23.11
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24 #ifndef ACL_ARM_COMPUTE_GRAPH_TYPEPRINTER_H
25 #define ACL_ARM_COMPUTE_GRAPH_TYPEPRINTER_H
66 os <<
"ActivationLayer";
69 os <<
"ArgMinMaxLayer";
72 os <<
"BatchNormalizationLayer";
75 os <<
"BoundingBoxTransformLayer";
78 os <<
"ChannelShuffleLayer";
81 os <<
"ConcatenateLayer";
84 os <<
"ConvolutionLayer";
87 os <<
"DeconvolutionLayer";
90 os <<
"DepthToSpaceLayer";
93 os <<
"DequantizationLayer";
96 os <<
"DetectionOutputLayer";
99 os <<
"DetectionPostProcessLayer";
102 os <<
"DepthwiseConvolutionLayer";
105 os <<
"EltwiseLayer";
108 os <<
"UnaryEltwiseLayer";
111 os <<
"FlattenLayer";
114 os <<
"FullyConnectedLayer";
117 os <<
"FusedConvolutionBatchNormalizationLayer";
120 os <<
"FusedDepthwiseConvolutionBatchNormalizationLayer";
123 os <<
"GenerateProposalsLayer";
126 os <<
"L2NormalizeLayer";
129 os <<
"NormalizationLayer";
132 os <<
"NormalizePlanarYUVLayer";
138 os <<
"PermuteLayer";
141 os <<
"PoolingLayer";
150 os <<
"PriorBoxLayer";
153 os <<
"QuantizationLayer";
156 os <<
"ReductionOperationLayer";
162 os <<
"ReshapeLayer";
168 os <<
"ROIAlignLayer";
171 os <<
"SoftmaxLayer";
183 os <<
"StridedSliceLayer";
186 os <<
"UpsampleLayer";
282 os <<
"Optimized3x3";
292 #endif // ACL_ARM_COMPUTE_GRAPH_TYPEPRINTER_H
@ Default
Default approach using internal heuristics.
@ Mul
Arithmetic multiplication.
@ CL
OpenCL capable target device.
@ Enabled
Fast math enabled for Convolution layer.
@ Direct
Deep direct convolution.
@ NormalizePlanarYUVLayer
@ NEON
Arm® Neon™ capable target device.
#define ARM_COMPUTE_ERROR(msg)
Print the given message then throw an std::runtime_error.
inline ::std::ostream & operator<<(::std::ostream &os, const Target &target)
Formatted output of the Target.
@ BoundingBoxTransformLayer
@ CLVK
CLVK capable target device.
@ FusedDepthwiseConvolutionBatchNormalizationLayer
@ Sub
Arithmetic subtraction.
@ Div
Arithmetic division.
@ UNSPECIFIED
Unspecified Target.
@ Disabled
Fast math disabled for Convolution layer.
@ DetectionPostProcessLayer
@ GEMM
GEMM based convolution.
FastMathHint
Enable or disable fast math for Convolution layer.
ConvolutionMethod
Supported Convolution layer methods.
@ Add
Arithmetic addition.
Copyright (c) 2017-2023 Arm Limited.
@ Optimized3x3
Optimized 3x3 direct depthwise convolution.
@ FusedConvolutionBatchNormalizationLayer
DepthwiseConvolutionMethod
Supported Depthwise Convolution layer methods.
@ Default
Default approach using internal heuristics.
EltwiseOperation
Supported Element-wise operations.
@ Winograd
Winograd based convolution.
@ BatchNormalizationLayer
@ DepthwiseConvolutionLayer
@ ReductionOperationLayer