repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
mmdeploy | mmdeploy-master/demo/demo_rewrite.py | # Copyright (c) OpenMMLab. All rights reserved.
import asyncio
import os
import shutil
import torch
from pyppeteer import launch
from torchvision.models import resnet18
from mmdeploy.core import FUNCTION_REWRITER, RewriterContext, patch_model
from mmdeploy.utils import get_root_logger
@FUNCTION_REWRITER.register_re... | 3,979 | 33.310345 | 77 | py |
mmdeploy | mmdeploy-master/configs/mmcls/classification_coreml_dynamic-224x224-224x224.py | _base_ = ['../_base_/torchscript_config.py', '../_base_/backends/coreml.py']
codebase_config = dict(type='mmcls', task='Classification')
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 224, 224],
max_shape=[8, 3, 224, 2... | 378 | 28.153846 | 76 | py |
mmdeploy | mmdeploy-master/configs/mmcls/classification_torchscript.py | _base_ = [
'../_base_/torchscript_config.py', '../_base_/backends/torchscript.py'
]
ir_config = dict(input_shape=None)
codebase_config = dict(type='mmcls', task='Classification')
| 184 | 25.428571 | 74 | py |
mmdeploy | mmdeploy-master/configs/mmseg/segmentation_coreml_static-512x1024.py | _base_ = [
'../_base_/torchscript_config.py', '../_base_/backends/coreml.py',
'./segmentation_static.py'
]
ir_config = dict(input_shape=[1024, 512])
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 512, 1024],
max... | 400 | 25.733333 | 70 | py |
mmdeploy | mmdeploy-master/configs/mmseg/segmentation_torchscript.py | _base_ = [
'../_base_/torchscript_config.py', '../_base_/backends/torchscript.py'
]
ir_config = dict(input_shape=None)
codebase_config = dict(type='mmseg', task='Segmentation')
| 182 | 25.142857 | 74 | py |
mmdeploy | mmdeploy-master/configs/_base_/torchscript_config.py | ir_config = dict(
type='torchscript',
save_file='end2end.pt',
input_names=['input'],
output_names=['output'],
input_shape=None)
| 148 | 20.285714 | 28 | py |
mmdeploy | mmdeploy-master/configs/_base_/backends/torchscript.py | backend_config = dict(type='torchscript')
| 42 | 20.5 | 41 | py |
mmdeploy | mmdeploy-master/configs/mmpose/pose-detection_torchscript.py | _base_ = [
'../_base_/torchscript_config.py', '../_base_/backends/torchscript.py'
]
codebase_config = dict(type='mmpose', task='PoseDetection')
ir_config = dict(input_shape=[192, 256])
| 190 | 26.285714 | 74 | py |
mmdeploy | mmdeploy-master/configs/mmdet/_base_/base_instance-seg_coreml_static-800x1344.py | _base_ = ['./base_torchscript.py', '../../_base_/backends/coreml.py']
ir_config = dict(
input_shape=(1344, 800), output_names=['dets', 'labels', 'masks'])
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 800, 1344],
... | 514 | 29.294118 | 75 | py |
mmdeploy | mmdeploy-master/configs/mmdet/_base_/base_coreml_static-800x1344.py | _base_ = ['./base_torchscript.py', '../../_base_/backends/coreml.py']
ir_config = dict(input_shape=(1344, 800))
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 800, 1344],
max_shape=[1, 3, 800, 1344],
def... | 355 | 28.666667 | 69 | py |
mmdeploy | mmdeploy-master/configs/mmdet/_base_/base_instance-seg_torchscript.py | _base_ = ['./base_torchscript.py']
ir_config = dict(output_names=['dets', 'labels', 'masks'])
codebase_config = dict(post_processing=dict(export_postprocess_mask=False))
| 171 | 33.4 | 75 | py |
mmdeploy | mmdeploy-master/configs/mmdet/_base_/base_torchscript.py | _base_ = ['../../_base_/torchscript_config.py']
ir_config = dict(output_names=['dets', 'labels'])
codebase_config = dict(
type='mmdet',
task='ObjectDetection',
model_type='end2end',
post_processing=dict(
score_threshold=0.05,
confidence_threshold=0.005, # for YOLOv3
iou_thresho... | 455 | 25.823529 | 49 | py |
