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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
%{
#include "armnn/Tensor.hpp"
%}
%include <typemaps/tensor_memory.i>
%include <typemaps/tensor_shape.i>
namespace armnn
{
%feature("docstring",
"
Class for holding the shape information of an Arm NN tensor.
") TensorShape;
class TensorShape
{
public:
%tensor_shape_typemap(unsigned int numDimensions, const unsigned int* dimensionSizes);
TensorShape(unsigned int numDimensions, const unsigned int* dimensionSizes);
%clear_tensor_shape_typemap(unsigned int numDimensions, const unsigned int* dimensionSizes);
%feature("docstring",
"
Returns the number of dimensions in this TensorShape.
Returns:
int: The number of dimensions in this TensorShape.
") GetNumDimensions;
unsigned int GetNumDimensions() const;
%feature("docstring",
"
Returns the total number of elements for a tensor with this TensorShape.
Returns:
int: The total number of elements for a tensor with this TensorShape.
") GetNumElements;
unsigned int GetNumElements() const;
};
%extend TensorShape {
unsigned int __getitem__(unsigned int i) const {
return $self->operator[](i);
}
void __setitem__(unsigned int i, unsigned int val) {
$self->operator[](i) = val;
}
std::string __str__() {
std::string dim = "NumDimensions: " + std::to_string($self->GetNumDimensions());
std::string elm = "NumElements: " + std::to_string($self->GetNumElements());
std::string shapeStr = "TensorShape{Shape(";
auto numDimensions = $self->GetNumDimensions();
auto sizeDims = $self->GetNumDimensions();
for (unsigned int i = 0; i < numDimensions; i++) {
shapeStr += std::to_string($self->operator[](i));
if (sizeDims - 1 > 0) {
shapeStr += ", ";
}
sizeDims--;
}
shapeStr = shapeStr + "), " + dim + ", " + elm + "}";
return shapeStr;
}
}
%feature("docstring",
"
Class for holding the tensor information of an Arm NN tensor such as quantization, datatype, shape etc.
") TensorInfo;
class TensorInfo
{
public:
TensorInfo();
TensorInfo(const TensorInfo& other);
TensorInfo(const TensorShape& shape, DataType dataType,
float quantizationScale = 0.0f, int32_t quantizationOffset = 0);
%feature("docstring",
"
Get the tensor shape.
Return:
TensorShape: Current shape of the tensor.
") GetShape;
TensorShape& GetShape();
%feature("docstring",
"
Set the tensor shape. Must have the same number of elements as current tensor.
Args:
newShape (TensorShape): New tensor shape to reshape to.
") SetShape;
void SetShape(const TensorShape& newShape);
%feature("docstring",
"
Returns the number of dimensions in this Tensor.
Returns:
int: The number of dimensions in this Tensor.
") GetNumDimensions;
unsigned int GetNumDimensions() const;
%feature("docstring",
"
Returns the total number of elements for this Tensor.
Returns:
int: The total number of elements for this Tensor.
") GetNumElements;
unsigned int GetNumElements() const;
%feature("docstring",
"
Get the tensor datatype.
Returns:
DataType: Current tensor DataType.
") GetDataType;
DataType GetDataType() const;
%feature("docstring",
"
Set the tensor datatype.
Args:
type (DataType): DataType to set the tensor to.
") SetDataType;
void SetDataType(DataType type);
%feature("docstring",
"
Get the value of the tensors quantization scale.
Returns:
float: Tensor quantization scale value.
") GetQuantizationScale;
float GetQuantizationScale() const;
%feature("docstring",
"
Get the value of the tensors quantization offset.
Returns:
int: Tensor quantization offset value.
") GetQuantizationOffset;
int32_t GetQuantizationOffset() const;
%feature("docstring",
"
Set the value of the tensors quantization scale.
Args:
scale (float): Scale value to set.
") SetQuantizationScale;
void SetQuantizationScale(float scale);
%feature("docstring",
"
Set the value of the tensors quantization offset.
Args:
offset (int): Offset value to set.
") SetQuantizationOffset;
void SetQuantizationOffset(int32_t offset);
%feature("docstring",
"
Returns true if the tensor is a quantized data type.
Returns:
bool: True if the tensor is a quantized data type.
") IsQuantized;
bool IsQuantized() const;
%feature("docstring",
"
Check that the types are the same and, if quantize, that the quantization parameters are the same.
Returns:
bool: True if matched, else False.
") IsTypeSpaceMatch;
bool IsTypeSpaceMatch(const TensorInfo& other) const;
%feature("docstring",
"
Get the number of bytes needed for this tensor.
Returns:
int: Number of bytes consumed by this tensor.
") GetNumBytes;
unsigned int GetNumBytes() const;
};
%extend TensorInfo {
std::string __str__() {
const std::string tmp = "TensorInfo{DataType: " + std::to_string(static_cast<int>($self->GetDataType()))
+ ", IsQuantized: " + std::to_string($self->IsQuantized())
+ ", QuantizationScale: " + std::to_string( $self->GetQuantizationScale())
+ ", QuantizationOffset: " + std::to_string($self->GetQuantizationOffset())
+ ", NumDimensions: " + std::to_string($self->GetNumDimensions())
+ ", NumElements: " + std::to_string($self->GetNumElements()) + "}";
return tmp;
}
}
class Tensor
{
public:
~Tensor();
Tensor();
Tensor(const Tensor& other);
%mutable_memory(void* memory);
Tensor(const TensorInfo& info, void* memory);
%clear_mutable_memory(void* memory);
const TensorInfo& GetInfo() const;
const TensorShape& GetShape() const;
DataType GetDataType() const;
unsigned int GetNumDimensions() const;
unsigned int GetNumBytes() const;
unsigned int GetNumElements() const;
/* we want to disable getting the memory area from here - forcing use of get_memory_area() in public api.
void* GetMemoryArea() const;*/
};
%extend Tensor {
std::string __str__() {
const std::string tmp = "Tensor{DataType: " + std::to_string(static_cast<int>($self->GetDataType()))
+ ", NumBytes: " + std::to_string($self->GetNumBytes())
+ ", NumDimensions: " + std::to_string( $self->GetNumDimensions())
+ ", NumElements: " + std::to_string($self->GetNumElements()) + "}";
return tmp;
}
}
class ConstTensor
{
public:
~ConstTensor();
ConstTensor();
ConstTensor(const Tensor& other);
ConstTensor(const ConstTensor& other);
%const_memory(const void* memory);
ConstTensor(const TensorInfo& info, const void* memory);
%clear_const_memory(const void* memory);
const TensorInfo& GetInfo() const;
const TensorShape& GetShape() const;
DataType GetDataType() const;
unsigned int GetNumDimensions() const;
unsigned int GetNumBytes() const;
unsigned int GetNumElements() const;
/* we want to disable getting the memory area from here - forcing use of get_memory_area() in public api.
void* GetMemoryArea() const;*/
};
%extend ConstTensor {
std::string __str__() {
const std::string tmp = "ConstTensor{DataType: " + std::to_string(static_cast<int>($self->GetDataType()))
+ ", NumBytes: " + std::to_string($self->GetNumBytes())
+ ", NumDimensions: " + std::to_string( $self->GetNumDimensions())
+ ", NumElements: " + std::to_string($self->GetNumElements()) + "}";
return tmp;
}
}
}
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