +
+
+
+
+
+ + diff --git a/docs/source/javadoc/org/pytorch/executorch/package-tree.html b/docs/source/javadoc/org/pytorch/executorch/package-tree.html new file mode 100644 index 00000000000..ff62f190811 --- /dev/null +++ b/docs/source/javadoc/org/pytorch/executorch/package-tree.html @@ -0,0 +1,93 @@ + + + + +org.pytorch.executorch Class Hierarchy (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Hierarchy For Package org.pytorch.executorch

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+
+

Interface Hierarchy

+ +
+
+

Enum Class Hierarchy

+ +
+
+
+
+ + diff --git a/docs/source/javadoc/overview-summary.html b/docs/source/javadoc/overview-summary.html new file mode 100644 index 00000000000..7f775bfec44 --- /dev/null +++ b/docs/source/javadoc/overview-summary.html @@ -0,0 +1,25 @@ + + + + +executorch API + + + + + + + + + + +
+ +

index.html

+
+ + diff --git a/docs/source/javadoc/overview-tree.html b/docs/source/javadoc/overview-tree.html new file mode 100644 index 00000000000..7a5a8e05b75 --- /dev/null +++ b/docs/source/javadoc/overview-tree.html @@ -0,0 +1,100 @@ + + + + +Class Hierarchy (executorch API) + + + + + + + + + + + + + + +
+ +
+
+
+

