DataBufferWindow
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Known Indirect Subclasses
|
A mutable container for viewing part of a DataBuffer
.
Data buffer windows have a fixed size and can "slide"
along a buffer to provide different views of the data without allocating a new buffer instance,
like offset(long)
does. This improves overall performance when this operation
is repeated frequently. For example:
IntDataBuffer bufferA = DataBuffers.ofInts(1024);
// ... init buffer data
IntDataBuffer bufferB = DataBuffers.ofInts(1, 2, 3, 4);
// Return the index of the first occurrence of bufferB in bufferA using a sliding window
DataBufferWindow<IntDataBuffer> windowA = bufferA.window(4);
for (int i = 0; i < bufferA.size() - bufferB.size(); ++i) {
if (windowA.slideTo(i).buffer().equals(bufferB)) {
return i;
}
}
DataBufferWindow
instances are stateful and not thread-safe.
Public Methods
abstract
B
|
buffer()
Returns the buffer backing this window.
|
abstract
long
|
offset()
Returns the current offset of this window in the original buffer.
|
abstract
long
|
size()
Returns the size of this buffer window.
|
abstract
DataBufferWindow<B>
|
slide(long step)
Moves the window of step elements in the original buffer.
|
abstract
DataBufferWindow<B>
|
slideTo(long index)
Moves the window at the given position in the original buffer.
|
Public Methods
public
abstract
B
buffer
()
Returns the buffer backing this window.
Each window instance has it's own buffer providing a view onto the original
DataBuffer
. The buffers are mutated when the window slides to different offsets.
For example:
IntDataBuffer buffer = DataBuffers.of(0, 1, 2, 3);
DataBufferWindow<IntDataBuffer> window = buffer.window(0, 2);
IntDataBuffer windowBuffer = window.buffer();
assertEquals(0, windowBuffer.getInt(0));
assertEquals(1, windowBuffer.getInt(1));
window.slideTo(2);
assertEquals(2, windowBuffer.getInt(0));
assertEquals(3, windowBuffer.getInt(1));
assertSame(windowBuffer, window.buffer());
public
abstract
long
offset
()
Returns the current offset of this window in the original buffer.
public
abstract
long
size
()
Returns the size of this buffer window.
public
abstract
DataBufferWindow<B>
slide
(long step)
Moves the window of step
elements in the original buffer.
The size of the window remains the same and its offset is set to offset() + step
.
If step
is positive, then the window will slide forward. If it is negative, it will
slide backward.
Parameters
step |
value to add to the current offset of this window |
Throws
IndexOutOfBoundsException |
if the window cannot be slid because it goes beyond
the original buffer limits
|
public
abstract
DataBufferWindow<B>
slideTo
(long index)
Moves the window at the given position in the original buffer.
The size of the window remains the same and its offset is set to index
, so that
accessing the value of buffer()
at index x
will return the value at
index + x
in the original buffer.
