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

Packages that use tensorflow.Tensor

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

Uses of tensorflow.Tensor in org.bytedeco.javacpp

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

Modifier and Type	Method and Description
tensorflow.Tensor	tensorflow.TensorValue.access()
tensorflow.Tensor	tensorflow.PersistentTensor.AccessTensor(tensorflow.OpKernelConstruction context)
tensorflow.Tensor	tensorflow.PersistentTensor.AccessTensor(tensorflow.OpKernelContext context)
tensorflow.Tensor	tensorflow.OpMutableInputList.at(int i, boolean lock_held)
static tensorflow.Tensor	tensorflow.DeepCopy(tensorflow.Tensor other)
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)
tensorflow.Tensor[]	tensorflow.TensorVector.get()
tensorflow.Tensor	tensorflow.TensorVector.Iterator.get()
tensorflow.Tensor[]	tensorflow.ConstTensorPtrVector.get()
tensorflow.Tensor	tensorflow.ConstTensorPtrVector.Iterator.get()
tensorflow.Tensor	tensorflow.OpInputList.get(int i)
tensorflow.Tensor	tensorflow.OpOutputList.get(int i)
tensorflow.Tensor	tensorflow.TensorVector.get(long i)
tensorflow.Tensor	tensorflow.ConstTensorPtrVector.get(long i)
tensorflow.Tensor	tensorflow.InferenceContext.input_tensor(int idx)
tensorflow.Tensor	tensorflow.OpKernelContext.input(int index)
static tensorflow.Tensor	tensorflow.TensorCApi.MakeTensor(int type, tensorflow.TensorShape shape, tensorflow.TensorBuffer buf)
tensorflow.Tensor	tensorflow.OpKernelContext.mutable_input(int index, boolean lock_held)
tensorflow.Tensor	tensorflow.OpKernelContext.mutable_output(int index)
tensorflow.Tensor	tensorflow.TensorVector.pop_back()
tensorflow.Tensor	tensorflow.ConstTensorPtrVector.pop_back()
tensorflow.Tensor	tensorflow.Tensor.position(long position)
tensorflow.Tensor	tensorflow.Tensor.put(tensorflow.Tensor other) Assign operator.
tensorflow.Tensor	tensorflow.StringTensorPairVector.second(long i)
tensorflow.Tensor	tensorflow.Tensor.Slice(long dim0_start, long dim0_limit) \brief Slice this tensor along the 1st dimension.
tensorflow.Tensor	tensorflow.Tensor.SubSlice(long index) \brief Select a subslice from this tensor along the 1st dimension.
tensorflow.Tensor	tensorflow.TensorStore.TensorAndKey.tensor()
tensorflow.Tensor	tensorflow.TensorValue.tensor()
tensorflow.Tensor	tensorflow.Input.tensor()
tensorflow.Tensor	tensorflow.Input.Initializer.tensor()