Hierarchy For All Packages

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+
+

Interface Hierarchy

+ +
+
+

Annotation Interface Hierarchy

+ +
+
+

Enum Class Hierarchy

+ +
+
+
+
+ + diff --git a/docs/source/javadoc/package-search-index.js b/docs/source/javadoc/package-search-index.js new file mode 100644 index 00000000000..390bc8ac00e --- /dev/null +++ b/docs/source/javadoc/package-search-index.js @@ -0,0 +1 @@ +packageSearchIndex = [{"l":"All Packages","u":"allpackages-index.html"},{"l":"org.pytorch.executorch"},{"l":"org.pytorch.executorch.annotations"}];updateSearchResults(); \ No newline at end of file diff --git a/docs/source/javadoc/resources/glass.png b/docs/source/javadoc/resources/glass.png new file mode 100644 index 0000000000000000000000000000000000000000..a7f591f467a1c0c949bbc510156a0c1afb860a6e GIT binary patch literal 499 zcmVJoRsvExf%rEN>jUL}qZ_~k#FbE+Q;{`;0FZwVNX2n-^JoI; zP;4#$8DIy*Yk-P>VN(DUKmPse7mx+ExD4O|;?E5D0Z5($mjO3`*anwQU^s{ZDK#Lz zj>~{qyaIx5K!t%=G&2IJNzg!ChRpyLkO7}Ry!QaotAHAMpbB3AF(}|_f!G-oI|uK6 z`id_dumai5K%C3Y$;tKS_iqMPHg<*|-@e`liWLAggVM!zAP#@l;=c>S03;{#04Z~5 zN_+ss=Yg6*hTr59mzMwZ@+l~q!+?ft!fF66AXT#wWavHt30bZWFCK%!BNk}LN?0Hg 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All rights reserved. + * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. + * + * This code is free software; you can redistribute it and/or modify it + * under the terms of the GNU General Public License version 2 only, as + * published by the Free Software Foundation. Oracle designates this + * particular file as subject to the "Classpath" exception as provided + * by Oracle in the LICENSE file that accompanied this code. + * + * This code is distributed in the hope that it will be useful, but WITHOUT + * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or + * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License + * version 2 for more details (a copy is included in the LICENSE file that + * accompanied this code). + * + * You should have received a copy of the GNU General Public License version + * 2 along with this work; if not, write to the Free Software Foundation, + * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. + * + * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA + * or visit www.oracle.com if you need additional information or have any + * questions. + */ + +var moduleSearchIndex; +var packageSearchIndex; +var typeSearchIndex; +var memberSearchIndex; +var tagSearchIndex; +function loadScripts(doc, tag) { + createElem(doc, tag, 'search.js'); + + createElem(doc, tag, 'module-search-index.js'); + createElem(doc, tag, 'package-search-index.js'); + createElem(doc, tag, 'type-search-index.js'); + createElem(doc, tag, 'member-search-index.js'); + createElem(doc, tag, 'tag-search-index.js'); +} + +function createElem(doc, tag, path) { + var script = doc.createElement(tag); + var scriptElement = doc.getElementsByTagName(tag)[0]; + script.src = pathtoroot + path; + scriptElement.parentNode.insertBefore(script, scriptElement); +} + +function show(tableId, selected, columns) { + if (tableId !== selected) { + document.querySelectorAll('div.' + tableId + ':not(.' + selected + ')') + .forEach(function(elem) { + elem.style.display = 'none'; + }); + } + document.querySelectorAll('div.' + selected) + .forEach(function(elem, index) { + elem.style.display = ''; + var isEvenRow = index % (columns * 2) < columns; + elem.classList.remove(isEvenRow ? oddRowColor : evenRowColor); + elem.classList.add(isEvenRow ? evenRowColor : oddRowColor); + }); + updateTabs(tableId, selected); +} + +function updateTabs(tableId, selected) { + document.querySelector('div#' + tableId +' .summary-table') + .setAttribute('aria-labelledby', selected); + document.querySelectorAll('button[id^="' + tableId + '"]') + .forEach(function(tab, index) { + if (selected === tab.id || (tableId === selected && index === 0)) { + tab.className = activeTableTab; + tab.setAttribute('aria-selected', true); + tab.setAttribute('tabindex',0); + } else { + tab.className = tableTab; + tab.setAttribute('aria-selected', false); + tab.setAttribute('tabindex',-1); + } + }); +} + +function switchTab(e) { + var selected = document.querySelector('[aria-selected=true]'); + if (selected) { + if ((e.keyCode === 37 || e.keyCode === 38) && selected.previousSibling) { + // left or up arrow key pressed: move focus to previous tab + selected.previousSibling.click(); + selected.previousSibling.focus(); + e.preventDefault(); + } else if ((e.keyCode === 39 || e.keyCode === 40) && selected.nextSibling) { + // right or down arrow key pressed: move focus to next tab + selected.nextSibling.click(); + selected.nextSibling.focus(); + e.preventDefault(); + } + } +} + +var updateSearchResults = function() {}; + +function indexFilesLoaded() { + return moduleSearchIndex + && packageSearchIndex + && typeSearchIndex + && memberSearchIndex + && tagSearchIndex; +} + +// Workaround for scroll position not being included in browser history (8249133) +document.addEventListener("DOMContentLoaded", function(e) { + var contentDiv = document.querySelector("div.flex-content"); + window.addEventListener("popstate", function(e) { + if (e.state !