mmdeploy | mmdeploy-master/configs/mmdet/instance-seg/instance-seg_torchscript.py | _base_ = [
'../_base_/base_instance-seg_torchscript.py',
'../../_base_/backends/torchscript.py'
]
| 106 | 20.4 | 49 | py |
mmdeploy | mmdeploy-master/configs/mmdet/detection/detection_coreml_static-608x608.py | _base_ = ['../_base_/base_torchscript.py', '../../_base_/backends/coreml.py']
ir_config = dict(input_shape=(608, 608))
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 608, 608],
max_shape=[1, 3, 608, 608],
... | 359 | 29 | 77 | py |
mmdeploy | mmdeploy-master/configs/mmdet/detection/detection_torchscript.py | _base_ = [
'../_base_/base_torchscript.py', '../../_base_/backends/torchscript.py'
]
| 89 | 21.5 | 75 | py |
mmdeploy | mmdeploy-master/configs/mmedit/super-resolution/super-resolution_torchscript.py | _base_ = [
'../../_base_/torchscript_config.py',
'../../_base_/backends/torchscript.py'
]
ir_config = dict(input_shape=None)
codebase_config = dict(type='mmedit', task='SuperResolution')
| 196 | 23.625 | 61 | py |
mmdeploy | mmdeploy-master/configs/mmocr/text-detection/text-detection_torchscript.py | _base_ = [
'../../_base_/torchscript_config.py',
'../../_base_/backends/torchscript.py'
]
ir_config = dict(input_shape=None)
codebase_config = dict(type='mmocr', task='TextDetection')
| 193 | 23.25 | 58 | py |
mmdeploy | mmdeploy-master/configs/mmocr/text-recognition/text-recognition_torchscript.py | _base_ = [
'../../_base_/torchscript_config.py',
'../../_base_/backends/torchscript.py'
]
ir_config = dict(input_shape=None)
codebase_config = dict(type='mmocr', task='TextRecognition')
| 195 | 23.5 | 60 | py |
mmdeploy | mmdeploy-master/configs/mmocr/text-recognition/text-recognition_coreml_dynamic-32x32-32x640.py | _base_ = [
'../../_base_/torchscript_config.py', '../../_base_/backends/coreml.py'
]
codebase_config = dict(type='mmocr', task='TextRecognition')
backend_config = dict(model_inputs=[
dict(
input_shapes=dict(
input=dict(
min_shape=[1, 3, 32, 32],
max_shape=[1,... | 385 | 26.571429 | 75 | py |
mmdeploy | mmdeploy-master/docs/en/conf.py | #
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or ... | 7,049 | 30.473214 | 79 | py |
mmdeploy | mmdeploy-master/docs/zh_cn/conf.py | #
# Configuration file for the Sphinx documentation builder.
#
# This file does only contain a selection of the most common options. For a
# full list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or ... | 7,082 | 30.48 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
from mmdeploy.utils import get_root_logger
from .version import __version__ # noqa F401
if importlib.util.find_spec('torch'):
importlib.import_module('mmdeploy.pytorch')
else:
logger = get_root_logger()
logger.debug('torch is not installed.... | 486 | 26.055556 | 47 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/inference.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Any, Sequence, Union
import mmcv
import numpy as np
def inference_model(model_cfg: Union[str, mmcv.Config],
deploy_cfg: Union[str, mmcv.Config],
backend_files: Sequence[str], img: Union[str, np.ndarray],
... | 1,957 | 34.6 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/pytorch2onnx.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Any, Optional, Union
import mmcv
from .core import PIPELINE_MANAGER
@PIPELINE_MANAGER.register_pipeline()
def torch2onnx(img: Any,
work_dir: str,
save_file: str,
deploy_cfg: Union[st... | 4,366 | 37.991071 | 82 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/calibration.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import mmcv
from .core import PIPELINE_MANAGER, no_mp
@PIPELINE_MANAGER.register_pipeline()
def create_calib_input_data(calib_file: str,
deploy_cfg: Union[str, mmcv.Config],
