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Functions13,148 in github.com/ARM-software/ComputeLibrary

↓ 8 callersMethodrelease
include/CL/opencl.hpp:2146
↓ 8 callersMethodretain_internal_weights
arm_compute/core/Types.h:1734
↓ 8 callersMethodrun_op
src/cpu/kernels/CpuSubKernel.cpp:211
↓ 8 callersMethodset_accumulate
Set accumulate flag * * @param[in] accumulate sets whether or not to use accumulation */
arm_compute/function_info/GEMMInfo.h:344
↓ 8 callersMethodset_fast_math
Set fast math flag * * @param[in] fast_math Flag to set */
arm_compute/function_info/GEMMInfo.h:254
↓ 8 callersMethodstart
Return the start of the valid region for the given dimension @p d */
arm_compute/core/Types.h:191
↓ 8 callersFunctionstbi__clamp
take a -128..127 value and stbi__clamp it and convert to 0..255
include/stb/stb_image.h:2416
↓ 8 callersFunctionstbi__convert_format
include/stb/stb_image.h:1755
↓ 8 callersFunctionstbi__mad3sizes_valid
returns 1 if "a*b*c + add" has no negative terms/factors and doesn't overflow
include/stb/stb_image.h:1031
↓ 8 callersFunctionswap
tests/SimpleTensor.h:455
↓ 8 callersMethodtake
src/runtime/CL/mlgo/MLGOParser.cpp:117
↓ 8 callersFunctiontanh
Hyperbolic tangent. \param arg function argument \return hyperbolic tangent value of \a arg template<typename T> typename enable<expr,T>::type tanh(T
include/half/half.hpp:2478
↓ 8 callersMethodtune_kernel_static
src/runtime/CL/CLTuner.cpp:94
↓ 8 callersFunctionupdate_padding_for_cl_image
src/gpu/cl/kernels/gemm/ClGemmHelpers.cpp:100
↓ 8 callersMethodvalidate
src/core/CL/kernels/CLTileKernel.cpp:144
↓ 8 callersFunctionvalidate_internal_context
Check if an internal context is valid * * @param[in] ctx Internal context to check * * @return A status code */
src/common/IContext.h:140
↓ 8 callersFunctionvld1q_u32_x2_
src/cpu/kernels/CpuTransposeKernel.cpp:377
↓ 8 callersFunctionvmaxq_f16
scripts/clang-tidy.h:170
↓ 8 callersMethodxmax
src/core/NEON/kernels/arm_gemm/gemm_interleaved.hpp:506
↓ 7 callersMethodPrepareB
src/core/NEON/kernels/arm_gemm/std_transforms_sme.hpp:68
↓ 7 callersFunctionTransform
src/core/NEON/kernels/arm_gemm/transform.cpp:116
↓ 7 callersMethodare_all_finalized
src/runtime/ISimpleLifetimeManager.cpp:133
↓ 7 callersMethodbbox_xform_clip
arm_compute/core/Types.h:1492
↓ 7 callersMethodbegin
tests/datasets/SliceOperationsDataset.h:81
↓ 7 callersFunctionbool_val
src/runtime/CL/mlgo/MLGOParser.cpp:293
↓ 7 callersFunctionbuiltin_isinf
include/half/half.hpp:404
↓ 7 callersFunctioncalculate_max
src/cpu/kernels/reduction_layer/generic/neon/impl.h:148
↓ 7 callersFunctioncalculate_min
src/cpu/kernels/reduction_layer/generic/neon/impl.h:124
↓ 7 callersFunctioncalculate_squashed_or_max_window
src/core/helpers/WindowHelpers.cpp:256
↓ 7 callersFunctionclBuildProgram
src/core/CL/OpenCL.cpp:440
↓ 7 callersFunctioncompute_im2col_conv_shape
Calculate the im2col output shape of a tensor * * @param[in] input Input tensor info * @param[in] kernel_dims The kernel dimensio
arm_compute/core/utils/misc/ShapeCalculator.h:589
↓ 7 callersFunctioncompute_requantization_scale_offset
Compute the requantization offset and scale * * @deprecated because reequantization using integer offsets creates rounding issues. * Please use @re
arm_compute/core/QuantizationInfo.h:691
↓ 7 callersMethodconfigure
src/gpu/cl/operators/ClFullyConnected.cpp:330
↓ 7 callersMethodconfigure_only
tests/framework/Framework.cpp:762
↓ 7 callersFunctionconstruct_slice_end_mask
src/core/utils/helpers/tensor_transform.cpp:190
↓ 7 callersFunctiondft_1d_core
tests/validation/reference/DFT.cpp:211
↓ 7 callersFunctionelement_size_from_data_type
The size in bytes of the data type * * @param[in] dt Input data type * * @return The size in bytes of the data type */
arm_compute/core/utils/DataTypeUtils.h:111
↓ 7 callersMethodepsilon
