Uses of Class
org.bytedeco.javacpp.tensorflow.TensorShape

Packages that use tensorflow.TensorShape

Package	Description
org.bytedeco.javacpp
org.bytedeco.javacpp.helper

Uses of tensorflow.TensorShape in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.TensorShape

Modifier and Type	Method and Description
tensorflow.TensorShape[]	tensorflow.TensorShapeVector.get()
tensorflow.TensorShape	tensorflow.TensorShapeVector.Iterator.get()
tensorflow.TensorShape	tensorflow.VarToShapeMap.get(BytePointer i)
tensorflow.TensorShape	tensorflow.TensorShapeVector.get(long i)
tensorflow.TensorShape	tensorflow.TensorShapeVector.pop_back()
tensorflow.TensorShape	tensorflow.TensorShape.position(long position)
tensorflow.TensorShape	tensorflow.VarToShapeMap.Iterator.second()
tensorflow.TensorShape	tensorflow.Tensor.shape() Returns the shape of the tensor.
tensorflow.TensorShape	tensorflow.TensorSliceSet.shape()
tensorflow.TensorShape	tensorflow.TF_Tensor.shape()

Methods in org.bytedeco.javacpp with parameters of type tensorflow.TensorShape

Modifier and Type	Method and Description
tensorflow.Status	tensorflow.OpOutputList._allocate(int i, tensorflow.TensorShape shape, PointerPointer output)
tensorflow.Status	tensorflow.OpOutputList._allocate(int i, tensorflow.TensorShape shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.BundleWriter.AddSlice(BytePointer full_tensor_key, tensorflow.TensorShape full_tensor_shape, tensorflow.TensorSlice slice_spec, tensorflow.Tensor slice_tensor)
tensorflow.Status	tensorflow.BundleWriter.AddSlice(String full_tensor_key, tensorflow.TensorShape full_tensor_shape, tensorflow.TensorSlice slice_spec, tensorflow.Tensor slice_tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(BytePointer name, tensorflow.TensorShape shape, PointerPointer tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(BytePointer name, tensorflow.TensorShape shape, PointerPointer tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(BytePointer name, tensorflow.TensorShape shape, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(BytePointer name, tensorflow.TensorShape shape, tensorflow.Tensor tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(int index, tensorflow.TensorShape shape, PointerPointer tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(int index, tensorflow.TensorShape shape, PointerPointer tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(int index, tensorflow.TensorShape shape, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(int index, tensorflow.TensorShape shape, tensorflow.Tensor tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(String name, tensorflow.TensorShape shape, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_output(String name, tensorflow.TensorShape shape, tensorflow.Tensor tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelConstruction.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, PointerPointer out_tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, PointerPointer out_tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, PointerPointer out_tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelConstruction.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, tensorflow.Tensor out_tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, tensorflow.Tensor out_tensor)
tensorflow.Status	tensorflow.OpKernelContext.allocate_persistent(int type, tensorflow.TensorShape shape, tensorflow.PersistentTensor out_persistent, tensorflow.Tensor out_tensor, tensorflow.AllocatorAttributes attr)
tensorflow.Status	tensorflow.OpKernelConstruction.allocate_temp(int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.allocate_temp(int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.allocate_temp(int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp, tensorflow.AllocatorAttributes allocator_attr)
tensorflow.Status	tensorflow.OpKernelContext.allocate_temp(int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp, tensorflow.AllocatorAttributes allocator_attr, tensorflow.AllocationAttributes allocation_attr)
boolean	tensorflow.PartialTensorShape.AsTensorShape(tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, boolean v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, BytePointer v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, byte v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, double v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, float v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, int v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, long v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, short v, tensorflow.TensorShape shape)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, String v, tensorflow.TensorShape shape)
boolean	tensorflow.Tensor.CopyFrom(tensorflow.Tensor other, tensorflow.TensorShape shape) \brief Copy the other tensor into this tensor and reshape it.
static boolean	tensorflow.TensorShapeUtils.EndsWith(tensorflow.TensorShape shape, tensorflow.TensorShape suffix) \brief Returns true iff shape ends with suffix.
boolean	tensorflow.TensorShape.equals(tensorflow.TensorShape b)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(int[] candidate_input_indices, int output_index, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(IntBuffer candidate_input_indices, int output_index, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices, int output_index, tensorflow.TensorShape output_shape, PointerPointer output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices, int output_index, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names, BytePointer output_name, tensorflow.TensorShape output_shape, PointerPointer output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names, BytePointer output_name, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_output(tensorflow.StringPieceVector candidate_input_names, String output_name, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.AllocatorAttributes allocator_attr, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.AllocatorAttributes allocator_attr, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.AllocatorAttributes allocator_attr, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices, int type, tensorflow.TensorShape shape, tensorflow.Tensor out_temp)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name, BytePointer output_name, tensorflow.TensorShape output_shape, PointerPointer output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name, BytePointer output_name, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
