Package | Description |
---|---|
org.bytedeco.tensorflow | |
org.bytedeco.tensorflow.global |
Modifier and Type | Method and Description |
---|---|
TensorShape[] |
TensorShapeVector.get() |
TensorShape |
TensorShapeVector.Iterator.get() |
TensorShape[] |
TensorShapeVector.get() |
TensorShape |
TensorShapeVector.Iterator.get() |
TensorShape |
VarToShapeMap.get(BytePointer i) |
TensorShape |
VarToShapeMap.get(BytePointer i) |
TensorShape |
IntTensorShapeMap.get(int i) |
TensorShape |
IntTensorShapeMap.get(int i) |
TensorShape |
TensorShapeVector.get(long i) |
TensorShape |
TensorShapeVector.get(long i) |
TensorShape |
TensorShape.getPointer(long i) |
TensorShape |
TensorShape.getPointer(long i) |
TensorShape |
TensorShapeVector.pop_back() |
TensorShape |
TensorShapeVector.pop_back() |
TensorShape |
TensorShape.position(long position) |
TensorShape |
TensorShape.position(long position) |
TensorShape |
DataTypeTensorShapePair.second() |
TensorShape |
IntTensorShapeMap.Iterator.second() |
TensorShape |
VarToShapeMap.Iterator.second() |
TensorShape |
VarToShapeMap.Iterator.second() |
TensorShape |
IntTensorShapeMap.Iterator.second() |
TensorShape |
DataTypeTensorShapePair.second() |
TensorShape |
IntDataTypeTensorShapePairMap.second(int i) |
TensorShape |
IntDataTypeTensorShapePairMap.second(int i) |
TensorShape |
CollInstanceParams.shape() |
TensorShape |
Tensor.shape()
Returns the shape of the tensor.
|
TensorShape |
TensorSliceSet.shape() |
TensorShape |
TensorSliceSet.shape() |
TensorShape |
Tensor.shape()
Returns the shape of the tensor.
|
TensorShape |
CollInstanceParams.shape() |
Modifier and Type | Method and Description |
---|---|
Status |
OpOutputList._allocate(int i,
TensorShape shape,
PointerPointer output) |
Status |
OpOutputList._allocate(int i,
TensorShape shape,
PointerPointer output) |
Status |
OpOutputList._allocate(int i,
TensorShape shape,
Tensor output) |
Status |
OpOutputList._allocate(int i,
TensorShape shape,
Tensor output) |
Status |
BundleWriter.AddSlice(BytePointer full_tensor_key,
TensorShape full_tensor_shape,
TensorSlice slice_spec,
Tensor slice_tensor) |
Status |
BundleWriter.AddSlice(BytePointer full_tensor_key,
TensorShape full_tensor_shape,
TensorSlice slice_spec,
Tensor slice_tensor) |
Status |
BundleWriter.AddSlice(String full_tensor_key,
TensorShape full_tensor_shape,
TensorSlice slice_spec,
Tensor slice_tensor) |
Status |
BundleWriter.AddSlice(String full_tensor_key,
TensorShape full_tensor_shape,
TensorSlice slice_spec,
Tensor slice_tensor) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
PointerPointer tensor) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
PointerPointer tensor) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
PointerPointer tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
PointerPointer tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(BytePointer name,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
PointerPointer tensor) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
PointerPointer tensor) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
PointerPointer tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
PointerPointer tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(int index,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(String name,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(String name,
TensorShape shape,
Tensor tensor) |
Status |
OpKernelContext.allocate_output(String name,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_output(String name,
TensorShape shape,
Tensor tensor,
AllocatorAttributes attr) |
Status |
OpKernelConstruction.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor) |
Status |
OpKernelConstruction.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
PointerPointer out_tensor,
AllocatorAttributes attr) |
Status |
OpKernelConstruction.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor) |
Status |
OpKernelConstruction.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor,
AllocatorAttributes attr) |
Status |
OpKernelContext.allocate_persistent(int type,
TensorShape shape,
PersistentTensor out_persistent,
Tensor out_tensor,
AllocatorAttributes attr) |
Status |
OpKernelConstruction.allocate_temp(int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelConstruction.allocate_temp(int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp,
AllocatorAttributes allocator_attr) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp,
AllocatorAttributes allocator_attr) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp,
AllocatorAttributes allocator_attr,
AllocationAttributes allocation_attr) |
Status |
OpKernelContext.allocate_temp(int type,
TensorShape shape,
Tensor out_temp,
AllocatorAttributes allocator_attr,
AllocationAttributes allocation_attr) |
boolean |
PartialTensorShape.AsTensorShape(TensorShape shape) |
boolean |
PartialTensorShape.AsTensorShape(TensorShape shape) |
Status |
Tensor.BitcastFrom(Tensor other,
int dtype,
TensorShape shape)
Copy the other tensor into this tensor, reshape it and reinterpret the
buffer's datatype.