== null) { + contentDiv.scrollTop = e.state; + } + }); + window.addEventListener("hashchange", function(e) { + history.replaceState(contentDiv.scrollTop, document.title); + }); + contentDiv.addEventListener("scroll", function(e) { + var timeoutID; + if (!timeoutID) { + timeoutID = setTimeout(function() { + history.replaceState(contentDiv.scrollTop, document.title); + timeoutID = null; + }, 100); + } + }); + if (!location.hash) { + history.replaceState(contentDiv.scrollTop, document.title); + } +}); diff --git a/docs/source/javadoc/search.js b/docs/source/javadoc/search.js new file mode 100644 index 00000000000..db3b2f4a64f --- /dev/null +++ b/docs/source/javadoc/search.js @@ -0,0 +1,354 @@ +/* + * Copyright (c) 2015, 2020, Oracle and/or its affiliates. All rights reserved. + * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. + * + * This code is free software; you can redistribute it and/or modify it + * under the terms of the GNU General Public License version 2 only, as + * published by the Free Software Foundation. Oracle designates this + * particular file as subject to the "Classpath" exception as provided + * by Oracle in the LICENSE file that accompanied this code. + * + * This code is distributed in the hope that it will be useful, but WITHOUT + * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or + * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License + * version 2 for more details (a copy is included in the LICENSE file that + * accompanied this code). + * + * You should have received a copy of the GNU General Public License version + * 2 along with this work; if not, write to the Free Software Foundation, + * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. + * + * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA + * or visit www.oracle.com if you need additional information or have any + * questions. + */ + +var noResult = {l: "No results found"}; +var loading = {l: "Loading search index..."}; +var catModules = "Modules"; +var catPackages = "Packages"; +var catTypes = "Classes and Interfaces"; +var catMembers = "Members"; +var catSearchTags = "Search Tags"; +var highlight = "$&"; +var searchPattern = ""; +var fallbackPattern = ""; +var RANKING_THRESHOLD = 2; +var NO_MATCH = 0xffff; +var MIN_RESULTS = 3; +var MAX_RESULTS = 500; +var UNNAMED = ""; +function escapeHtml(str) { + return str.replace(//g, ">"); +} +function getHighlightedText(item, matcher, fallbackMatcher) { + var escapedItem = escapeHtml(item); + var highlighted = escapedItem.replace(matcher, highlight); + if (highlighted === escapedItem) { + highlighted = escapedItem.replace(fallbackMatcher, highlight) + } + return highlighted; +} +function getURLPrefix(ui) { + var urlPrefix=""; + var slash = "/"; + if (ui.item.category === catModules) { + return ui.item.l + slash; + } else if (ui.item.category === catPackages && ui.item.m) { + return ui.item.m + slash; + } else if (ui.item.category === catTypes || ui.item.category === catMembers) { + if (ui.item.m) { + urlPrefix = ui.item.m + slash; + } else { + $.each(packageSearchIndex, function(index, item) { + if (item.m && ui.item.p === item.l) { + urlPrefix = item.m + slash; + } + }); + } + } + return urlPrefix; +} +function createSearchPattern(term) { + var pattern = ""; + var isWordToken = false; + term.replace(/,\s*/g, ", ").trim().split(/\s+/).forEach(function(w, index) { + if (index > 0) { + // whitespace between identifiers is significant + pattern += (isWordToken && /^\w/.test(w)) ? "\\s+" : "\\s*"; + } + var tokens = w.split(/(?=[A-Z,.()<>[\/])/); + for (var i = 0; i < tokens.length; i++) { + var s = tokens[i]; + if (s === "") { + continue; + } + pattern += $.ui.autocomplete.escapeRegex(s); + isWordToken = /\w$/.test(s); + if (isWordToken) { + pattern += "([a-z0-9_$<>\\[\\]]*?)"; + } + } + }); + return pattern; +} +function createMatcher(pattern, flags) { + var isCamelCase = /[A-Z]/.test(pattern); + return new RegExp(pattern, flags + (isCamelCase ? "" : "i")); +} +var watermark = 'Search'; +$(function() { + var search = $("#search-input"); + var reset = $("#reset-button"); + search.val(''); + search.prop("disabled", false); + reset.prop("disabled", false); + search.val(watermark).addClass('watermark'); + search.blur(function() { + if ($(this).val().length === 0) { + $(this).val(watermark).addClass('watermark'); + } + }); + search.on('click keydown paste', function() { + if ($(this).val() === watermark) { + $(this).val('').removeClass('watermark'); + } + }); + reset.click(function() { + search.val('').focus(); + }); + search.focus()[0].setSelectionRange(0, 0); +}); +$.widget("custom.catcomplete", $.ui.autocomplete, { + _create: function() { + this._super(); + this.widget().menu("option", "items", "> :not(.ui-autocomplete-category)"); + }, + _renderMenu: function(ul, items) { + var rMenu = this; + var currentCategory = ""; + rMenu.menu.bindings = $(); + $.each(items, function(index, item) { + var li; + if (item.category && item.category !== currentCategory) { + ul.append("
  • " + item.category + "
