24 #ifndef __ARM_COMPUTE_GRAPH_STREAM_TYPES_H__ 25 #define __ARM_COMPUTE_GRAPH_STREAM_TYPES_H__ 38 using graph::TensorShape;
40 using graph::ActivationLayerInfo;
41 using graph::NormalizationLayerInfo;
43 using graph::PadStrideInfo;
44 using graph::PoolingLayerInfo;
50 using graph::TensorDescriptor;
52 using graph::GraphConfig;
Concatenate across depth.
Fast math disabled for Convolution layer.
DimensionRoundingType
Dimension rounding type when down-scaling on CNNs.
Default approach using internal heuristics.
Hints that can be passed to the stream to expose parameterization.
This file contains all available output stages for GEMMLowp on OpenCL.
DepthwiseConvolutionMethod
Supported Depthwise Convolution layer methods.
FastMathHint
Enable or disable fast math for Convolution layer.
BranchMergeMethod
Branch layer merging method.
PoolingType
Available pooling types.
ConvolutionMethod
Supported Convolution layer methods.
Adds the results of each stream.
DataType
Available data types.
DataLayout
Supported tensor data layouts.
NormType
The normalization type used for the normalization layer.