boolean	tensorflow.OpKernelContext.forward_input_to_output_with_shape(int input_index, int output_index, tensorflow.TensorShape output_shape, PointerPointer output)
boolean	tensorflow.OpKernelContext.forward_input_to_output_with_shape(int input_index, int output_index, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.OpKernelContext.forward_input_to_output_with_shape(String input_name, String output_name, tensorflow.TensorShape output_shape, tensorflow.Tensor output)
tensorflow.Tensor	tensorflow.OpKernelContext.forward_input(int input_index, int output_index, int output_dtype, tensorflow.TensorShape output_shape, int output_memory_type, tensorflow.AllocatorAttributes output_attr)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, BytePointer attr_name, tensorflow.TensorShape value)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, String attr_name, tensorflow.TensorShape value)
boolean	tensorflow.TensorSliceReader.HasTensor(BytePointer name, tensorflow.TensorShape shape, IntPointer type)
boolean	tensorflow.TensorSliceReader.HasTensor(String name, tensorflow.TensorShape shape, IntPointer type)
tensorflow.TensorShapeVector.Iterator	tensorflow.TensorShapeVector.insert(tensorflow.TensorShapeVector.Iterator pos, tensorflow.TensorShape value)
boolean	tensorflow.OpKernel.IsLegacyScalar(tensorflow.TensorShape shape)
boolean	tensorflow.OpKernel.IsLegacyVector(tensorflow.TensorShape shape)
static boolean	tensorflow.TensorShapeUtils.IsMatrix(tensorflow.TensorShape shape)
static boolean	tensorflow.TensorShapeUtils.IsMatrixOrHigher(tensorflow.TensorShape shape)
boolean	tensorflow.TensorShape.IsSameSize(tensorflow.TensorShape b) Returns true if *this and b have the same sizes.
static boolean	tensorflow.TensorShapeUtils.IsScalar(tensorflow.TensorShape shape)
static boolean	tensorflow.TensorShapeUtils.IsSquareMatrix(tensorflow.TensorShape shape)
static boolean	tensorflow.TensorShapeUtils.IsVector(tensorflow.TensorShape shape)
static boolean	tensorflow.TensorShapeUtils.IsVectorOrHigher(tensorflow.TensorShape shape)
tensorflow.Status	tensorflow.BundleReader.LookupDtypeAndShape(BytePointer key, IntPointer dtype, tensorflow.TensorShape shape)
tensorflow.Status	tensorflow.BundleReader.LookupDtypeAndShape(String key, IntPointer dtype, tensorflow.TensorShape shape)
tensorflow.Status	tensorflow.BundleReader.LookupTensorShape(BytePointer key, tensorflow.TensorShape shape)
tensorflow.Status	tensorflow.BundleReader.LookupTensorShape(String key, tensorflow.TensorShape shape)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(int[] dims, long n, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(int[] shape, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(IntBuffer dims, long n, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(IntBuffer shape, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(IntPointer dims, long n, tensorflow.TensorShape out) \brief Returns a TensorShape whose dimensions are dims[0], dims[1], ..., dims[n-1].
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(IntPointer shape, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(long[] dims, long n, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(long[] shape, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(LongBuffer dims, long n, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(LongBuffer shape, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(LongPointer dims, long n, tensorflow.TensorShape out)
static tensorflow.Status	tensorflow.TensorShapeUtils.MakeShape(LongPointer shape, tensorflow.TensorShape out)
tensorflow.Status	tensorflow.OpKernel.MakeShape(tensorflow.Tensor shape, tensorflow.TensorShape out)
tensorflow.Status	tensorflow.InferenceContext.MakeShapeFromTensorShape(tensorflow.TensorShape shape, tensorflow.ShapeHandle out)
static tensorflow.Tensor	tensorflow.TensorCApi.MakeTensor(int type, tensorflow.TensorShape shape, tensorflow.TensorBuffer buf)
boolean	tensorflow.TensorShape.notEquals(tensorflow.TensorShape b)
tensorflow.TensorShapeVector	tensorflow.TensorShapeVector.push_back(tensorflow.TensorShape value)
tensorflow.VarToShapeMap	tensorflow.VarToShapeMap.put(BytePointer i, tensorflow.TensorShape value)
tensorflow.TensorShapeVector	tensorflow.TensorShapeVector.put(long i, tensorflow.TensorShape value)
tensorflow.TensorShapeVector	tensorflow.TensorShapeVector.put(tensorflow.TensorShape... array)
tensorflow.TensorShapeVector	tensorflow.TensorShapeVector.put(tensorflow.TensorShape value)
static tensorflow.Status	tensorflow.RegisterTensorSlice(BytePointer name, tensorflow.TensorShape shape, int type, BytePointer tag, tensorflow.TensorSlice slice, tensorflow.StringTensorSliceSetMap tensor_slices)
static tensorflow.Status	tensorflow.RegisterTensorSlice(String name, tensorflow.TensorShape shape, int type, String tag, tensorflow.TensorSlice slice, tensorflow.StringTensorSliceSetMap tensor_slices)
tensorflow.TF_Tensor	tensorflow.TF_Tensor.shape(tensorflow.TensorShape shape)
tensorflow.Status	tensorflow.TensorSlice.SliceTensorShape(tensorflow.TensorShape shape, tensorflow.TensorShape result_shape)
static boolean	tensorflow.TensorShapeUtils.StartsWith(tensorflow.TensorShape shape, tensorflow.TensorShape prefix) \brief Returns true iff shape starts with prefix.
void	tensorflow.Tensor.UnsafeCopyFromInternal(tensorflow.Tensor arg0, int dtype, tensorflow.TensorShape arg2) Copy the other tensor into this tensor and reshape it and reinterpret the buffer's datatype.
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(BytePointer attr_name, tensorflow.TensorShape value)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(String attr_name, tensorflow.TensorShape value)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.TensorShape

