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

⨍ Functions 18,290◇ Types & classes 3,616
↓ 2 callersFunctionget_allocation
lite/model_parser/pb/tensor_io.cc:53
↓ 2 callersFunctionget_attr_np
(op_type)
lite/tests/unittest_py/op/common/test_hard_act_op_base.py:43
↓ 2 callersFunctionget_bytes_size
lite/model_parser/pb/tensor_io.cc:49
↓ 2 callersFunctionget_header
(content)
lite/tools/cmake_tools/gen_opencl_code.py:76
↓ 2 callersFunctionget_new_data_from_tensor
lite/kernels/opencl/slice_buffer_compute.cc:41
↓ 2 callersFunctionget_new_data_from_tensor
lite/kernels/arm/slice_compute.cc:86
↓ 2 callersFunctionget_new_data_from_tensorlist
lite/kernels/opencl/slice_buffer_compute.cc:29
↓ 2 callersFunctionget_new_data_from_tensorlist
lite/kernels/arm/slice_compute.cc:65
↓ 2 callersFunctionget_new_shape
lite/backends/x86/math/interpolate.cc:526
↓ 2 callersFunctionget_pull
:param pull_id: :return: pull
tools/coverage/pull_request.py:16
↓ 2 callersFunctionget_stride
lite/kernels/arm/rnn_compute.cc:347
↓ 2 callersFunctionget_stride
lite/kernels/arm/transpose_compute.cc:449
↓ 2 callersFunctionget_stride
lite/kernels/x86/rnn_compute.cc:195
↓ 2 callersFunctionget_weight_max_tensor_name
lite/core/optimizer/mir/fusion/__xpu__multi_encoder_fuse_pass.cc:42
↓ 2 callersFunctiongettimeofday
lite/backends/nnadapter/nnadapter/src/driver/fake_device/fake_ddk/src/logging.h:33
↓ 2 callersFunctiongpc_eq
lite/backends/host/math/gpc.h:124
↓ 2 callersFunctiongpc_optimal
lite/backends/host/math/gpc.h:132
↓ 2 callersFunctiongru_add_with_bias
lite/backends/arm/math/gru_utils.h:48
↓ 2 callersFunctiongru_unit_out_act
lite/backends/arm/math/gru_utils.h:322
↓ 2 callersFunctiongru_unit_reset_act
lite/backends/arm/math/gru_utils.h:251
↓ 2 callersMethodhash
lite/core/type_system.cc:21
↓ 2 callersMethodid
lite/backends/nnadapter/nnadapter/src/utility/debug.cc:59
↓ 2 callersFunctionim2col<float>
lite/backends/arm/math/conv_impl.cc:378
↓ 2 callersFunctionim2col<int8_t>
lite/backends/arm/math/conv_impl.cc:457
↓ 2 callersFunctionim2col_fp16
* \brief normal im2col function for gemm conv * @param data_im * @param channels * @param height * @param width * @param kernel_size * @param pa
lite/backends/arm/math/fp16/conv_impl_fp16.cc:215
↓ 2 callersFunctionim2sequence
lite/kernels/host/im2sequence_compute.cc:26
↓ 2 callersFunctionim2sequence
lite/tests/kernels/im2sequence_compute_test.cc:23
↓ 2 callersMethodimage_converter
lite/backends/opencl/cl_image.h:92
↓ 2 callersFunctionimage_flip_basic
lite/tests/cv/cv_basic.h:762
↓ 2 callersFunctionimage_resize_basic
lite/tests/cv/cv_basic.h:483
↓ 2 callersFunctionimage_rotate_basic
lite/tests/cv/cv_basic.h:684
↓ 2 callersFunctionin_array
lite/backends/xpu/npy_dump.h:223
↓ 2 callersMethodinitial
lite/backends/x86/math/pooling.h:40
↓ 2 callersMethodinput_lod_deps
lite/model_parser/ssa/op_desc.cc:150
↓ 2 callersFunctioninput_trans_c8_4x4_fp16
BT=[1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 1, 0, 0, 1, 0, -1]
lite/backends/arm/math/fp16/conv3x3_winograd_fp16.cc:612
↓ 2 callersFunctioninput_trans_c8_4x4_int8
BT=[1, 0, -1, 0, 0, 1, 1, 0, 0, -1, 1, 0, 0, 1, 0, -1]
lite/backends/arm/math/conv3x3_winograd_int8.cc:746
↓ 2 callersFunctioninput_trans_c8_6x6_int8
BT[6][6] = { {4, 0, -5, 0, 1, 0}, {0,-4, -4, 1, 1, 0}, {0, 4, -4,-1, 1, 0}, {0,-2, -1, 2, 1, 0}, {0, 2, -1,-2, 1, 0}, {0, 4, 0,-5, 0, 1} };
lite/backends/arm/math/conv3x3_winograd_int8.cc:841
↓ 2 callersFunctioninput_trans_c8_post_6x6_int8
BT[6][6] = { {4, 0, -5, 0, 1, 0}, {0,-4, -4, 1, 1, 0}, {0, 4, -4,-1, 1, 0}, {0,-2, -1, 2, 1, 0}, {0, 2, -1,-2, 1, 0}, {0, 4, 0,-5, 0, 1} };
