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Functions209 in github.com/AmusementClub/vs-mlrt

⨍ Functions 209◇ Types & classes 50
↓ 70 callersFunctionget_node_attr_ai
vsncnn/onnx2ncnn.cpp:20
↓ 51 callersFunctionget_node_attr_i
vsncnn/onnx2ncnn.cpp:67
↓ 41 callersFunctionget_node_attr_f
vsncnn/onnx2ncnn.cpp:78
↓ 35 callersFunctionget_tensor_proto_data_size
vsncnn/onnx2ncnn.cpp:242
↓ 31 callersFunctionfwrite_tensor_proto_data
vsncnn/onnx2ncnn.cpp:254
↓ 31 callersFunctionget_node_attr_from_input_ai
vsncnn/onnx2ncnn.cpp:162
↓ 21 callersFunctionget_node_attr_from_input_af
vsncnn/onnx2ncnn.cpp:203
↓ 15 callersFunctionget_node_attr_from_input_f
vsncnn/onnx2ncnn.cpp:112
↓ 14 callersFunctionget_node_attr_s
vsncnn/onnx2ncnn.cpp:89
↓ 13 callersMethodOV_CPU
(*, num_streams: typing.Union[int, str] = 1, bf16: bool = False, bind_thread: bool = T
scripts/vsmlrt.py:3321
↓ 13 callersFunctioninference_with_fallback
( clips: typing.List[vs.VideoNode], network_path: typing.Union[bytes, str], overlap: typing.Tuple[
scripts/vsmlrt.py:3075
↓ 11 callersFunctioninit_backend
( backend: backendT, trt_opt_shapes: typing.Tuple[int, int] )
scripts/vsmlrt.py:2611
↓ 9 callersFunctioncalc_tilesize
( tiles: typing.Optional[typing.Union[int, typing.Tuple[int, int]]], tilesize: typing.Optional[typing.
scripts/vsmlrt.py:2580
↓ 8 callersFunctionbits_as
(clip: vs.VideoNode, target: vs.VideoNode)
scripts/vsmlrt.py:3242
↓ 7 callersFunction_expr
( clip: vs.VideoNode, expr: typing.Union[str, typing.Sequence[str]], format: typing.Optional[int]
scripts/vsmlrt.py:3454
↓ 7 callersFunctiongetShape
vsort/vs_onnxruntime.cpp:125
↓ 5 callersFunctionconvert_float_to_float16
common/convert_float_to_float16.cpp:190
↓ 5 callersFunctionparse_trt_version
(version: int)
scripts/vsmlrt.py:3446
↓ 5 callersFunctionverbose
vsort/win32.cpp:34
↓ 4 callersFunction_inference
( clips: typing.List[vs.VideoNode], network_path: typing.Union[bytes, str], overlap: typing.Tuple[
scripts/vsmlrt.py:2652
↓ 4 callersFunctioncalc_size
(width: int, tiles: int, overlap: int, multiple: int = 1)
scripts/vsmlrt.py:2576
↓ 4 callersFunctiongetBytesPerSample
vstrt/trt_utils.h:242
↓ 4 callersFunctiongetNumBytes
vsort/vs_onnxruntime.cpp:171
↓ 4 callersFunctionmake_node
base
common/convert_float_to_float16.cpp:112
↓ 4 callersMethodrelease
vsort/vs_onnxruntime.cpp:491
↓ 3 callersFunctionRIFEMerge
temporal MaskedMerge-like interface for the RIFE model Its semantics is similar to core.std.MaskedMerge(clipa, clipb, mask, first_plane=True),
scripts/vsmlrt.py:985
↓ 3 callersFunctionconvert_tensor_float_to_float16
common/convert_float_to_float16.cpp:204
↓ 3 callersFunctionenqueue
