17 #define ARMNN_SCOPED_PROFILING_EVENT_NEON(name) \
18 ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuAcc, \
19 armnn::EmptyOptional(), \
22 armnn::WallClockTimer())
24 #define ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID(name, guid) \
25 ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::CpuAcc, \
29 armnn::WallClockTimer())
31 using namespace armnn::armcomputetensorutils;
38 switch (convolutionMethod)
40 case arm_compute::ConvolutionMethod::FFT:
42 case arm_compute::ConvolutionMethod::DIRECT:
44 case arm_compute::ConvolutionMethod::GEMM:
46 case arm_compute::ConvolutionMethod::WINOGRAD:
56 InitialiseArmComputeTensorEmpty(dstTensor);
57 CopyArmComputeITensorData(srcData, dstTensor);
92 throw Exception(
"Unexpected tensor type during InitializeArmComputeTensorData().");
127 throw Exception(
"Unexpected tensor type during InitializeArmComputeTensorData().");
132 const std::vector<int>& m_end,
133 const std::vector<int>& m_stride)
139 unsigned int num_dims =
static_cast<unsigned int>(m_begin.size());
141 for (
unsigned int i = 0; i < num_dims; i++)
143 unsigned int revertedIndex = num_dims - i - 1;
145 starts.set(i,
static_cast<int>(m_begin[revertedIndex]));
146 ends.set(i,
static_cast<int>(m_end[revertedIndex]));
147 strides.set(i,
static_cast<int>(m_stride[revertedIndex]));
150 return std::make_tuple(starts, ends, strides);
154 const std::vector<unsigned int>& m_size)
161 unsigned int num_dims =
static_cast<unsigned int>(m_begin.size());
166 for (
unsigned int i = 0; i < num_dims; i++)
168 unsigned int revertedIndex = num_dims - i - 1;
170 starts.set(i,
static_cast<int>(m_begin[revertedIndex]));
171 ends.set(i,
static_cast<int>(m_begin[revertedIndex] + m_size[revertedIndex]));
174 return std::make_tuple(starts, ends);
177 template <
typename DataType,
typename PayloadType>
180 ITensorHandle* tensorHandle = data.m_Outputs[idx];
181 return reinterpret_cast<DataType*
>(tensorHandle->Map());