lite/backends/arm/math/conv3x3_winograd_int8.cc:880
↓ 2 callersMethodinput_vars
lite/model_parser/flatbuffers/op_desc.h:173
↓ 2 callersFunctioninsert_bound
lite/backends/host/math/gpc.cc:154
↓ 2 callersFunctionint32_to_fp32
lite/backends/arm/math/type_trans.cc:473
↓ 2 callersFunctionint32_to_int8
lite/backends/arm/math/type_trans.cc:573
↓ 2 callersFunctionint64_vector_to_jlongarray
lite/api/android/jni/native/convert_util_jni.h:105
↓ 2 callersFunctionints
third-party/flatbuffers/pre-build/framework_generated.h:734
↓ 2 callersFunctionis_a_ge_zero_and_a_lt_b
lite/kernels/opencl/im2col_buffer_test.cc:42
↓ 2 callersFunctionis_a_ge_zero_and_a_lt_b
lite/backends/arm/math/col_im_transform.cc:24
↓ 2 callersFunctionis_a_ge_zero_and_a_lt_b
* \brief inline funcs used in im2col * @param a * @param b * @return */
lite/backends/arm/math/conv_impl.cc:42
↓ 2 callersFunctionis_a_ge_zero_and_a_lt_b
lite/backends/x86/math/conv2d_transpose.cc:31
↓ 2 callersFunctionis_a_ge_zero_and_a_lt_b
lite/tests/utils/naive_math_impl.h:548
↓ 2 callersFunctionis_alpha
Case-insensitive isalpha
third-party/flatbuffers/pre-build/flatbuffers/util.h:48
↓ 2 callersFunctionis_fast_broadcast
lite/kernels/arm/elementwise_compute.cc:54
↓ 2 callersFunctionis_fast_broadcast
* Out = X point dot Y * If Y's shape does not match X' shape, they will be reshaped. * For example: * 1. shape(X) = (2, 3, 4, 5), shape(Y) = (3, 4)
lite/kernels/x86/elementwise_compute.cc:63
↓ 2 callersMethodis_model_test
(self)
lite/tests/unittest_py/auto_scan_base.py:420
↓ 2 callersFunctionisinf
lite/backends/x86/fluid/float16.h:641
↓ 2 callersFunctionisnan
lite/backends/x86/fluid/float16.h:637
↓ 2 callersFunctionjoin
lite/backends/x86/dynamic_loader.cc:44
↓ 2 callersFunctionjudge_update_shape
(ref_shape, index_shape)
lite/tests/unittest_py/op/common/test_scatter_nd_add_op_base.py:29
↓ 2 callersFunctionloadb_eight
loadb: 8x8 b=8
lite/backends/arm/math/packed_sgemm.cc:2487
↓ 2 callersFunctionloadb_trans_eight
loadb_trans: 8x8 b=8
lite/backends/arm/math/packed_sgemm.cc:2605
↓ 2 callersFunctionlod
third-party/flatbuffers/pre-build/param_generated.h:297
↓ 2 callersFunctionlod_level
third-party/flatbuffers/pre-build/framework_generated.h:1386
↓ 2 callersFunctionlog256_ps
natural logarithm computed for 8 simultaneous float return NaN for x <= 0 */
lite/backends/x86/math/avx/avx_mathfuns.cc:176
↓ 2 callersFunctionlongs
third-party/flatbuffers/pre-build/framework_generated.h:782
↓ 2 callersFunctionmatmul
lite/backends/opencl/cl_image_converter.cc:504
↓ 2 callersFunctionmeshgrid
lite/backends/nnadapter/nnadapter/include/nnadapter/operation/math/meshgrid.h:27
↓ 2 callersMethodmin
third-party/flatbuffers/pre-build/flatbuffers/stl_emulation.h:122
↓ 2 callersFunctionmutable_data
third-party/flatbuffers/pre-build/cache_generated.h:82
↓ 2 callersMethodmutable_inputs
lite/model_parser/flatbuffers/op_desc.h:164
↓ 2 callersMethodmutable_ops
lite/core/program.h:73
↓ 2 callersMethodmutable_outputs
lite/model_parser/flatbuffers/op_desc.h:168
↓ 2 callersMethodmutable_rows
lite/backends/x86/fluid/selected_rows.h:73
↓ 2 callersMethodmutable_vars
lite/core/program.h:67
↓ 2 callersFunctionnaive_div
lite/backends/arm/math/elementwise_naive_impl.h:52
↓ 2 callersFunctionnearest_interp
lite/backends/x86/math/interpolate.cc:471
↓ 2 callersMethodnewCppPaddlePredictor
Creates a new C++ PaddlePredcitor object using CxxConfig, returns the reinterpret_cast value of the C++ pointer which points to C++ PaddlePredictor.