src/graph/nodes/L2NormalizeLayerNode.cpp:77
↓ 7 callersMethoderr
! \brief Get error code associated with exception * * \return The error code. */
include/CL/opencl.hpp:787
↓ 7 callersMethoderror_description
Gets error description if any * * @return Error description. */
arm_compute/core/Error.h:96
↓ 7 callersMethodexecute
src/core/NEON/kernels/convolution/common/padding.cpp:99
↓ 7 callersFunctionexpect_text
src/runtime/CL/mlgo/MLGOParser.cpp:368
↓ 7 callersFunctionfill_tensor
tests/validation/NEON/GenerateProposalsLayer.cpp:53
↓ 7 callersFunctionfill_tensor
tests/validation/CL/GenerateProposalsLayer.cpp:52
↓ 7 callersFunctionfrexp
Decompress floating point number. \param arg number to decompress \param exp address to store exponent at \return significant in range [0.5, 1) templa
include/half/half.hpp:2618
↓ 7 callersFunctiongemm
tests/validation/reference/GEMM.cpp:40
↓ 7 callersMethodget_output_rows
src/core/NEON/kernels/arm_conv/depthwise/depthwise_depthfirst.hpp:68
↓ 7 callersMethodget_position
src/cpu/kernels/assembly/arm_gemm/ndrange.hpp:176
↓ 7 callersFunctionget_softmax_output_quantization_info
src/core/Utils.cpp:421
↓ 7 callersFunctionget_storage_size_generic
src/core/NEON/kernels/arm_conv/depthwise/interleaves/generic.cpp:45
↓ 7 callersMethodhas_sme_f16f32
src/core/CPP/CPPTypes.cpp:129
↓ 7 callersFunctionldexp
Multiply by power of two. \param arg number to modify \param exp power of two to multiply with \return \a arg multplied by 2 raised to \a exp template
include/half/half.hpp:2626
↓ 7 callersFunctionmap_to_arm_gemm_activation
src/core/utils/AssemblyUtils.cpp:32
↓ 7 callersMethodnew_fixture_call
tests/framework/Framework.cpp:767
↓ 7 callersFunctionpack_parameters
src/core/NEON/kernels/arm_conv/depthwise/interleaves/generic_quantized_dot_product.cpp:56
↓ 7 callersFunctionprefetch_3x
src/core/NEON/kernels/arm_gemm/asmlib.hpp:96
↓ 7 callersMethodpretranspose_B
Flag which specifies whether b should be pre-transposed if supported. * More concretely, the "pre-transpose" is the transposition of the b tensor
arm_compute/function_info/GEMMInfo.h:288
↓ 7 callersMethodquery_gemm_config_reshaped_only_rhs
src/runtime/CL/mlgo/MLGOHeuristics.cpp:96
↓ 7 callersMethodquery_gemm_type
src/runtime/CL/mlgo/MLGOHeuristics.cpp:59
↓ 7 callersFunctionreduce_sum_7
src/core/NEON/kernels/NEFFTRadixStageKernel.cpp:105
↓ 7 callersFunctionselect_default_gemm_config_reshaped_only_rhs
src/runtime/CL/gemm_auto_heuristics/CLGEMMAutoHeuristics.cpp:89
↓ 7 callersMethodset_gemmlowp_output_stage
Sets GEMMLowp output stage * * @param[in] output_stage Output stage to set */
arm_compute/function_info/GEMMInfo.h:230
↓ 7 callersMethodset_tuner_mode
src/runtime/CL/CLTuner.cpp:89
↓ 7 callersFunctionstbi__compute_y
include/stb/stb_image.h:1746
↓ 7 callersFunctionstbi__start_callbacks
initialize a callback-based context
include/stb/stb_image.h:836
↓ 7 callersFunctionstbi__start_mem
initialize a memory-decode context
include/stb/stb_image.h:826
↓ 7 callersFunctionstore_quantized
src/cpu/kernels/elementwise_binary/generic/neon/impl.h:587
↓ 7 callersFunctionstore_value_with_data_type
tests/Utils.h:256
↓ 7 callersMethodtest_stop
tests/framework/Profiler.cpp:81
↓ 7 callersMethodtype
Target type accessor * * @return Target that the context is associated with */
src/common/IContext.h:66
↓ 7 callersFunctionvalidate_image2d_support_on_rhs
src/gpu/cl/kernels/gemm/ClGemmHelpers.cpp:121
↓ 7 callersFunctionvalidate_internal_tensor
Check if an internal tensor is valid * * @param[in] tensor Internal tensor to check * * @return A status code */
src/common/ITensorV2.h:128
↓ 7 callersMethodwhat
tests/framework/Exceptions.cpp:127
↓ 6 callersFunctionARM_COMPUTE_PRINT_INFO
tests/framework/Asserts.h:63
↓ 6 callersFunctionAclCreateContext
src/c/AclContext.cpp:79
↓ 6 callersMethodaccumulate
