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Functions18,290 in github.com/PaddlePaddle/Paddle-Lite

⨍ Functions 18,290◇ Types & classes 3,616
↓ 3 callersMethodenqueueMapSVM
third-party/opencl/include/CL/cl2.hpp:7586
↓ 3 callersMethodenqueueReadBuffer
third-party/opencl/include/CL/cl.hpp:5695
↓ 3 callersMethodenqueueUnmapMemObject
third-party/opencl/include/CL/cl.hpp:6215
↓ 3 callersMethodenqueueUnmapSVM
third-party/opencl/include/CL/cl2.hpp:7691
↓ 3 callersMethodenqueueWriteBuffer
third-party/opencl/include/CL/cl.hpp:5720
↓ 3 callersMethodenqueueWriteImage
third-party/opencl/include/CL/cl.hpp:5948
↓ 3 callersFunctionfast_free
lite/tests/kernels/prior_box_compute_test.cc:41
↓ 3 callersFunctionfast_malloc
lite/tests/kernels/prior_box_compute_test.cc:26
↓ 3 callersFunctionfill_bias_act<float>
lite/backends/arm/math/fill_bias_relu.cc:286
↓ 3 callersFunctionfill_bias_act_fp16<float16_t>
lite/backends/arm/math/fp16/fill_bias_act_fp16.cc:242
↓ 3 callersFunctionflatten_2d
lite/operators/mul_grad_op.h:48
↓ 3 callersFunctionfor
lite/backends/nnadapter/nnadapter/src/operation/meshgrid.cc:33
↓ 3 callersFunctiongemm_prepack_c8_fp16_small
lite/backends/arm/math/fp16/gemm_c8_fp16.cc:827
↓ 3 callersFunctiongenerate_input
(*args, **kwargs)
lite/tests/unittest_py/op/common/test_sequence_concat_op_base.py:29
↓ 3 callersMethodgetDevices
! \brief Gets a list of devices for this platform. * * Wraps clGetDeviceIDs(). */
third-party/opencl/include/CL/cl.hpp:2230
↓ 3 callersFunctiongetInfoHelper
third-party/opencl/include/CL/cl2.hpp:925
↓ 3 callersFunctiongetInfoHelper
third-party/opencl/include/CL/cl.hpp:1136
↓ 3 callersFunctionget_date_str
lite/core/profile/precision_profiler.h:51
↓ 3 callersMethodget_depth
lite/backends/x86/math/tree2col.h:59
↓ 3 callersFunctionget_entry_index
lite/tests/kernels/yolo_box_compute_test.cc:51
↓ 3 callersFunctionget_hblock_sve
lite/backends/arm/math/sve/gemm_sve.h:33
↓ 3 callersFunctionget_model_list
get the model list from config.ini
tools/ci_tools/ci_model_unit_test.py:17
↓ 3 callersFunctionget_new_data_from_tensor
lite/kernels/xpu/strided_slice_compute.cc:181
↓ 3 callersFunctionget_new_data_from_tensor
lite/kernels/host/strided_slice_compute.cc:176
↓ 3 callersFunctionget_new_data_from_tensorlist
lite/kernels/xpu/strided_slice_compute.cc:170
↓ 3 callersFunctionget_new_data_from_tensorlist
lite/kernels/host/strided_slice_compute.cc:164
↓ 3 callersFunctionget_new_shape
lite/backends/arm/math/interpolate.h:26
↓ 3 callersFunctionget_tensor_buffer_length
lite/backends/nnadapter/nnadapter/src/driver/fake_device/fake_ddk/src/utility.cc:78
↓ 3 callersFunctiongettimeofday
lite/backends/arm/arm_dnn_library/src/utilities/logging.h:31
↓ 3 callersFunctiongnerate_inputs
(with_tensor)
lite/tests/unittest_py/op/common/test_expand_op_base.py:60
↓ 3 callersFunctiongpc_next_index
lite/backends/host/math/gpc.h:130
↓ 3 callersFunctiongpc_prev_index
lite/backends/host/math/gpc.h:126
↓ 3 callersMethodhas_a53_valid
lite/core/context.h:318