vstrt/trt_utils.h:144
↓ 3 callersFunctionloadONNX
common/onnx_utils.cpp:95
↓ 3 callersMethodrelease
vsncnn/vs_ncnn.cpp:144
↓ 3 callersMethodrelease
vsmigx/vs_migraphx.cpp:420
↓ 3 callersFunctionset_node_attr_ai
vsncnn/onnx2ncnn.cpp:39
↓ 2 callersFunctioncheckIOInfo
vsov/vs_openvino.cpp:104
↓ 2 callersFunctioncheckIOInfo
vsort/vs_onnxruntime.cpp:230
↓ 2 callersFunctioncheckNodes
vstrt/utils.h:92
↓ 2 callersFunctionconvert_model
( network_path: str, target_network_path: str, fp16: bool = False, bf16: bool = False, inp
scripts/vsmlrt.py:1942
↓ 2 callersFunctiondllDir
vsort/win32.cpp:37
↓ 2 callersFunctionflexible_inference_with_fallback
( clips: typing.List[vs.VideoNode], network_path: typing.Union[bytes, str], overlap: typing.Tuple[
scripts/vsmlrt.py:3149
↓ 2 callersFunctionfmtc_resample
(clip: vs.VideoNode, **kwargs)
scripts/vsmlrt.py:3431
↓ 2 callersFunctiongetSampleType
0: integer, 1: float
vstrt/trt_utils.h:592
↓ 2 callersFunctiongetShape
vsov/vs_openvino.cpp:41
↓ 2 callersFunctiongetSize
vstrt/trt_utils.h:230
↓ 2 callersFunctionget_engine_path
( network_path: str, min_shapes: typing.Tuple[int, int], opt_shapes: typing.Tuple[int, int], m
scripts/vsmlrt.py:1865
↓ 2 callersFunctionget_input_name
(network_path: str)
scripts/vsmlrt.py:3236
↓ 2 callersFunctionget_node_attr_af
vsncnn/onnx2ncnn.cpp:49
↓ 2 callersFunctioninitEngine
vstrt/trt_utils.h:565
↓ 2 callersFunctionloadDLLs
vsov/win32.cpp:44
↓ 2 callersFunctionortInit
vsort/vs_onnxruntime.cpp:107
↓ 2 callersMethodrelease
vstrt/vs_tensorrt.cpp:105
↓ 1 callersMethodMIGX
(*, fp16: bool = False, opt_shapes: typing.Optional[typing.Tuple[int, int]] = None, **
scripts/vsmlrt.py:3375
↓ 1 callersMethodNCNN_VK
(*, num_streams: int = 1, fp16: bool = False, device_id: int = 0, **kwargs
scripts/vsmlrt.py:3291
↓ 1 callersMethodORT_CPU
(*, num_streams: int = 1, **kwargs )
scripts/vsmlrt.py:3337
↓ 1 callersMethodORT_CUDA
(*, num_streams: int = 1, fp16: bool = False, cudnn_benchmark: bool = True, de
scripts/vsmlrt.py:3305
↓ 1 callersMethodORT_DML
(*, device_id: int = 0, num_streams: int = 1, fp16: bool = False, **kwargs
scripts/vsmlrt.py:3361
↓ 1 callersMethodOV_GPU
(*, num_streams: typing.Union[int, str] = 1, fp16: bool = False, device_id: int = 0,
scripts/vsmlrt.py:3347
↓ 1 callersMethodOV_NPU
(**kwargs )
scripts/vsmlrt.py:3388
↓ 1 callersMethodTRT
(*, num_streams: int = 1, fp16: bool = False, output_format: int = 0, # 0: fp32, 1: fp
scripts/vsmlrt.py:3266
↓ 1 callersMethodTRT_RTX
(*, num_streams: int = 1, fp16: bool = False, workspace: typing.Optional[int] = None,
scripts/vsmlrt.py:3407
↓ 1 callersMethodacquire
vstrt/vs_tensorrt.cpp:93
↓ 1 callersMethodacquire