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

Modifier and Type	Method and Description
tensorflow.Status	tensorflow.OpOutputList._allocate(int i, tensorflow.TensorShape shape, tensorflow.Tensor output)
tensorflow.Status	tensorflow.BundleWriter.Add(BytePointer key, tensorflow.Tensor val)
tensorflow.Status	tensorflow.BundleWriter.Add(String key, tensorflow.Tensor val)
static void	tensorflow.AddNodeAttr(BytePointer name, tensorflow.Tensor value, tensorflow.NodeDef node_def)
static void	tensorflow.AddNodeAttr(String name, tensorflow.Tensor value, tensorflow.NodeDef node_def)
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.SessionState.AddTensor(BytePointer handle, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.SessionState.AddTensor(String handle, tensorflow.Tensor tensor)
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, 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, 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)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(BytePointer name, tensorflow.Tensor value)
tensorflow.NodeDefBuilder	tensorflow.NodeDefBuilder.Attr(String name, tensorflow.Tensor value)
static tensorflow.TensorBuffer	tensorflow.TensorCApi.Buffer(tensorflow.Tensor tensor)
static tensorflow.Status	tensorflow.Concat(tensorflow.TensorVector tensors, tensorflow.Tensor result)
static tensorflow.Output	tensorflow.Const(tensorflow.Scope scope, tensorflow.Tensor val)
void	tensorflow.DeviceContext.CopyCPUTensorToDevice(tensorflow.Tensor cpu_tensor, tensorflow.Device device, tensorflow.Tensor device_tensor, Pointer done)
void	tensorflow.DeviceContext.CopyDeviceTensorToCPU(tensorflow.Tensor device_tensor, BytePointer tensor_name, tensorflow.Device device, tensorflow.Tensor cpu_tensor, Pointer done)
void	tensorflow.DeviceContext.CopyDeviceTensorToCPU(tensorflow.Tensor device_tensor, String tensor_name, tensorflow.Device device, tensorflow.Tensor cpu_tensor, Pointer done)
static tensorflow.Status	tensorflow.CopyElementToSlice(tensorflow.Tensor element, tensorflow.Tensor parent, long index)
boolean	tensorflow.Tensor.CopyFrom(tensorflow.Tensor other, tensorflow.TensorShape shape) \brief Copy the other tensor into this tensor and reshape it.
static tensorflow.Tensor	tensorflow.DeepCopy(tensorflow.Tensor other)
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, tensorflow.Tensor 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, tensorflow.Tensor 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.Status	tensorflow.CallFrameInterface.GetArg(int index, tensorflow.Tensor val)
tensorflow.Status	tensorflow.FunctionCallFrame.GetArg(int index, tensorflow.Tensor val)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, BytePointer attr_name, tensorflow.Tensor value)
static tensorflow.Status	tensorflow.GetNodeAttr(tensorflow.AttrSlice attrs, String attr_name, tensorflow.Tensor value)
tensorflow.Status	tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t, long... val)
tensorflow.Status	tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t, LongBuffer val)
tensorflow.Status	tensorflow.InferenceContext.GetScalarFromTensor(tensorflow.Tensor t, LongPointer val)
tensorflow.Status	tensorflow.SessionState.GetTensor(BytePointer handle, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.TensorSliceReader.GetTensor(BytePointer name, tensorflow.Tensor out_tensor)
void	tensorflow.CheckpointReader.GetTensor(BytePointer name, tensorflow.Tensor out_tensor, tensorflow.TF_Status out_status)
tensorflow.Status	tensorflow.SessionState.GetTensor(String handle, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.TensorSliceReader.GetTensor(String name, tensorflow.Tensor out_tensor)
void	tensorflow.CheckpointReader.GetTensor(String name, tensorflow.Tensor out_tensor, tensorflow.TF_Status out_status)
tensorflow.Status	tensorflow.OpKernelContext.input(BytePointer name, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.input(String name, tensorflow.Tensor tensor)
tensorflow.ConstTensorPtrVector.Iterator	tensorflow.ConstTensorPtrVector.insert(tensorflow.ConstTensorPtrVector.Iterator pos, tensorflow.Tensor value)
tensorflow.TensorVector.Iterator	tensorflow.TensorVector.insert(tensorflow.TensorVector.Iterator pos, tensorflow.Tensor value)
boolean	tensorflow.Tensor.IsSameSize(tensorflow.Tensor b)
tensorflow.Status	tensorflow.BundleReader.Lookup(BytePointer key, tensorflow.Tensor val)
tensorflow.Status	tensorflow.BundleReader.Lookup(String key, tensorflow.Tensor val)
tensorflow.Status	tensorflow.BundleReader.LookupSlice(BytePointer full_tensor_key, tensorflow.TensorSlice slice_spec, tensorflow.Tensor val)
tensorflow.Status	tensorflow.BundleReader.LookupSlice(String full_tensor_key, tensorflow.TensorSlice slice_spec, tensorflow.Tensor val)
void	tensorflow.DeviceContext.MaintainLifetimeOnStream(tensorflow.Tensor t, tensorflow.Stream stream)
tensorflow.Status	tensorflow.OpKernel.MakeShape(tensorflow.Tensor shape, tensorflow.TensorShape out)
tensorflow.Status	tensorflow.InferenceContext.MakeShapeFromTensor(tensorflow.Tensor t, tensorflow.ShapeHandle tensor_shape, tensorflow.ShapeHandle out)
tensorflow.Status	tensorflow.DeviceBase.MakeTensorFromProto(tensorflow.TensorProto tensor_proto, tensorflow.AllocatorAttributes alloc_attrs, tensorflow.Tensor tensor)