    • "); + currentCategory = item.category; + } + li = rMenu._renderItemData(ul, item); + if (item.category) { + li.attr("aria-label", item.category + " : " + item.l); + li.attr("class", "result-item"); + } else { + li.attr("aria-label", item.l); + li.attr("class", "result-item"); + } + }); + }, + _renderItem: function(ul, item) { + var label = ""; + var matcher = createMatcher(escapeHtml(searchPattern), "g"); + var fallbackMatcher = new RegExp(fallbackPattern, "gi") + if (item.category === catModules) { + label = getHighlightedText(item.l, matcher, fallbackMatcher); + } else if (item.category === catPackages) { + label = getHighlightedText(item.l, matcher, fallbackMatcher); + } else if (item.category === catTypes) { + label = (item.p && item.p !== UNNAMED) + ? getHighlightedText(item.p + "." + item.l, matcher, fallbackMatcher) + : getHighlightedText(item.l, matcher, fallbackMatcher); + } else if (item.category === catMembers) { + label = (item.p && item.p !== UNNAMED) + ? getHighlightedText(item.p + "." + item.c + "." + item.l, matcher, fallbackMatcher) + : getHighlightedText(item.c + "." + item.l, matcher, fallbackMatcher); + } else if (item.category === catSearchTags) { + label = getHighlightedText(item.l, matcher, fallbackMatcher); + } else { + label = item.l; + } + var li = $("
  • ").appendTo(ul); + var div = $("
    ").appendTo(li); + if (item.category === catSearchTags && item.h) { + if (item.d) { + div.html(label + " (" + item.h + ")
    " + + item.d + "
    "); + } else { + div.html(label + " (" + item.h + ")"); + } + } else { + if (item.m) { + div.html(item.m + "/" + label); + } else { + div.html(label); + } + } + return li; + } +}); +function rankMatch(match, category) { + if (!match) { + return NO_MATCH; + } + var index = match.index; + var input = match.input; + var leftBoundaryMatch = 2; + var periferalMatch = 0; + // make sure match is anchored on a left word boundary + if (index === 0 || /\W/.test(input[index - 1]) || "_" === input[index]) { + leftBoundaryMatch = 0; + } else if ("_" === input[index - 1] || (input[index] === input[index].toUpperCase() && !/^[A-Z0-9_$]+$/.test(input))) { + leftBoundaryMatch = 1; + } + var matchEnd = index + match[0].length; + var leftParen = input.indexOf("("); + var endOfName = leftParen > -1 ? leftParen : input.length; + // exclude peripheral matches + if (category !== catModules && category !== catSearchTags) { + var delim = category === catPackages ? "/" : "."; + if (leftParen > -1 && leftParen < index) { + periferalMatch += 2; + } else if (input.lastIndexOf(delim, endOfName) >= matchEnd) { + periferalMatch += 2; + } + } + var delta = match[0].length === endOfName ? 0 : 1; // rank full match higher than partial match + for (var i = 1; i < match.length; i++) { + // lower ranking if parts of the name are missing + if (match[i]) + delta += match[i].length; + } + if (category === catTypes) { + // lower ranking if a type name contains unmatched camel-case parts + if (/[A-Z]/.test(input.substring(matchEnd))) + delta += 5; + if (/[A-Z]/.test(input.substring(0, index))) + delta += 5; + } + return leftBoundaryMatch + periferalMatch + (delta / 200); + +} +function doSearch(request, response) { + var result = []; + searchPattern = createSearchPattern(request.term); + fallbackPattern = createSearchPattern(request.term.toLowerCase()); + if (searchPattern === "") { + return this.close(); + } + var camelCaseMatcher = createMatcher(searchPattern, ""); + var fallbackMatcher = new RegExp(fallbackPattern, "i"); + + function searchIndexWithMatcher(indexArray, matcher, category, nameFunc) { + if (indexArray) { + var newResults = []; + $.each(indexArray, function (i, item) { + item.category = category; + var ranking = rankMatch(matcher.exec(nameFunc(item)), category); + if (ranking < RANKING_THRESHOLD) { + newResults.push({ranking: ranking, item: item}); + } + return newResults.length <= MAX_RESULTS; + }); + return newResults.sort(function(e1, e2) { + return e1.ranking - e2.ranking; + }).map(function(e) { + return e.item; + }); + } + return []; + } + function searchIndex(indexArray, category, nameFunc) { + var primaryResults = searchIndexWithMatcher(indexArray, camelCaseMatcher, category, nameFunc); + result = result.concat(primaryResults); + if (primaryResults.length <= MIN_RESULTS && !camelCaseMatcher.ignoreCase) { + var secondaryResults = searchIndexWithMatcher(indexArray, fallbackMatcher, category, nameFunc); + result = result.concat(secondaryResults.filter(function (item) { + return primaryResults.indexOf(item) === -1; + })); + } + } + + searchIndex(moduleSearchIndex, catModules, function(item) { return item.l; }); + searchIndex(packageSearchIndex, catPackages, function(item) { + return (item.m && request.term.indexOf("/") > -1) + ? (item.m + "/" + item.l) : item.l; + }); + searchIndex(typeSearchIndex, catTypes, function(item) { + return request.term.indexOf(".") > -1 ? item.p + "." + item.l : item.l; + }); + searchIndex(memberSearchIndex, catMembers, function(item) { + return request.term.indexOf(".") > -1 + ? item.p + "." + item.c + "." + item.l : item.l; + }); + searchIndex(tagSearchIndex, catSearchTags, function(item) { return item.l; }); + + if (!indexFilesLoaded()) { + updateSearchResults = function() { + doSearch(request, response); + } + result.unshift(loading); + } else { + updateSearchResults = function() {}; + } + response(result); +} +$(function() { + $("#search-input").catcomplete({ + minLength: 1, + delay: 300, + source: doSearch, + response: function(event, ui) { + if (!ui.content.length) { + ui.content.push(noResult); + } else { + $("#search-input").empty(); + } + }, + autoFocus: true, + focus: function(event, ui) { + return false; + }, + position: { + collision: "flip" + }, + select: function(event, ui) { + if (ui.item.category) { + var url = getURLPrefix(ui); + if (ui.item.category === catModules) { + url += "module-summary.html"; + } else if (ui.item.category === catPackages) { + if (ui.item.u) { + url = ui.item.u; + } else { + url += ui.item.l.replace(/\./g, '/') + "/package-summary.html"; + } + } else if (ui.item.category === catTypes) { + if (ui.item.u) { + url = ui.item.u; + } else if (ui.item.p === UNNAMED) { + url += ui.item.l + ".html"; + } else { + url += ui.item.p.replace(/\./g, '/') + "/" + ui.item.l + ".html"; + } + } else if (ui.item.category === catMembers) { + if (ui.item.p === UNNAMED) { + url += ui.item.c + ".html" + "#"; + } else { + url += ui.item.p.replace(/\./g, '/') + "/" + ui.item.c + ".html" + "#"; + } + if (ui.item.u) { + url += ui.item.u; + } else { + url += ui.item.l; + } + } else if (ui.item.category === catSearchTags) { + url += ui.item.u; + } + if (top !== window) { + parent.classFrame.location = pathtoroot + url; + } else { + window.location.href = pathtoroot + url; + } + $("#search-input").focus(); + } + } + }); +}); diff --git a/docs/source/javadoc/stylesheet.css b/docs/source/javadoc/stylesheet.css new file mode 100644 index 00000000000..4a576bd24da --- /dev/null +++ b/docs/source/javadoc/stylesheet.css @@ -0,0 +1,869 @@ +/* + * Javadoc style sheet + */ + +@import url('resources/fonts/dejavu.css'); + +/* + * Styles for individual HTML elements. + * + * These are styles that are specific to individual HTML elements. Changing them affects the style of a particular + * HTML element throughout the page. + */ + +body { + background-color:#ffffff; + color:#353833; + font-family:'DejaVu Sans', Arial, Helvetica, sans-serif; + font-size:14px; + margin:0; + padding:0; + height:100%; + width:100%; +} +iframe { + margin:0; + padding:0; + height:100%; + width:100%; + overflow-y:scroll; + border:none; +} +a:link, a:visited { + text-decoration:none; + color:#4A6782; +} +a[href]:hover, a[href]:focus { + text-decoration:none; + color:#bb7a2a; +} +a[name] { + color:#353833; +} +pre { + font-family:'DejaVu Sans Mono', monospace; + font-size:14px; +} +h1 { + font-size:20px; +} +h2 { + font-size:18px; +} +h3 { + font-size:16px; +} +h4 { + font-size:15px; +} +h5 { + font-size:14px; +} +h6 { + font-size:13px; +} +ul { + list-style-type:disc; +} +code, tt { + font-family:'DejaVu Sans Mono', monospace; +} +:not(h1, h2, h3, h4, h5, h6) > code, +:not(h1, h2, h3, h4, h5, h6) > tt { + font-size:14px; + padding-top:4px; + margin-top:8px; + line-height:1.4em; +} +dt code { + font-family:'DejaVu Sans Mono', monospace; + font-size:14px; + padding-top:4px; +} +.summary-table dt code { + font-family:'DejaVu Sans Mono', monospace; + font-size:14px; + vertical-align:top; + padding-top:4px; +} +sup { + font-size:8px; +} +button { + font-family: 'DejaVu Sans', Arial, Helvetica, sans-serif; + font-size: 14px; +} +/* + * Styles for HTML generated by javadoc. + * + * These are style classes that are used by the standard doclet to generate HTML documentation. + */ + +/* + * Styles for document title and copyright. + */ +.clear { + clear:both; + height:0; + overflow:hidden; +} +.about-language { + float:right; + padding:0 21px 8px 8px; + font-size:11px; + margin-top:-9px; + height:2.9em; +} +.legal-copy { + margin-left:.5em; +} +.tab { + background-color:#0066FF; + color:#ffffff; + padding:8px; + width:5em; + font-weight:bold; +} +/* + * Styles for navigation bar. + */ +@media screen { + .flex-box { + position:fixed; + display:flex; + flex-direction:column; + height: 100%; + width: 100%; + } + .flex-header { + flex: 0 0 auto; + } + .flex-content { + flex: 1 1 auto; + overflow-y: auto; + } +} +.top-nav { + background-color:#4D7A97; + color:#FFFFFF; + float:left; + padding:0; + width:100%; + clear:right; + min-height:2.8em; + padding-top:10px; + overflow:hidden; + font-size:12px; +} +.sub-nav { + background-color:#dee3e9; + float:left; + width:100%; + overflow:hidden; + font-size:12px; +} +.sub-nav div { + clear:left; + float:left; + padding:0 0 5px 6px; + text-transform:uppercase; +} +.sub-nav .nav-list { + padding-top:5px; +} +ul.nav-list { + display:block; + margin:0 25px 0 0; + padding:0; +} +ul.sub-nav-list { + float:left; + margin:0 25px 0 0; + padding:0; +} +ul.nav-list li { + list-style:none; + float:left; + padding: 5px 6px; + text-transform:uppercase; +} +.sub-nav .nav-list-search { + float:right; + margin:0 0 0 0; + padding:5px 6px; + clear:none; +} +.nav-list-search label { + position:relative; + right:-16px; +} +ul.sub-nav-list li { + list-style:none; + float:left; + padding-top:10px; +} +.top-nav