↓ 3 callersMethodhas_fp16
lite/core/device_info.h:151
↓ 3 callersFunctionieee_compliance_0
lite/backends/xpu/math.h:40
↓ 3 callersFunctionimage_convert_basic
lite/tests/cv/cv_basic.h:332
↓ 3 callersMethodimage_to_tensor
lite/utils/cv/paddle_image_preprocess.cc:144
↓ 3 callersFunctionincrement
lite/kernels/host/increment_compute.cc:23
↓ 3 callersFunctioninfer_shape
lite/kernels/arm/concat_compute_test.cc:31
↓ 3 callersFunctionis_broadcast
lite/kernels/arm/elementwise_grad_compute.cc:43
↓ 3 callersFunctionisnan
lite/utils/float16.h:356
↓ 3 callersFunctionkey
third-party/flatbuffers/pre-build/flatbuffers/reflection_generated.h:192
↓ 3 callersFunctionload_file
Load file help function
lite/tools/debug/analysis_tool.py:99
↓ 3 callersFunctionloadb
lite/backends/arm/math/fp16/gemm_fp16.cc:888
↓ 3 callersFunctionloadb_trans
lite/backends/arm/math/fp16/gemm_fp16.cc:1013
↓ 3 callersFunctionmax_test
lite/kernels/opencl/max_image_compute_test.cc:95
↓ 3 callersMethodmode
lite/core/device_info.h:83
↓ 3 callersFunctionnaive_transpose
lite/kernels/arm/fc_compute.cc:34
↓ 3 callersMethodoperator[]
lite/model_parser/flatbuffers/vector_view.h:108
↓ 3 callersFunctionops
third-party/flatbuffers/pre-build/framework_generated.h:1895
↓ 3 callersFunctionpackb_dot_int8
lite/backends/arm/math/gemm_prepacked_int8.cc:7675
↓ 3 callersFunctionpackb_int8
/ for armv8 prepack B according to gemm kernel B block size: (<4x2>x4) x2, can be described as below: origin B data: B_origin(no trans, k x n): r0: ==
lite/backends/arm/math/gemm_prepacked_int8.cc:5277
↓ 3 callersFunctionpackb_sdot_int8_n12_n8_n4
lite/backends/arm/math/gemm_prepacked_int8.cc:6629
↓ 3 callersFunctionpad_constant_fp16
lite/backends/arm/math/fp16/pad2d_fp16.cc:28
↓ 3 callersFunctionpair
third-party/flatbuffers/pre-build/framework_generated.h:2090
↓ 3 callersFunctionparams
third-party/flatbuffers/pre-build/param_generated.h:193
↓ 3 callersMethodparent
lite/model_parser/ssa/block_desc.h:54
↓ 3 callersFunctionprepackA_int8_sve
lite/backends/arm/math/sve/gemm_sve_i8mm.cc:734
↓ 3 callersFunctionprepack_input_nxw
lite/backends/arm/math/fp16/conv_block_utils_fp16.h:50
↓ 3 callersMethodprepare_kernel
lite/tests/kernels/activation_grad_compute_test.cc:33
↓ 3 callersFunctionprint_data_fp16
lite/tests/utils/print_info.h:88
↓ 3 callersFunctionprint_ff
lite/tests/cv/image_convert_test.cc:80
↓ 3 callersFunctionprint_fp32
lite/tests/cv/image_profiler_test.cc:89
↓ 3 callersMethodrbegin
third-party/flatbuffers/pre-build/flatbuffers/flatbuffers.h:456
↓ 3 callersFunctionreduce_all_c
lite/tests/kernels/reduce_all_compute_test.cc:47
↓ 3 callersFunctionreduce_all_h
lite/tests/kernels/reduce_all_compute_test.cc:71
↓ 3 callersFunctionreduce_any_c
lite/tests/kernels/reduce_any_compute_test.cc:47
↓ 3 callersFunctionreduce_any_h
lite/tests/kernels/reduce_any_compute_test.cc:71
↓ 3 callersFunctionreduce_c
lite/tests/kernels/reduce_max_compute_test.cc:47
↓ 3 callersFunctionreduce_h
lite/tests/kernels/reduce_max_compute_test.cc:72