vsort/vs_onnxruntime.cpp:481
↓ 1 callersMethodacquire
vsncnn/vs_ncnn.cpp:134
↓ 1 callersMethodacquire
vsmigx/vs_migraphx.cpp:410
↓ 1 callersMethodadd_node
common/convert_float_to_float16.cpp:33
↓ 1 callersFunctioncheckEngine
vstrt/trt_utils.h:459
↓ 1 callersFunctioncheckNetwork
vsov/vs_openvino.cpp:137
↓ 1 callersFunctioncheckNodes
vsov/vs_openvino.cpp:77
↓ 1 callersFunctioncheckNodes
vsort/vs_onnxruntime.cpp:199
↓ 1 callersFunctioncheckNodes
vsncnn/vs_ncnn.cpp:37
↓ 1 callersFunctioncheckNodes
vsmigx/vs_migraphx.cpp:87
↓ 1 callersFunctioncheckNodesAndContext
vstrt/utils.h:152
↓ 1 callersFunctioncheckNodesAndNetwork
vsov/vs_openvino.cpp:165
↓ 1 callersFunctioncheckNodesAndNetwork
vsort/vs_onnxruntime.cpp:323
↓ 1 callersFunctioncheckSession
vsort/vs_onnxruntime.cpp:278
↓ 1 callersFunctiondllDir
vstrt/win32.cpp:46
↓ 1 callersFunctiondllDir
vsov/win32.cpp:25
↓ 1 callersFunctiondllDir
vsmigx/win32.cpp:24
↓ 1 callersFunctionfloat_to_half
simplified from https://github.com/numpy/numpy/blob/v1.21.5/numpy/core/src/npymath/halffloat.c#L243-L364 Inf or NaN overflow to signed inf underflow t
common/convert_float_to_float16.cpp:165
↓ 1 callersFunctionfuse_batchnorm1d_squeeze_unsqueeze
vsncnn/onnx2ncnn.cpp:923
↓ 1 callersFunctionfuse_binaryop_with_scalar
vsncnn/onnx2ncnn.cpp:2652
↓ 1 callersFunctionfuse_expand_broadcast
vsncnn/onnx2ncnn.cpp:1836
↓ 1 callersFunctionfuse_flatten
vsncnn/onnx2ncnn.cpp:1492
↓ 1 callersFunctionfuse_groupnorm
vsncnn/onnx2ncnn.cpp:1128
↓ 1 callersFunctionfuse_hardsigmoid
vsncnn/onnx2ncnn.cpp:773
↓ 1 callersFunctionfuse_hardswish
vsncnn/onnx2ncnn.cpp:605
↓ 1 callersFunctionfuse_layernorm
vsncnn/onnx2ncnn.cpp:1290
↓ 1 callersFunctionfuse_lstm_gru_rnn
vsncnn/onnx2ncnn.cpp:1882
↓ 1 callersFunctionfuse_multiheadattention
vsncnn/onnx2ncnn.cpp:2112
↓ 1 callersFunctionfuse_normalize
vsncnn/onnx2ncnn.cpp:1022
↓ 1 callersFunctionfuse_pixelshuffle
vsncnn/onnx2ncnn.cpp:1614
↓ 1 callersFunctionfuse_reorg
vsncnn/onnx2ncnn.cpp:1725
↓ 1 callersFunctionfuse_rewrite_gather
vsncnn/onnx2ncnn.cpp:265
↓ 1 callersFunctionfuse_shufflechannel
vsncnn/onnx2ncnn.cpp:410
↓ 1 callersFunctionfuse_shufflechannel_split
vsncnn/onnx2ncnn.cpp:529
↓ 1 callersFunctionfuse_swish
vsncnn/onnx2ncnn.cpp:881
↓ 1 callersFunctionfuse_unsqueeze_prelu
vsncnn/onnx2ncnn.cpp:969
↓ 1 callersFunctionfuse_weight_reshape
vsncnn/onnx2ncnn.cpp:302
↓ 1 callersFunctionfuse_weight_transpose
vsncnn/onnx2ncnn.cpp:345
↓ 1 callersFunctiongetBytesPerSample
vsmigx/vs_migraphx.cpp:153
↓ 1 callersFunctiongetConfig
vsov/vs_openvino.cpp:216
↓ 1 callersFunctiongetFrames
vstrt/utils.h:74
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