@Namespace(value="tensorflow::ops") @NoOffset public static class tensorflow.QuantizedResizeBilinear extends Pointer
images to size using quantized bilinear interpolation.
Input images and output images must be quantized types.
Arguments:
* scope: A Scope object
* images: 4-D with shape [batch, height, width, channels].
* size: = A 1-D int32 Tensor of 2 elements: new_height, new_width. The
new size for the images.
Optional attributes (see Attrs):
* align_corners: If true, the centers of the 4 corner pixels of the input and output tensors are
aligned, preserving the values at the corner pixels. Defaults to false.
Returns:
* Output resized_images: 4-D with shape
[batch, new_height, new_width, channels].
* Output out_min
* Output out_max| Modifier and Type | Class and Description |
|---|---|
static class |
tensorflow.QuantizedResizeBilinear.Attrs
Optional attribute setters for QuantizedResizeBilinear
|
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator| Constructor and Description |
|---|
QuantizedResizeBilinear(Pointer p)
Pointer cast constructor.
|
QuantizedResizeBilinear(tensorflow.Scope scope,
tensorflow.Input images,
tensorflow.Input size,
tensorflow.Input min,
tensorflow.Input max) |
QuantizedResizeBilinear(tensorflow.Scope scope,
tensorflow.Input images,
tensorflow.Input size,
tensorflow.Input min,
tensorflow.Input max,
tensorflow.QuantizedResizeBilinear.Attrs attrs) |
| Modifier and Type | Method and Description |
|---|---|
static tensorflow.QuantizedResizeBilinear.Attrs |
AlignCorners(boolean x) |
tensorflow.Operation |
operation() |
tensorflow.QuantizedResizeBilinear |
operation(tensorflow.Operation operation) |
tensorflow.Output |
out_max() |
tensorflow.QuantizedResizeBilinear |
out_max(tensorflow.Output out_max) |
tensorflow.Output |
out_min() |
tensorflow.QuantizedResizeBilinear |
out_min(tensorflow.Output out_min) |
tensorflow.Output |
resized_images() |
tensorflow.QuantizedResizeBilinear |
resized_images(tensorflow.Output resized_images) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic QuantizedResizeBilinear(Pointer p)
Pointer.Pointer(Pointer).public QuantizedResizeBilinear(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input images, @ByVal tensorflow.Input size, @ByVal tensorflow.Input min, @ByVal tensorflow.Input max)
public QuantizedResizeBilinear(@Const @ByRef tensorflow.Scope scope, @ByVal tensorflow.Input images, @ByVal tensorflow.Input size, @ByVal tensorflow.Input min, @ByVal tensorflow.Input max, @Const @ByRef tensorflow.QuantizedResizeBilinear.Attrs attrs)
@ByVal public static tensorflow.QuantizedResizeBilinear.Attrs AlignCorners(@Cast(value="bool") boolean x)
@ByRef public tensorflow.Operation operation()
public tensorflow.QuantizedResizeBilinear operation(tensorflow.Operation operation)
@ByRef public tensorflow.Output resized_images()
public tensorflow.QuantizedResizeBilinear resized_images(tensorflow.Output resized_images)
@ByRef public tensorflow.Output out_min()
public tensorflow.QuantizedResizeBilinear out_min(tensorflow.Output out_min)
@ByRef public tensorflow.Output out_max()
public tensorflow.QuantizedResizeBilinear out_max(tensorflow.Output out_max)
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