Flag which specifies if GEMM should accumulate the result in destination or not. * * @return True if GEMM is accumulating the result. *
arm_compute/function_info/GEMMInfo.h:328
↓ 6 callersFunctionbase_test_case
tests/validation/NEON/DetectionPostProcessLayer.cpp:102
↓ 6 callersFunctioncalculate_quantized_multipliers
src/core/utils/quantization/AsymmHelpers.cpp:117
↓ 6 callersMethodcbegin
Returns a read-only (constant) iterator that points to the first element in the dimension array. * * @return an iterator. */
arm_compute/core/Dimensions.h:236
↓ 6 callersFunctioncheck_value_range
arm_compute/core/utils/DataTypeUtils.h:475
↓ 6 callersFunctionclCreateCommandQueue
src/core/CL/OpenCL.cpp:369
↓ 6 callersFunctionclGetPlatformIDs
src/core/CL/OpenCL.cpp:969
↓ 6 callersFunctionclSetKernelExecInfo
src/core/CL/OpenCL.cpp:1079
↓ 6 callersFunctioncompute_gather_shape
Calculate the gather output shape of a tensor * * @param[in] input_shape Input tensor shape * @param[in] indices_shape Indices tensor shape. Only
arm_compute/core/utils/misc/ShapeCalculator.h:1707
↓ 6 callersFunctioncompute_pool3d_shape
Calculate the output pool3d shape of a tensor * * @param[in] src Input tensor info * @param[in] pool3d_info Pooling layer info * * @retur
arm_compute/core/utils/misc/ShapeCalculator.h:1666
↓ 6 callersFunctioncompute_reductionA_shape
Calculate the reductionA shape used in GEMMLowp * * @param[in] b Input tensor info * * @return the calculated shape */
arm_compute/core/utils/misc/ShapeCalculator.h:354
↓ 6 callersFunctioncompute_reductionB_shape
Calculate the reductionB shape used in GEMMLowp * * @param[in] a Input tensor info * * @return the calculated shape */
arm_compute/core/utils/misc/ShapeCalculator.h:371
↓ 6 callersFunctioncompute_stack_shape
Calculate the stack output shape of a tensor * * @param[in] a Input tensor info * @param[in] axis Axis on which to perform the sta
arm_compute/core/utils/misc/ShapeCalculator.h:1547
↓ 6 callersFunctioncompute_weights_reshaped_shape
Calculate the reshaped shape of the weights * * @param[in] weights Weights tensor info * @param[in] has_bias (Optional) Set to true if there i
arm_compute/core/utils/misc/ShapeCalculator.h:166
↓ 6 callersFunctioncompute_winograd_convolution_tiles
Calculate the number of output tiles required by Winograd Convolution layer. This utility function can be used by the Winograd input transform * to
arm_compute/core/Helpers.h:254
↓ 6 callersFunctioncompute_winograd_filter_transform_shape
Calculate the winograd filter transform shape * * @param[in] input Input tensor info * @param[in] winograd_info Winograd information * *
arm_compute/core/utils/misc/ShapeCalculator.h:692
↓ 6 callersFunctioncompute_winograd_input_transform_shape
Calculate the winograd input transform shape * * @param[in] input Input tensor info * @param[in] winograd_info Winograd information * * @
arm_compute/core/utils/misc/ShapeCalculator.h:717
↓ 6 callersFunctioncompute_winograd_output_transform_shape
Calculate the winograd output transform shape * * @param[in] input Input tensor info * @param[in] winograd_info Winograd information * *
arm_compute/core/utils/misc/ShapeCalculator.h:752
↓ 6 callersFunctionconvert_to_legacy_tensor_info
src/common/utils/LegacySupport.cpp:92
↓ 6 callersMethodconvolution_method
src/graph/nodes/ConvolutionLayerNode.cpp:56
↓ 6 callersFunctioncos
Cosine function. \param arg function argument \return cosine value of \a arg template<typename T> typename enable<expr,T>::type cos(T arg) { return fu
include/half/half.hpp:2415
↓ 6 callersFunctiondecompose_stages
src/core/utils/helpers/fft.cpp:34
↓ 6 callersMethoddepth_multiplier
src/graph/nodes/DepthwiseConvolutionLayerNode.cpp:49
↓ 6 callersMethodenqueueWriteBuffer
include/CL/opencl.hpp:7416
↓ 6 callersMethodfast_math_hint
src/graph/nodes/FullyConnectedLayer.cpp:50
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