org.bytedeco.pytorch.ConvTranspose2dImpl Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.5.9: DO NOT EDIT THIS FILE
package org.bytedeco.pytorch;
import org.bytedeco.pytorch.Allocator;
import org.bytedeco.pytorch.Function;
import org.bytedeco.pytorch.Module;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.javacpp.presets.javacpp.*;
import static org.bytedeco.openblas.global.openblas_nolapack.*;
import static org.bytedeco.openblas.global.openblas.*;
import static org.bytedeco.pytorch.global.torch.*;
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ConvTranspose2d
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/** Applies the ConvTranspose2d function.
* See https://pytorch.org/docs/master/nn.html#torch.nn.ConvTranspose2d to
* learn about the exact behavior of this module.
*
* See the documentation for {@code torch::nn::ConvTranspose2dOptions} class to learn
* what constructor arguments are supported for this module.
*
* Example:
* {@code
* ConvTranspose2d model(ConvTranspose2dOptions(3, 2,
* 3).stride(1).bias(false));
* } */
@Namespace("torch::nn") @Properties(inherit = org.bytedeco.pytorch.presets.torch.class)
public class ConvTranspose2dImpl extends ConvTranspose2dImplBase {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ConvTranspose2dImpl(Pointer p) { super(p); }
public ConvTranspose2dImpl(
@Cast("int64_t") long input_channels,
@Cast("int64_t") long output_channels,
@ByVal @Cast("torch::ExpandingArray<2>*") LongPointer kernel_size) { super((Pointer)null); allocate(input_channels, output_channels, kernel_size); }
@NoDeallocator private native void allocate(
@Cast("int64_t") long input_channels,
@Cast("int64_t") long output_channels,
@ByVal @Cast("torch::ExpandingArray<2>*") LongPointer kernel_size);
public ConvTranspose2dImpl(@ByVal ConvTranspose2dOptions options_) { super((Pointer)null); allocate(options_); }
@NoDeallocator private native void allocate(@ByVal ConvTranspose2dOptions options_);
public native @ByVal Tensor forward(
@Const @ByRef Tensor input,
@Const @ByRef(nullValue = "c10::optional(c10::nullopt)") LongArrayRefOptional output_size);
public native @ByVal Tensor forward(
@Const @ByRef Tensor input);
public native @ByVal Tensor forward(
@Const @ByRef Tensor input,
@ByRef(nullValue = "c10::optional(c10::nullopt)") @Cast({"int64_t*", "c10::ArrayRef", "std::vector&"}) @StdVector long... output_size);
}
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