|
Status |
Tensor.BitcastFrom(Tensor other,
int dtype,
TensorShape shape)
Copy the other tensor into this tensor, reshape it and reinterpret the
buffer's datatype.
|
boolean |
Tensor.CopyFrom(Tensor other,
TensorShape shape)
\brief Copy the other tensor into this tensor and reshape it.
|
boolean |
Tensor.CopyFrom(Tensor other,
TensorShape shape)
\brief Copy the other tensor into this tensor and reshape it.
|
static Tensor |
AbstractTensor.create(boolean[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(boolean[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(byte[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(byte[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(double[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(double[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(float[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(float[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(int[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(int[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(long[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(long[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(short[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(short[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(String[] data,
TensorShape shape) |
static Tensor |
AbstractTensor.create(String[] data,
TensorShape shape) |
static Status |
TensorHandle.CreateRemoteHandle(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
int dtype,
Device d,
Device resource_device,
EagerContext ctx,
PointerPointer h) |
static Status |
TensorHandle.CreateRemoteHandle(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
int dtype,
Device d,
Device resource_device,
EagerContext ctx,
PointerPointer h) |
static Status |
TensorHandle.CreateRemoteHandle(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
int dtype,
Device d,
Device resource_device,
EagerContext ctx,
TensorHandle h) |
static Status |
TensorHandle.CreateRemoteHandle(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
int dtype,
Device d,
Device resource_device,
EagerContext ctx,
TensorHandle h) |
static boolean |
TensorShapeUtils.EndsWith(TensorShape shape,
TensorShape suffix)
\brief Returns true iff
shape ends with suffix . |
static boolean |
TensorShapeUtils.EndsWith(TensorShape shape,
TensorShape suffix)
\brief Returns true iff
shape ends with suffix . |
boolean |
TensorShape.equals(TensorShape b) |
boolean |
TensorShape.equals(TensorShape b) |
Status |
OpKernelContext.forward_input_or_allocate_output(int[] candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(int[] candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntBuffer candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntBuffer candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(IntPointer candidate_input_indices,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
BytePointer output_name,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
BytePointer output_name,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
BytePointer output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
BytePointer output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
String output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_output(StringPieceVector candidate_input_names,
String output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(int[] candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntBuffer candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
TensorShape shape,
AllocatorAttributes allocator_attr,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_or_allocate_temp(IntPointer candidate_input_indices,
int type,
TensorShape shape,
Tensor out_temp) |
Status |
OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
TensorShape output_shape,
PointerPointer output) |
Status |
OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_to_output_with_shape(BytePointer input_name,
BytePointer output_name,
TensorShape output_shape,
Tensor output) |
boolean |
OpKernelContext.forward_input_to_output_with_shape(int input_index,
int output_index,
TensorShape output_shape,
PointerPointer output) |
boolean |
OpKernelContext.forward_input_to_output_with_shape(int input_index,
int output_index,
TensorShape output_shape,
PointerPointer output) |
boolean |