a:link, .top-nav a:active, .top-nav a:visited { + color:#FFFFFF; + text-decoration:none; + text-transform:uppercase; +} +.top-nav a:hover { + text-decoration:none; + color:#bb7a2a; + text-transform:uppercase; +} +.nav-bar-cell1-rev { + background-color:#F8981D; + color:#253441; + margin: auto 5px; +} +.skip-nav { + position:absolute; + top:auto; + left:-9999px; + overflow:hidden; +} +/* + * Hide navigation links and search box in print layout + */ +@media print { + ul.nav-list, div.sub-nav { + display:none; + } +} +/* + * Styles for page header and footer. + */ +.title { + color:#2c4557; + margin:10px 0; +} +.sub-title { + margin:5px 0 0 0; +} +.header ul { + margin:0 0 15px 0; + padding:0; +} +.header ul li, .footer ul li { + list-style:none; + font-size:13px; +} +/* + * Styles for headings. + */ +body.class-declaration-page .summary h2, +body.class-declaration-page .details h2, +body.class-use-page h2, +body.module-declaration-page .block-list h2 { + font-style: italic; + padding:0; + margin:15px 0; +} +body.class-declaration-page .summary h3, +body.class-declaration-page .details h3, +body.class-declaration-page .summary .inherited-list h2 { + background-color:#dee3e9; + border:1px solid #d0d9e0; + margin:0 0 6px -8px; + padding:7px 5px; +} +/* + * Styles for page layout containers. + */ +main { + clear:both; + padding:10px 20px; + position:relative; +} +dl.notes > dt { + font-family: 'DejaVu Sans', Arial, Helvetica, sans-serif; + font-size:12px; + font-weight:bold; + margin:10px 0 0 0; + color:#4E4E4E; +} +dl.notes > dd { + margin:5px 10px 10px 0; + font-size:14px; + font-family:'DejaVu Serif', Georgia, "Times New Roman", Times, serif; +} +dl.name-value > dt { + margin-left:1px; + font-size:1.1em; + display:inline; + font-weight:bold; +} +dl.name-value > dd { + margin:0 0 0 1px; + font-size:1.1em; + display:inline; +} +/* + * Styles for lists. + */ +li.circle { + list-style:circle; +} +ul.horizontal li { + display:inline; + font-size:0.9em; +} +div.inheritance { + margin:0; + padding:0; +} +div.inheritance div.inheritance { + margin-left:2em; +} +ul.block-list, +ul.details-list, +ul.member-list, +ul.summary-list { + margin:10px 0 10px 0; + padding:0; +} +ul.block-list > li, +ul.details-list > li, +ul.member-list > li, +ul.summary-list > li { + list-style:none; + margin-bottom:15px; + line-height:1.4; +} +.summary-table dl, .summary-table dl dt, .summary-table dl dd { + margin-top:0; + margin-bottom:1px; +} +ul.see-list, ul.see-list-long { + padding-left: 0; + list-style: none; +} +ul.see-list li { + display: inline; +} +ul.see-list li:not(:last-child):after, +ul.see-list-long li:not(:last-child):after { + content: ", "; + white-space: pre-wrap; +} +/* + * Styles for tables. + */ +.summary-table, .details-table { + width:100%; + border-spacing:0; + border-left:1px solid #EEE; + border-right:1px solid #EEE; + border-bottom:1px solid #EEE; + padding:0; +} +.caption { + position:relative; + text-align:left; + background-repeat:no-repeat; + color:#253441; + font-weight:bold; + clear:none; + overflow:hidden; + padding:0; + padding-top:10px; + padding-left:1px; + margin:0; + white-space:pre; +} +.caption a:link, .caption a:visited { + color:#1f389c; +} +.caption a:hover, +.caption a:active { + color:#FFFFFF; +} +.caption span { + white-space:nowrap; + padding-top:5px; + padding-left:12px; + padding-right:12px; + padding-bottom:7px; + display:inline-block; + float:left; + background-color:#F8981D; + border: none; + height:16px; +} +div.table-tabs { + padding:10px 0 0 1px; + margin:0; +} +div.table-tabs > button { + border: none; + cursor: pointer; + padding: 5px 12px 7px 12px; + font-weight: bold; + margin-right: 3px; +} +div.table-tabs > button.active-table-tab { + background: #F8981D; + color: #253441; +} +div.table-tabs > button.table-tab { + background: #4D7A97; + color: #FFFFFF; +} +.two-column-summary { + display: grid; + grid-template-columns: minmax(15%, max-content) minmax(15%, auto); +} +.three-column-summary { + display: grid; + grid-template-columns: minmax(10%, max-content) minmax(15%, max-content) minmax(15%, auto); +} +.four-column-summary { + display: grid; + grid-template-columns: minmax(10%, max-content) minmax(10%, max-content) minmax(10%, max-content) minmax(10%, auto); +} +@media screen and (max-width: 600px) { + .two-column-summary { + display: grid; + grid-template-columns: 1fr; + } +} +@media screen and (max-width: 800px) { + .three-column-summary { + display: grid; + grid-template-columns: minmax(10%, max-content) minmax(25%, auto); + } + .three-column-summary .col-last { + grid-column-end: span 2; + } +} +@media screen and (max-width: 1000px) { + .four-column-summary { + display: grid; + grid-template-columns: minmax(15%, max-content) minmax(15%, auto); + } +} +.summary-table > div, .details-table > div { + text-align:left; + padding: 8px 3px 3px 7px; +} +.col-first, .col-second, .col-last, .col-constructor-name, .col-summary-item-name { + vertical-align:top; + padding-right:0; + padding-top:8px; + padding-bottom:3px; +} +.table-header { + background:#dee3e9; + font-weight: bold; +} +.col-first, .col-first { + font-size:13px; +} +.col-second, .col-second, .col-last, .col-constructor-name, .col-summary-item-name, .col-last { + font-size:13px; +} +.col-first, .col-second, .col-constructor-name { + vertical-align:top; + overflow: auto; +} +.col-last { + white-space:normal; +} +.col-first a:link, .col-first a:visited, +.col-second a:link, .col-second a:visited, +.col-first a:link, .col-first a:visited, +.col-second a:link, .col-second a:visited, +.col-constructor-name a:link, .col-constructor-name a:visited, +.col-summary-item-name a:link, .col-summary-item-name a:visited, +.constant-values-container a:link, .constant-values-container a:visited, +.all-classes-container a:link, .all-classes-container a:visited, +.all-packages-container a:link, .all-packages-container a:visited { + font-weight:bold; +} +.table-sub-heading-color { + background-color:#EEEEFF; +} +.even-row-color, .even-row-color .table-header { + background-color:#FFFFFF; +} +.odd-row-color, .odd-row-color .table-header { + background-color:#EEEEEF; +} +/* + * Styles for contents. + */ +.deprecated-content { + margin:0; + padding:10px 0; +} +div.block { + font-size:14px; + font-family:'DejaVu Serif', Georgia, "Times New Roman", Times, serif; +} +.col-last div { + padding-top:0; +} +.col-last a { + padding-bottom:3px; +} +.module-signature, +.package-signature, +.type-signature, +.member-signature { + font-family:'DejaVu Sans Mono', monospace; + font-size:14px; + margin:14px 0; + white-space: pre-wrap; +} +.module-signature, +.package-signature, +.type-signature { + margin-top: 0; +} +.member-signature .type-parameters-long, +.member-signature .parameters, +.member-signature .exceptions { + display: inline-block; + vertical-align: top; + white-space: pre; +} +.member-signature .type-parameters { + white-space: normal; +} +/* + * Styles for formatting effect. + */ +.source-line-no { + color:green; + padding:0 30px 0 0; +} +h1.hidden { + visibility:hidden; + overflow:hidden; + font-size:10px; +} +.block { + display:block; + margin:0 10px 5px 0; + color:#474747; +} +.deprecated-label, .descfrm-type-label, .implementation-label, .member-name-label, .member-name-link, +.module-label-in-package, .module-label-in-type, .override-specify-label, .package-label-in-type, +.package-hierarchy-label, .type-name-label, .type-name-link, .search-tag-link, .preview-label { + font-weight:bold; +} +.deprecation-comment, .help-footnote, .preview-comment { + font-style:italic; +} +.deprecation-block { + font-size:14px; + font-family:'DejaVu Serif', Georgia, "Times New Roman", Times, serif; + border-style:solid; + border-width:thin; + border-radius:10px; + padding:10px; + margin-bottom:10px; + margin-right:10px; + display:inline-block; +} +.preview-block { + font-size:14px; + font-family:'DejaVu Serif', Georgia, "Times New Roman", Times, serif; + border-style:solid; + border-width:thin; + border-radius:10px; + padding:10px; + margin-bottom:10px; + margin-right:10px; + display:inline-block; +} +div.block div.deprecation-comment { + font-style:normal; +} +/* + * Styles specific to HTML5 elements. + */ +main, nav, header, footer, section { + display:block; +} +/* + * Styles for javadoc search. + */ +.ui-autocomplete-category { + font-weight:bold; + font-size:15px; + padding:7px 0 7px 3px; + background-color:#4D7A97; + color:#FFFFFF; +} +.result-item { + font-size:13px; +} +.ui-autocomplete { + max-height:85%; + max-width:65%; + overflow-y:scroll; + overflow-x:scroll; + white-space:nowrap; + box-shadow: 0 3px 6px rgba(0,0,0,0.16), 0 3px 6px rgba(0,0,0,0.23); +} +ul.ui-autocomplete { + position:fixed; + z-index:999999; + background-color: #FFFFFF; +} +ul.ui-autocomplete li { + float:left; + clear:both; + width:100%; +} +.result-highlight { + font-weight:bold; +} +.ui-autocomplete .result-item { + font-size: inherit; +} +#search-input { + background-image:url('resources/glass.png'); + background-size:13px; + background-repeat:no-repeat; + background-position:2px 3px; + padding-left:20px; + position:relative; + right:-18px; + width:400px; +} +#reset-button { + background-color: rgb(255,255,255); + background-image:url('resources/x.png'); + background-position:center; + background-repeat:no-repeat; + background-size:12px; + border:0 none; + width:16px; + height:16px; + position:relative; + left:-4px; + top:-4px; + font-size:0px; +} +.watermark { + color:#545454; +} +.search-tag-desc-result { + font-style:italic; + font-size:11px; +} +.search-tag-holder-result { + font-style:italic; + font-size:12px; +} +.search-tag-result:target { + background-color:yellow; +} +.module-graph span { + display:none; + position:absolute; +} +.module-graph:hover span { + display:block; + margin: -100px 0 0 100px; + z-index: 1; +} +.inherited-list { + margin: 10px 0 10px 0; +} +section.class-description { + line-height: 1.4; +} +.summary section[class$="-summary"], .details section[class$="-details"], +.class-uses .detail, .serialized-class-details { + padding: 0px 20px 5px 10px; + border: 1px solid #ededed; + background-color: #f8f8f8; +} +.inherited-list, section[class$="-details"] .detail { + padding:0 0 5px 8px; + background-color:#ffffff; + border:none; +} +.vertical-separator { + padding: 0 5px; +} +ul.help-section-list { + margin: 0; +} +ul.help-subtoc > li { + display: inline-block; + padding-right: 5px; + font-size: smaller; +} +ul.help-subtoc > li::before { + content: "\2022" ; + padding-right:2px; +} +span.help-note { + font-style: italic; +} +/* + * Indicator icon for external links. + */ +main a[href*="://"]::after { + content:""; + display:inline-block; + background-image:url('data:image/svg+xml; utf8, \ + \ + \ + '); + background-size:100% 100%; + width:7px; + height:7px; + margin-left:2px; + margin-bottom:4px; +} +main a[href*="://"]:hover::after, +main a[href*="://"]:focus::after { + background-image:url('data:image/svg+xml; utf8, \ + \ + \ + '); +} + +/* + * Styles for user-provided tables. + * + * borderless: + * No borders, vertical margins, styled caption. + * This style is provided for use with existing doc comments. + * In general, borderless tables should not be used for layout purposes. + * + * plain: + * Plain borders around table and cells, vertical margins, styled caption. + * Best for small tables or for complex tables for tables with cells that span + * rows and columns, when the "striped" style does not work well. + * + * striped: + * Borders around the table and vertical borders between cells, striped rows, + * vertical margins, styled caption. + * Best for tables that have a header row, and a body containing a series of simple rows. + */ + +table.borderless, +table.plain, +table.striped { + margin-top: 10px; + margin-bottom: 10px; +} +table.borderless > caption, +table.plain > caption, +table.striped > caption { + font-weight: bold; + font-size: smaller; +} +table.borderless th, table.borderless td, +table.plain th, table.plain td, +table.striped th, table.striped td { + padding: 2px 5px; +} +table.borderless, +table.borderless > thead > tr > th, table.borderless > tbody > tr > th, table.borderless > tr > th, +table.borderless > thead > tr > td, table.borderless > tbody > tr > td, table.borderless > tr > td { + border: none; +} +table.borderless > thead > tr, table.borderless > tbody > tr, table.borderless > tr { + background-color: transparent; +} +table.plain { + border-collapse: collapse; + border: 1px solid black; +} +table.plain > thead > tr, table.plain > tbody tr, table.plain > tr { + background-color: transparent; +} +table.plain > thead > tr > th, table.plain > tbody > tr > th, table.plain > tr > th, +table.plain > thead > tr > td, table.plain > tbody > tr > td, table.plain > tr > td { + border: 1px solid black; +} +table.striped { + border-collapse: collapse; + border: 1px solid black; +} +table.striped > thead { + background-color: #E3E3E3; +} +table.striped > thead > tr > th, table.striped > thead > tr > td { + border: 1px solid black; +} +table.striped > tbody > tr:nth-child(even) { + background-color: #EEE +} +table.striped > tbody > tr:nth-child(odd) { + background-color: #FFF +} +table.striped > tbody > tr > th, table.striped > tbody > tr > td { + border-left: 1px solid black; + border-right: 1px solid black; +} +table.striped > tbody > tr > th { + font-weight: normal; +} +/** + * Tweak font sizes and paddings for small screens. + */ +@media screen and (max-width: 1050px) { + #search-input { + width: 300px; + } +} +@media screen and (max-width: 800px) { + #search-input { + width: 200px; + } + .top-nav, + .bottom-nav { + font-size: 11px; + padding-top: 6px; + } + .sub-nav { + font-size: 11px; + } + .about-language { + padding-right: 16px; + } + ul.nav-list li, + .sub-nav .nav-list-search { + padding: 6px; + } + ul.sub-nav-list li { + padding-top: 5px; + } + main { + padding: 10px; + } + .summary section[class$="-summary"], .details section[class$="-details"], + .class-uses .detail, .serialized-class-details { + padding: 0 8px 5px 8px; + } + body { + -webkit-text-size-adjust: none; + } +} +@media screen and (max-width: 500px) { + #search-input { + width: 150px; + } + .top-nav, + .bottom-nav { + font-size: 10px; + } + .sub-nav { + font-size: 10px; + } + .about-language { + font-size: 10px; + padding-right: 12px; + } +} diff --git a/docs/source/javadoc/tag-search-index.js b/docs/source/javadoc/tag-search-index.js new file mode 100644 index 00000000000..f2a440c7fee --- /dev/null +++ b/docs/source/javadoc/tag-search-index.js @@ -0,0 +1 @@ +tagSearchIndex = [{"l":"Constant Field Values","h":"","u":"constant-values.html"}];updateSearchResults(); \ No newline at end of file diff --git a/docs/source/javadoc/type-search-index.js b/docs/source/javadoc/type-search-index.js new file mode 100644 index 00000000000..c878c170e3b --- /dev/null +++ b/docs/source/javadoc/type-search-index.js @@ -0,0 +1 @@ +typeSearchIndex = [{"l":"All Classes and Interfaces","u":"allclasses-index.html"},{"p":"org.pytorch.executorch","l":"DType"},{"p":"org.pytorch.executorch","l":"EValue"},{"p":"org.pytorch.executorch.annotations","l":"Experimental"},{"p":"org.pytorch.executorch","l":"LlamaCallback"},{"p":"org.pytorch.executorch","l":"LlamaModule"},{"p":"org.pytorch.executorch","l":"Module"},{"p":"org.pytorch.executorch","l":"Tensor"}];updateSearchResults(); \ No newline at end of file