mod... | 3,282 | 38.083333 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .calibration import create_calib_input_data
from .extract_model import extract_model
from .inference import inference_model
from .pytorch2onnx import torch2onnx
from .pytorch2torchscript import torch2torchscript
from .utils import build_task_processor, get_predefined... | 573 | 37.266667 | 69 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/pytorch2torchscript.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Any, Optional, Union
import mmcv
from mmdeploy.apis.core.pipeline_manager import PIPELINE_MANAGER, no_mp
@PIPELINE_MANAGER.register_pipeline()
def torch2torchscript(img: Any,
work_dir: str,
... | 2,268 | 35.015873 | 76 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/visualize.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Sequence, Union
import mmcv
import numpy as np
import torch
from mmdeploy.utils import Backend, get_backend, get_input_shape, load_config
def visualize_model(model_cfg: Union[str, mmcv.Config],
deploy_cfg: Union[str, mm... | 3,645 | 36.979167 | 97 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/core/pipeline_manager.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
import inspect
import logging
from functools import wraps
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
from mmdeploy.utils import get_root_logger
try:
import torch.multiprocessing as mp
except Exception:
import multipr... | 12,918 | 33.087071 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/coreml/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.backend.coreml import is_available
__all__ = ['is_available']
if is_available():
from mmdeploy.backend.coreml.torchscript2coreml import \
from_torchscript as _from_torchscript
from mmdeploy.backend.coreml.torchscript2coreml import get_mode... | 504 | 35.071429 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/onnx/export.py | # Copyright (c) OpenMMLab. All rights reserved.
from copy import deepcopy
from functools import partial
from typing import Any, Dict, Optional, Sequence, Tuple, Union
import torch
from mmdeploy.apis.core import PIPELINE_MANAGER
from mmdeploy.core import RewriterContext, patch_model
from mmdeploy.utils import IR, Back... | 5,184 | 37.125 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/onnx/optimizer.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Callable
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter('torch.onnx.utils._model_to_graph')
def model_to_graph__custom_optimizer(ctx, *args, **kwargs):
"""Rewriter of _model_to_graph, add custom passes."""
gr... | 1,388 | 33.725 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/onnx/passes/optimize_onnx.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.utils import get_root_logger
def optimize_onnx(ctx, graph, params_dict, torch_out):
"""The optimize callback of the onnx model."""
logger = get_root_logger()
logger.info('Execute onnx optimize passes.')
try:
from mmdeploy.backend.to... | 1,017 | 41.416667 | 111 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/utils/calibration.py | # Copyright (c) OpenMMLab. All rights reserved.
from copy import deepcopy
from typing import Callable, Dict, Optional
import torch
from torch.utils.data import DataLoader
from ..core import PIPELINE_MANAGER
@PIPELINE_MANAGER.register_pipeline()
def create_calib_input_data(calib_file: str,
... | 3,765 | 39.934783 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/torch_jit/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.backend.torchscript import get_ops_path
from .trace import trace
__all__ = ['get_ops_path', 'trace']
| 164 | 26.5 | 53 | py |
mmdeploy | mmdeploy-master/mmdeploy/apis/torch_jit/trace.py | # Copyright (c) OpenMMLab. All rights reserved.