OpKernelContext.forward_input_to_output_with_shape(int input_index,
int output_index,
TensorShape output_shape,
Tensor output) |
boolean |
OpKernelContext.forward_input_to_output_with_shape(int input_index,
int output_index,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_to_output_with_shape(String input_name,
String output_name,
TensorShape output_shape,
Tensor output) |
Status |
OpKernelContext.forward_input_to_output_with_shape(String input_name,
String output_name,
TensorShape output_shape,
Tensor output) |
Tensor |
OpKernelContext.forward_input(int input_index,
int output_index,
int output_dtype,
TensorShape output_shape,
int output_memory_type,
AllocatorAttributes output_attr) |
Tensor |
OpKernelContext.forward_input(int input_index,
int output_index,
int output_dtype,
TensorShape output_shape,
int output_memory_type,
AllocatorAttributes output_attr) |
boolean |
TensorSliceReader.HasTensor(BytePointer name,
TensorShape shape,
IntPointer type) |
boolean |
TensorSliceReader.HasTensor(BytePointer name,
TensorShape shape,
IntPointer type) |
boolean |
TensorSliceReader.HasTensor(String name,
TensorShape shape,
IntPointer type) |
boolean |
TensorSliceReader.HasTensor(String name,
TensorShape shape,
IntPointer type) |
TensorShapeVector.Iterator |
TensorShapeVector.insert(TensorShapeVector.Iterator pos,
TensorShape value) |
TensorShapeVector.Iterator |
TensorShapeVector.insert(TensorShapeVector.Iterator pos,
TensorShape value) |
boolean |
OpKernel.IsLegacyScalar(TensorShape shape) |
boolean |
OpKernel.IsLegacyScalar(TensorShape shape) |
boolean |
OpKernel.IsLegacyVector(TensorShape shape) |
boolean |
OpKernel.IsLegacyVector(TensorShape shape) |
static boolean |
TensorShapeUtils.IsMatrix(TensorShape shape) |
static boolean |
TensorShapeUtils.IsMatrix(TensorShape shape) |
static boolean |
TensorShapeUtils.IsMatrixOrHigher(TensorShape shape) |
static boolean |
TensorShapeUtils.IsMatrixOrHigher(TensorShape shape) |
boolean |
TensorShape.IsSameSize(TensorShape b)
Returns true if
*this and b have the same sizes. |
boolean |
TensorShape.IsSameSize(TensorShape b)
Returns true if
*this and b have the same sizes. |
static boolean |
TensorShapeUtils.IsScalar(TensorShape shape) |
static boolean |
TensorShapeUtils.IsScalar(TensorShape shape) |
static boolean |
TensorShapeUtils.IsSquareMatrix(TensorShape shape) |
static boolean |
TensorShapeUtils.IsSquareMatrix(TensorShape shape) |
static boolean |
TensorShapeUtils.IsVector(TensorShape shape) |
static boolean |
TensorShapeUtils.IsVector(TensorShape shape) |
static boolean |
TensorShapeUtils.IsVectorOrHigher(TensorShape shape) |
static boolean |
TensorShapeUtils.IsVectorOrHigher(TensorShape shape) |
Status |
BundleReader.LookupDtypeAndShape(BytePointer key,
IntPointer dtype,
TensorShape shape) |
Status |
BundleReader.LookupDtypeAndShape(BytePointer key,
IntPointer dtype,
TensorShape shape) |
Status |
BundleReader.LookupDtypeAndShape(String key,
IntPointer dtype,
TensorShape shape) |
Status |
BundleReader.LookupDtypeAndShape(String key,
IntPointer dtype,
TensorShape shape) |
Status |
BundleReader.LookupTensorShape(BytePointer key,
TensorShape shape) |
Status |
BundleReader.LookupTensorShape(BytePointer key,
TensorShape shape) |
Status |
BundleReader.LookupTensorShape(String key,
TensorShape shape) |
Status |
BundleReader.LookupTensorShape(String key,
TensorShape shape) |
static Status |
TensorShapeUtils.MakeShape(int[] dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(int[] dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(int[] shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(int[] shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntBuffer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntBuffer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntBuffer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntBuffer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntPointer dims,
long n,
TensorShape out)
\brief Returns a
TensorShape whose dimensions are
dims[0] , dims[1] , ..., dims[n-1] . |
static Status |
TensorShapeUtils.MakeShape(IntPointer dims,
long n,
TensorShape out)
\brief Returns a
TensorShape whose dimensions are
dims[0] , dims[1] , ..., dims[n-1] . |
static Status |