↓ 3 callersFunctionreduce_mean_c
lite/tests/kernels/reduce_mean_compute_test.cc:46
↓ 3 callersFunctionreduce_mean_h
lite/tests/kernels/reduce_mean_compute_test.cc:70
↓ 3 callersFunctionreduce_min_c
lite/tests/kernels/reduce_min_compute_test.cc:47
↓ 3 callersFunctionreduce_min_h
lite/tests/kernels/reduce_min_compute_test.cc:72
↓ 3 callersFunctionreduce_prod_c
lite/tests/kernels/reduce_prod_compute_test.cc:46
↓ 3 callersFunctionreduce_prod_h
lite/tests/kernels/reduce_prod_compute_test.cc:70
↓ 3 callersFunctionreduce_sum_c
lite/tests/kernels/reduce_sum_compute_test.cc:46
↓ 3 callersFunctionreduce_sum_h
lite/tests/kernels/reduce_sum_compute_test.cc:70
↓ 3 callersMethodreset
third-party/flatbuffers/pre-build/flatbuffers/flatbuffers.h:777
↓ 3 callersFunctionright_mask_5x5s1p2_fp32
lite/backends/arm/math/conv5x5s1_depthwise_fp32.cc:788
↓ 3 callersFunctionright_mask_5x5s2p2_fp32
lite/backends/arm/math/conv5x5s2_depthwise_fp32.cc:988
↓ 3 callersMethodroot_var_desc
lite/model_parser/ssa/var_desc.h:67
↓ 3 callersFunctionrunLSTMLayer
lite/kernels/xpu/rnn_compute.cc:58
↓ 3 callersMethodrun_autotune
lite/backends/xpu/xpu_l3_strategy.h:58
↓ 3 callersMethodrun_forward
lite/tests/kernels/mul_grad_compute_test.cc:56
↓ 3 callersMethodselected_devices
lite/backends/nnadapter/nnadapter/src/driver/android_nnapi/engine.h:39
↓ 3 callersMethodset_auto_tune
lite/backends/opencl/cl_runtime.cc:850
↓ 3 callersMethodset_height
lite/backends/x86/fluid/selected_rows.h:69
↓ 3 callersMethodset_id
lite/core/optimizer/mir/node.h:169
↓ 3 callersMethodset_model_from_buffer
lite/api/paddle_api.cc:815
↓ 3 callersMethodset_name
lite/core/optimizer/mir/pass.h:46
↓ 3 callersMethodset_nnadapter_model_cache_dir
(self, nnadapter_model_cache_dir)
lite/tests/unittest_py/program_config.py:387
↓ 3 callersMethodset_version
lite/core/program.h:290
↓ 3 callersFunctionslice
lite/backends/nnadapter/nnadapter/include/nnadapter/operation/math/slice.h:25
↓ 3 callersMethodspace
lite/core/memory.h:103
↓ 3 callersFunctionsparse_semi_conv_fp16_pipelined
* \brief Semi-structured Sparse calculation implementation of 1x1 convolution, * both input and output are f16. * Semi-structured Sparse matrix mult
lite/backends/arm/math/fp16/sparse_semi_conv_fp16.cc:1445
↓ 3 callersFunctionsparse_semi_conv_fp32_pipelined
* \brief Semi-structured Sparse calculation implementation of 1x1 convolution, * both input and output are f32. * Semi-structured Sparse matrix mult
lite/backends/arm/math/sparse_semi_conv_impl.cc:1939
↓ 3 callersFunctionsparse_semi_conv_int8_fp32_pipelined
* \brief Semi-structured Sparse calculation implementation of 1x1 convolution, * the input-output * type is int8-f32. * Semi-structured Sparse matr
lite/backends/arm/math/sparse_semi_conv_impl.cc:3943
↓ 3 callersFunctionsplit_tokens
lite/demo/cxx/lac_demo/lac_util.cc:17
↓ 3 callersFunctionstack
lite/backends/nnadapter/nnadapter/include/nnadapter/operation/math/stack.h:28
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