lite/api/android/jni/src/com/baidu/paddle/lite/PaddlePredictor.java:173
↓ 2 callersFunctionnv2bgr
lite/tests/cv/cv_basic.h:25
↓ 2 callersFunctionnv2bgra
lite/tests/cv/cv_basic.h:95
↓ 2 callersFunctionobjects
third-party/flatbuffers/pre-build/flatbuffers/reflection_generated.h:1061
↓ 2 callersMethodop
lite/backends/nnadapter/nnadapter/src/driver/huawei_ascend_npu/converter/converter.h:44
↓ 2 callersMethodop_params_file_path
lite/backends/nnadapter/nnadapter/src/driver/cambricon_mlu/engine.h:38
↓ 2 callersFunctionop_version
third-party/flatbuffers/pre-build/framework_generated.h:2189
↓ 2 callersFunctionop_version_map
third-party/flatbuffers/pre-build/framework_generated.h:2301
↓ 2 callersFunctionoutput_trans_c4_4x6
AT = [ 1 1 1 1 1 0 0 1 -1 2 -2 0 0 1 1 4 4 0 0 1 -1 8 -8 0 ] */
lite/backends/arm/math/conv3x3_winograd_fp32_c4.cc:1354
↓ 2 callersFunctionoutput_trans_c4_6x8
AT = [ 1 1 1 1 1 1 1 0 0 1 -1 2 -2 1/2 -1/2 0 0 1 1 4 4 1/4 1/4 0 0 1 -1 8 -8 1/8
lite/backends/arm/math/conv3x3_winograd_fp32_c4.cc:1248
↓ 2 callersFunctionoutput_trans_c4_post_4x6
lite/backends/arm/math/conv3x3_winograd_fp32_c4.cc:1382
↓ 2 callersFunctionoutput_trans_c4_post_6x8
lite/backends/arm/math/conv3x3_winograd_fp32_c4.cc:1292
↓ 2 callersFunctionoutput_trans_c8_post_2x4_fp16
AT=[1, 1, 1, 0, 0, 1, -1, -1]
lite/backends/arm/math/fp16/conv3x3_winograd_fp16.cc:741
↓ 2 callersFunctionoutput_trans_c8_post_2x4_int8
AT=[1, 1, 1, 0, 0, 1, -1, -1]
lite/backends/arm/math/conv3x3_winograd_int8.cc:913
↓ 2 callersMethodoutput_vars
lite/model_parser/flatbuffers/op_desc.h:185
↓ 2 callersFunctionpack4_m128
input [bs, ic, ih, iw] => [bs, ic/4, ih, iw, 4] filter [oc, 01, ih, iw] => [01, ic/4, ih, iw, 4] for depthwise
lite/backends/x86/math/avx/conv_utils.cc:214
↓ 2 callersFunctionpacked_groups
lite/backends/x86/jit/gen_base.cc:74
↓ 2 callersFunctionparse_sppported_kernels_from_path
(list_path)
lite/tools/cmake_tools/create_fake_kernel_registry.py:211
↓ 2 callersFunctionpermute
lite/tests/kernels/generate_proposals_v2_compute_test.cc:98
↓ 2 callersFunctionpermute
lite/tests/kernels/generate_proposals_compute_test.cc:98
↓ 2 callersMethodpick_kernel_class
pick the actual used kernel on the basis of kernel attribute information. self.str() stores the original source content. Kernel attributes in
lite/tools/cmake_tools/ast.py:272
↓ 2 callersFunctionpool_avg
lite/kernels/opencl/pool_image_compute_test.cc:28
↓ 2 callersFunctionpow256_ps
lite/backends/x86/math/avx/avx_mathfuns.cc:319
↓ 2 callersMethodpower_mode
lite/backends/arm/arm_dnn_library/src/runtime/device.cc:172
↓ 2 callersFunctionpre_process
lite/demo/cxx/mask_detection/mask_detection.cc:116
↓ 2 callersMethodprecision
lite/core/tensor.h:79
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