TensorShapeUtils.MakeShape(IntPointer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(IntPointer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(long[] dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(long[] dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(long[] shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(long[] shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongBuffer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongBuffer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongBuffer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongBuffer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongPointer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongPointer dims,
long n,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongPointer shape,
TensorShape out) |
static Status |
TensorShapeUtils.MakeShape(LongPointer shape,
TensorShape out) |
Status |
OpKernel.MakeShape(Tensor shape,
TensorShape out) |
Status |
OpKernel.MakeShape(Tensor shape,
TensorShape out) |
Status |
InferenceContext.MakeShapeFromTensorShape(TensorShape shape,
ShapeHandle out) |
Status |
InferenceContext.MakeShapeFromTensorShape(TensorShape shape,
ShapeHandle out) |
static Tensor |
TensorCApi.MakeTensor(int type,
TensorShape shape,
TensorBuffer buf) |
static Tensor |
TensorCApi.MakeTensor(int type,
TensorShape shape,
TensorBuffer buf) |
boolean |
TensorShape.notEquals(TensorShape b) |
boolean |
TensorShape.notEquals(TensorShape b) |
TensorShapeVector |
TensorShapeVector.push_back(TensorShape value) |
TensorShapeVector |
TensorShapeVector.push_back(TensorShape value) |
VarToShapeMap |
VarToShapeMap.put(BytePointer i,
TensorShape value) |
VarToShapeMap |
VarToShapeMap.put(BytePointer i,
TensorShape value) |
DataTypeTensorShapePair |
DataTypeTensorShapePair.put(int firstValue,
TensorShape secondValue) |
IntTensorShapeMap |
IntTensorShapeMap.put(int i,
TensorShape value) |
IntTensorShapeMap |
IntTensorShapeMap.put(int i,
TensorShape value) |
DataTypeTensorShapePair |
DataTypeTensorShapePair.put(int firstValue,
TensorShape secondValue) |
TensorShapeVector |
TensorShapeVector.put(long i,
TensorShape value) |
TensorShapeVector |
TensorShapeVector.put(long i,
TensorShape value) |
TensorShapeVector |
TensorShapeVector.put(TensorShape... array) |
TensorShapeVector |
TensorShapeVector.put(TensorShape... array) |
TensorShapeVector |
TensorShapeVector.put(TensorShape value) |
TensorShapeVector |
TensorShapeVector.put(TensorShape value) |
IntDataTypeTensorShapePairMap |
IntDataTypeTensorShapePairMap.second(int i,
TensorShape second) |
IntDataTypeTensorShapePairMap |
IntDataTypeTensorShapePairMap.second(int i,
TensorShape second) |
DataTypeTensorShapePair |
DataTypeTensorShapePair.second(TensorShape second) |
DataTypeTensorShapePair |
DataTypeTensorShapePair.second(TensorShape second) |
Status |
TensorHandle.SetRemoteShape(TensorShape shape,
Device d) |
Status |
TensorHandle.SetRemoteShape(TensorShape shape,
Device d) |
CollInstanceParams |
CollInstanceParams.shape(TensorShape setter) |
CollInstanceParams |
CollInstanceParams.shape(TensorShape setter) |
Status |
AsyncLocalTensorHandleData.Shape(TensorShape shape) |
Status |
LocalTensorHandleData.Shape(TensorShape shape) |
Status |
RemoteTensorHandleData.Shape(TensorShape shape) |
Status |
TensorHandle.Shape(TensorShape shape) |
Status |
TensorHandleData.Shape(TensorShape shape) |
Status |
UnshapedRemoteTensorHandleData.Shape(TensorShape shape) |
Status |
UnshapedRemoteTensorHandleData.Shape(TensorShape shape) |
Status |
TensorHandleData.Shape(TensorShape shape) |
Status |
TensorHandle.Shape(TensorShape shape) |
Status |
RemoteTensorHandleData.Shape(TensorShape shape) |
Status |
LocalTensorHandleData.Shape(TensorShape shape) |
Status |
AsyncLocalTensorHandleData.Shape(TensorShape shape) |
Status |
TensorSlice.SliceTensorShape(TensorShape shape,
TensorShape result_shape) |
Status |
TensorSlice.SliceTensorShape(TensorShape shape,
TensorShape result_shape) |
static boolean |
TensorShapeUtils.StartsWith(TensorShape shape,
TensorShape prefix)
\brief Returns true iff
shape starts with prefix . |
static boolean |
TensorShapeUtils.StartsWith(TensorShape shape,
TensorShape prefix)
\brief Returns true iff
shape starts with prefix . |
void |
Tensor.UnsafeCopyFromInternal(Tensor other,
int dtype,
TensorShape shape)
Like BitcastFrom, but CHECK fails if any preconditions are not met.