Constructor and Description
Tensor(int type, tensorflow.TensorShape shape) \brief Creates a Tensor of the given type and shape.
Tensor(int type, tensorflow.TensorShape shape, Pointer data)
Tensor(int type, tensorflow.TensorShape shape, tensorflow.TensorBuffer buf) \brief Move constructor.
Tensor(tensorflow.Allocator a, int type, tensorflow.TensorShape shape) \brief Creates a tensor with the input type and shape, using the allocator a to allocate the underlying buffer.
Tensor(tensorflow.Allocator a, int type, tensorflow.TensorShape shape, tensorflow.AllocationAttributes allocation_attr) \brief Creates a tensor with the input type and shape, using the allocator a and the specified "allocation_attr" to allocate the underlying buffer.
TensorShapeIter(tensorflow.TensorShape shape, int d)
TensorShapeVector(tensorflow.TensorShape... array)
TensorShapeVector(tensorflow.TensorShape value)
TensorSliceSet(tensorflow.TensorShape shape, int type)

Uses of tensorflow.TensorShape in org.bytedeco.javacpp.helper

Methods in org.bytedeco.javacpp.helper with parameters of type tensorflow.TensorShape

Modifier and Type	Method and Description
static tensorflow.Tensor	tensorflow.AbstractTensor.create(byte[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(double[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(float[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(int[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(long[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(short[] data, tensorflow.TensorShape shape)
static tensorflow.Tensor	tensorflow.AbstractTensor.create(String[] data, tensorflow.TensorShape shape)