static tensorflow.Status	tensorflow.MaybeMoveSliceToElement(tensorflow.Tensor parent, tensorflow.Tensor element, long index)
tensorflow.Status	tensorflow.OpKernelContext.mutable_input(BytePointer name, tensorflow.Tensor tensor, boolean lock_held)
tensorflow.Status	tensorflow.OpKernelContext.mutable_input(String name, tensorflow.Tensor tensor, boolean lock_held)
tensorflow.Status	tensorflow.OpKernelContext.mutable_output(BytePointer name, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.mutable_output(String name, tensorflow.Tensor tensor)
tensorflow.TensorVector	tensorflow.TensorVector.push_back(tensorflow.Tensor value)
tensorflow.ConstTensorPtrVector	tensorflow.ConstTensorPtrVector.push_back(tensorflow.Tensor value)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(BytePointer[] firstValue, tensorflow.Tensor[] secondValue)
tensorflow.TensorVector	tensorflow.TensorVector.put(long i, tensorflow.Tensor value)
tensorflow.ConstTensorPtrVector	tensorflow.ConstTensorPtrVector.put(long i, tensorflow.Tensor value)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.put(String[] firstValue, tensorflow.Tensor[] secondValue)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.Tensor... array)
tensorflow.ConstTensorPtrVector	tensorflow.ConstTensorPtrVector.put(tensorflow.Tensor... array)
tensorflow.TensorVector	tensorflow.TensorVector.put(tensorflow.Tensor value)
tensorflow.ConstTensorPtrVector	tensorflow.ConstTensorPtrVector.put(tensorflow.Tensor value)
tensorflow.Tensor	tensorflow.Tensor.put(tensorflow.Tensor other) Assign operator.
tensorflow.Status	tensorflow.BundleReader.ReadCurrent(tensorflow.Tensor val)
void	tensorflow.OpKernelContext.record_temp_memory_allocation(long size, tensorflow.Tensor t)
tensorflow.Status	tensorflow.OpKernelContext.replace_ref_input(BytePointer name, tensorflow.Tensor tensor, boolean lock_held)
void	tensorflow.OpKernelContext.replace_ref_input(int index, tensorflow.Tensor tensor, boolean lock_held)
tensorflow.Status	tensorflow.OpKernelContext.replace_ref_input(String name, tensorflow.Tensor tensor, boolean lock_held)
tensorflow.StringTensorPairVector	tensorflow.StringTensorPairVector.second(long i, tensorflow.Tensor second)
tensorflow.Status	tensorflow.OpKernelContext.set_output_ref(BytePointer name, Pointer mu, tensorflow.Tensor tensor_for_ref)
void	tensorflow.OpKernelContext.set_output_ref(int index, Pointer mu, tensorflow.Tensor tensor_for_ref)
tensorflow.Status	tensorflow.OpKernelContext.set_output_ref(String name, Pointer mu, tensorflow.Tensor tensor_for_ref)
tensorflow.Status	tensorflow.OpKernelContext.set_output(BytePointer name, tensorflow.Tensor tensor)
void	tensorflow.OpKernelContext.set_output(int index, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.OpKernelContext.set_output(String name, tensorflow.Tensor tensor)
void	tensorflow.OpOutputList.set_ref(int i, Pointer mu, tensorflow.Tensor tensor_for_ref)
void	tensorflow.OpOutputList.set(int i, tensorflow.Tensor tensor)
tensorflow.Status	tensorflow.CallFrameInterface.SetRetval(int index, tensorflow.Tensor val)
tensorflow.Status	tensorflow.FunctionCallFrame.SetRetval(int index, tensorflow.Tensor val)
boolean	tensorflow.TensorReference.SharesBufferWith(tensorflow.Tensor t)
boolean	tensorflow.Tensor.SharesBufferWith(tensorflow.Tensor b)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, long[] sizes, tensorflow.TensorVector result)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, LongBuffer sizes, tensorflow.TensorVector result)
static tensorflow.Status	tensorflow.Split(tensorflow.Tensor tensor, LongPointer sizes, tensorflow.TensorVector result)
tensorflow.TensorStore.TensorAndKey	tensorflow.TensorStore.TensorAndKey.tensor(tensorflow.Tensor tensor)
tensorflow.TensorValue	tensorflow.TensorValue.tensor(tensorflow.Tensor tensor)
tensorflow.Input.Initializer	tensorflow.Input.Initializer.tensor(tensorflow.Tensor tensor)
static tensorflow.TF_Tensor	tensorflow.TF_TensorFromTensor(tensorflow.Tensor src, tensorflow.TF_Status status)
static tensorflow.Status	tensorflow.TF_TensorToTensor(tensorflow.TF_Tensor src, tensorflow.Tensor dst)
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.Tensor value)
tensorflow.GraphDefBuilder.Options	tensorflow.GraphDefBuilder.Options.WithAttr(String attr_name, tensorflow.Tensor value)

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

Constructor and Description
ConstTensorPtrVector(tensorflow.Tensor... array)
ConstTensorPtrVector(tensorflow.Tensor value)
Initializer(tensorflow.Tensor t) Construct from a scalar value of an arithmetic type or a type that can be converted to a string (eg.
Input(tensorflow.Tensor init)
PersistentTensor(tensorflow.Tensor tensor)
StringTensorPairVector(BytePointer[] firstValue, tensorflow.Tensor[] secondValue)
StringTensorPairVector(String[] firstValue, tensorflow.Tensor[] secondValue)
Tensor(tensorflow.Tensor other) Copy constructor.
TensorReference(tensorflow.Tensor tensor)
TensorValue(Pointer mu, tensorflow.Tensor t)
TensorValue(tensorflow.Tensor t)
TensorVector(tensorflow.Tensor... array)
TensorVector(tensorflow.Tensor value)

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

Methods in org.bytedeco.javacpp.helper that return tensorflow.Tensor

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)