|
void |
Tensor.UnsafeCopyFromInternal(Tensor other,
int dtype,
TensorShape shape)
Like BitcastFrom, but CHECK fails if any preconditions are not met.
|
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(BytePointer attr_name,
TensorShape value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(BytePointer attr_name,
TensorShape value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(String attr_name,
TensorShape value) |
GraphDefBuilder.Options |
GraphDefBuilder.Options.WithAttr(String attr_name,
TensorShape value) |
Constructor and Description |
---|
DataTypeTensorShapePair(int firstValue,
TensorShape secondValue) |
DataTypeTensorShapePair(int firstValue,
TensorShape secondValue) |
RemoteTensorHandleData(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
EagerContext ctx) |
RemoteTensorHandleData(long op_id,
int output_num,
TensorShape shape,
EagerClient eager_client,
long context_id,
EagerContext ctx) |
Tensor(Allocator a,
int type,
TensorShape shape)
\brief Creates a tensor with the input
type and shape , using
the allocator a to allocate the underlying buffer. |
Tensor(Allocator a,
int type,
TensorShape shape)
\brief Creates a tensor with the input
type and shape , using
the allocator a to allocate the underlying buffer. |
Tensor(Allocator a,
int type,
TensorShape shape,
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. |
Tensor(Allocator a,
int type,
TensorShape shape,
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. |
Tensor(int type,
TensorShape shape)
\brief Creates a Tensor of the given
type and shape . |
Tensor(int type,
TensorShape shape)
\brief Creates a Tensor of the given
type and shape . |
Tensor(int type,
TensorShape shape,
Pointer data) |
Tensor(int type,
TensorShape shape,
Pointer data) |
Tensor(int type,
TensorShape shape,
TensorBuffer buf)
\brief Creates a tensor with the input datatype, shape and buf.
|
Tensor(int type,
TensorShape shape,
TensorBuffer buf)
\brief Creates a tensor with the input datatype, shape and buf.
|
TensorShapeIter(TensorShape shape,
int d) |
TensorShapeIter(TensorShape shape,
int d) |
TensorShapeVector(TensorShape... array) |
TensorShapeVector(TensorShape... array) |
TensorShapeVector(TensorShape value) |
TensorShapeVector(TensorShape value) |
TensorSliceSet(TensorShape shape,
int type) |
TensorSliceSet(TensorShape shape,
int type) |
Modifier and Type | Method and Description |
---|---|
static Output |
tensorflow.Const(Scope scope,
boolean v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
boolean v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
BytePointer v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
BytePointer v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
byte v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
byte v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
double v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
double v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
float v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
float v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
int v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
int v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
long v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
long v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
short v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
short v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
String v,
TensorShape shape) |
static Output |
tensorflow.Const(Scope scope,
String v,
TensorShape shape) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorShape value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorShape value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
String attr_name,
TensorShape value) |
static Status |
tensorflow.GetNodeAttr(AttrSlice attrs,
String attr_name,
TensorShape value) |
static Status |
tensorflow.RegisterTensorSlice(BytePointer name,
TensorShape shape,
int type,
BytePointer tag,
TensorSlice slice,
StringTensorSliceSetMap tensor_slices) |
static Status |
tensorflow.RegisterTensorSlice(BytePointer name,
TensorShape shape,
int type,
BytePointer tag,
TensorSlice slice,
StringTensorSliceSetMap tensor_slices) |
static Status |
tensorflow.RegisterTensorSlice(String name,
TensorShape shape,
int type,
String tag,
TensorSlice slice,
StringTensorSliceSetMap tensor_slices) |
static Status |
tensorflow.RegisterTensorSlice(String name,
TensorShape shape,
int type,
String tag,
TensorSlice slice,
StringTensorSliceSetMap tensor_slices) |
static boolean |
tensorflow.TryGetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorShape value) |
static boolean |
tensorflow.TryGetNodeAttr(AttrSlice attrs,
BytePointer attr_name,
TensorShape value) |
static boolean |
tensorflow.TryGetNodeAttr(AttrSlice attrs,
String attr_name,
TensorShape value) |
static boolean |
tensorflow.TryGetNodeAttr(AttrSlice attrs,
String attr_name,
TensorShape value) |
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