Parameters
index |
new offset for this window |
Throws
IndexOutOfBoundsException |
if the window cannot be slid because it goes beyond
the original buffer limits
|
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Last updated 2021-11-29 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-11-29 UTC."],[],[],null,["# DataBufferWindow\n\npublic interface **DataBufferWindow** \n\n|---|---|---|\n| Known Indirect Subclasses [AbstractDataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/impl/buffer/AbstractDataBufferWindow)\\\u003cB extends [DataBuffer](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBuffer)\\\u003c?\\\u003e\\\u003e |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---| | [AbstractDataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/impl/buffer/AbstractDataBufferWindow)\\\u003cB extends [DataBuffer](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBuffer)\\\u003c?\\\u003e\\\u003e | | |||\n\nA mutable container for viewing part of a [DataBuffer](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBuffer).\n\nData buffer windows have a fixed size and can [\"slide\"](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#slide(long))\nalong a buffer to provide different views of the data without allocating a new buffer instance,\nlike [offset(long)](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBuffer#offset(long)) does. This improves overall performance when this operation\nis repeated frequently. For example:\n\n IntDataBuffer bufferA = DataBuffers.ofInts(1024);\n // ... init buffer data\n IntDataBuffer bufferB = DataBuffers.ofInts(1, 2, 3, 4);\n\n // Return the index of the first occurrence of bufferB in bufferA using a sliding window\n DataBufferWindow\u003cIntDataBuffer\u003e windowA = bufferA.window(4);\n for (int i = 0; i \u003c bufferA.size() - bufferB.size(); ++i) {\n if (windowA.slideTo(i).buffer().equals(bufferB)) {\n return i;\n \n }\n }\n\n`DataBufferWindow` instances are stateful and not thread-safe.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n### Public Methods\n\n|-----------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| abstract B | [buffer](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#buffer())() Returns the buffer backing this window. |\n| abstract long | [offset](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#offset())() Returns the current offset of this window in the original buffer. |\n| abstract long | [size](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#size())() Returns the size of this buffer window. |\n| abstract [DataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow)\\\u003cB\\\u003e | [slide](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#slide(long))(long step) Moves the window of `step` elements in the original buffer. |\n| abstract [DataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow)\\\u003cB\\\u003e | [slideTo](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#slideTo(long))(long index) Moves the window at the given position in the original buffer. |\n\nPublic Methods\n--------------\n\n#### public abstract B\n**buffer**\n()\n\nReturns the buffer backing this window.\n\nEach window instance has it's own buffer providing a view onto the original\n[DataBuffer](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBuffer). The buffers are mutated when the window slides to different offsets.\nFor example:\n\n IntDataBuffer buffer = DataBuffers.of(0, 1, 2, 3);\n DataBufferWindow\u003cIntDataBuffer\u003e window = buffer.window(0, 2);\n\n IntDataBuffer windowBuffer = window.buffer();\n assertEquals(0, windowBuffer.getInt(0));\n assertEquals(1, windowBuffer.getInt(1));\n\n window.slideTo(2);\n assertEquals(2, windowBuffer.getInt(0));\n assertEquals(3, windowBuffer.getInt(1));\n assertSame(windowBuffer, window.buffer());\n \n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n##### Returns\n\n- this window's buffer \n\n#### public abstract long\n**offset**\n()\n\nReturns the current offset of this window in the original buffer. \n\n#### public abstract long\n**size**\n()\n\nReturns the size of this buffer window. \n\n#### public abstract [DataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow)\\\u003cB\\\u003e\n**slide**\n(long step)\n\nMoves the window of `step` elements in the original buffer.\n\nThe size of the window remains the same and its offset is set to `offset() + step`.\nIf `step` is positive, then the window will slide forward. If it is negative, it will\nslide backward.\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| step | value to add to the current offset of this window |\n|------|---------------------------------------------------|\n\n##### Returns\n\n- this instance \n\n##### Throws\n\n| IndexOutOfBoundsException | if the window cannot be slid because it goes beyond the original buffer limits |\n|---------------------------|--------------------------------------------------------------------------------|\n\n#### public abstract [DataBufferWindow](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow)\\\u003cB\\\u003e\n**slideTo**\n(long index)\n\nMoves the window at the given position in the original buffer.\n\nThe size of the window remains the same and its offset is set to `index`, so that\naccessing the value of [buffer()](/jvm/api_docs/java/org/tensorflow/ndarray/buffer/DataBufferWindow#buffer()) at index `x` will return the value at\n`index + x` in the original buffer.\n\n\u003cbr /\u003e\n\n##### Parameters\n\n| index | new offset for this window |\n|-------|----------------------------|\n\n##### Returns\n\n- this instance \n\n##### Throws\n\n| IndexOutOfBoundsException | if the window cannot be slid because it goes beyond the original buffer limits |\n|---------------------------|--------------------------------------------------------------------------------|"]]