Store the tensor's metadata */

Class for specifying the size of an image or rectangle */

Accessor implementation for @ref Tensor objects. */

Accessor implementation for @ref CLTensor objects. */

Activation Layer */

Convolution Layer */

Winograd information */

Data set containing small tensor shapes. */

Batchnormalization Layer */

Class to describe a number of elements in each dimension. Similar to @ref * Strides but not in bytes but number of elements. */

Pooling Layer Information struct*/

Class for specifying the size of a 3D shape or object */

Data set containing large tensor shapes. */

Class describing the value of a pixel for any image format. */

Temporary half-precision expression. This class represents a half-precision expression which just stores a single-precision value internally.

Padding information for 3D operations like Conv3d */

Pooling Layer */

GEMM information class. This class stores the necessary information to compute GEMM functions * * This object also contains the information about ho

Data set containing small 4D tensor shapes. */

Convolution Layer Weights Information class. This class stores the necessary information to compute convolution layer when the weights are already res

Concat Layer */

ROI Pooling Layer Information class */

Data set containing small 3D tensor shapes. */

Tensor Descriptor class * * Structure that contains all the required meta-data to represent a tensor */

Pooling Layer Information struct*/

Forward declarations

Data set containing small 2D tensor shapes. */

GEMM LHS (Left Hand Side) matrix information */

GEMM RHS (Right Hand Side) matrix information */

Detection Output layer info */

Output Layer */

Data set containing tiny 4D tensor shapes. */

Input Layer */

Generic measurement that stores values as either double or long long int. */

Container for 2D border size */

Data set containing large 3D tensor shapes. */

Bounding Box Transform information class */

Data set containing small tensor shapes with none of the dimensions equal to 1 (unit). */

Dataset containing small, generic depthwise convolution shapes. */

Fully Connected Layer */

Memory group */

Data set containing small softmax layer shapes. */

Data set containing large 4D tensor shapes. */

Scatter operator information */

Data set containing pairs of small tensor shapes that are broadcast compatible. */

Dataset containing small, generic depthwise convolution shapes with dilation. */

GEMMLowp output stage info */

Normalization Layer Information class */

Dataset containing small, 3x3 depthwise convolution shapes. */

Dataset containing small, 3x3 depthwise convolution shapes with dilation. */

Dataset containing optimized, 3x3 depthwise convolution shapes. */

Descriptor used by the GEMM kernels */

Fully connected layer info */

Softmax Layer */

Quantization info when assuming per layer quantization */

ComputeAnchors information class */

Data set containing tensor shapes for ConcatenateLayer. */

Generate Proposals Information class */

This dataset is for data types that does not require full testing. It contains selected tests from the above.

Data set containing large softmax layer shapes. */

[PoolingTypes datasets] **/

Data set containing small tensor shapes for deconvolution. */

Dataset containing optimized, 5x5 depthwise convolution shapes. */

Data set containing tiny tensor shapes. */

128-bit vector tag */

Flatten Layer */

Dataset containing large, generic depthwise convolution shapes with dilation. */

Dataset containing large, 3x3 depthwise convolution shapes with dilation. */

Dataset containing optimized, 3x3 depthwise convolution shapes. */

PriorBox layer info */

Data set containing small tensor shapes to be used with the GEMM reshaping kernel */

Dataset containing large, 3x3 depthwise convolution shapes. */

Store the sub tensor's metadata */