from copy import deepcopy
from typing import Any, Dict, Optional, Sequence, Tuple, Union
import torch
from mmdeploy.core import RewriterContext, patch_model
from mmdeploy.utils import IR, Backend, get_ir_config, get_root_logger
from ..core import PIPELINE_MANAGER
@PIP... | 4,032 | 36 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/optimizers/function_marker.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
from typing import Any, Callable, Dict, Optional, Sequence
import torch
from mmdeploy.core.rewriters import FUNCTION_REWRITER
from mmdeploy.utils import IR, cfg_apply_marks, get_partition_config
MARK_FUNCTION_COUNT = dict()
def reset_mark_function_coun... | 9,350 | 33.505535 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/rewriters/module_rewriter.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
from typing import Dict, List, Optional, Union
import mmcv
from torch import nn
from mmdeploy.utils.constants import IR, Backend
from .rewriter_utils import (Checker, RewriterRegistry, collect_env,
eval_with_import)
class Mo... | 4,447 | 35.760331 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/rewriters/rewriter_manager.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict
import mmcv
import torch.nn as nn
from mmdeploy.utils.constants import IR, Backend
from .function_rewriter import FunctionRewriter
from .module_rewriter import ModuleRewriter
from .rewriter_utils import collect_env
from .symbolic_rewriter import ... | 3,714 | 32.772727 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/rewriters/function_rewriter.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
from typing import (Any, Callable, Dict, List, MutableSequence, Optional,
Tuple, Union)
from mmdeploy.utils import IR, Backend, get_root_logger
from .rewriter_utils import (Checker, ContextCaller, RewriterRegistry,
... | 7,805 | 34.807339 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/rewriters/rewriter_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
import warnings
from abc import ABCMeta, abstractmethod
from functools import wraps
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import mmdeploy
from mmdeploy.utils.constants import IR, Backend
def eval_with_import(path: str) -> A... | 13,775 | 33.014815 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/core/rewriters/symbolic_rewriter.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Callable, Dict, List, Optional, Sequence, Union
import torch
from torch.autograd import Function
from torch.onnx.symbolic_helper import parse_args
from mmdeploy.utils import IR, Backend, get_root_logger
from .rewriter_utils import (Checker, ContextCal... | 6,340 | 40.717105 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tvm/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import re
from typing import Dict, Optional, Sequence, Union
import torch
import tvm
import tvm.contrib.graph_executor as runtime
from tvm.runtime.vm import Executable, VirtualMachine
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from .... | 3,921 | 31.683333 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tvm/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
from .backend_manager import TVMManager
_BackendManager = TVMManager
is_available = _BackendManager.is_available
build_wrapper = _BackendManager.build_wrapper
def get_library_ext() -> str:
"""Get the extension of the library.
Returns:
str: ... | 936 | 24.324324 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/onnxruntime/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Dict, Optional, Sequence
import onnxruntime as ort
import torch
from mmdeploy.utils import Backend, get_root_logger, parse_device_id
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
fro... | 4,642 | 37.371901 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/onnxruntime/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backend_manager import ONNXRuntimeManager
_BackendManager = ONNXRuntimeManager
is_available = _BackendManager.is_available
build_wrapper = _BackendManager.build_wrapper
__all__ = ['ONNXRuntimeManager']
if is_available():
try:
# import wrapper if pyto... | 446 | 23.833333 | 48 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/ascend/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
from contextlib import contextmanager
from typing import Dict, List, NamedTuple, Sequence
import acl
import numpy as np
import torch
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrappe... | 19,204 | 31.277311 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/rknn/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Sequence
import numpy as np
import torch
from rknn.api import RKNN
from mmdeploy.utils import Backend, get_root_logger
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
@BACKEND_WRAPPER.regi... | 2,614 | 34.821918 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tensorrt/torch_allocator.py | # Copyright (c) OpenMMLab. All rights reserved.
import tensorrt as trt
import torch
from mmdeploy.utils import get_root_logger
class TorchAllocator(trt.IGpuAllocator):
"""PyTorch Cuda Allocator Wrapper."""
def __init__(self, device_id: int = 0) -> None:
super().__init__()
self.device_id = d... | 1,801 | 27.603175 | 76 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tensorrt/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Any, Dict, Optional, Sequence, Union
import tensorrt as trt
import torch
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
from .init_plugins import load_tensorrt_plugin
fro... | 6,812 | 36.027174 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tensorrt/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import os
import re
import sys
from typing import Any, Dict, Optional, Sequence, Union
import onnx
import tensorrt as trt
from packaging import version
from mmdeploy.utils import get_root_logger
from .init_plugins import load_tensorrt_plugin
def save(en... | 9,521 | 35.068182 | 120 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/tensorrt/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
# flake8: noqa
from .backend_manager import TensorRTManager
from .init_plugins import load_tensorrt_plugin
_BackendManager = TensorRTManager
is_available = _BackendManager.is_available
build_wrapper = _BackendManager.build_wrapper
__all__ = ['TensorRTManager']
if is_av... | 684 | 27.541667 | 68 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/pplnn/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Sequence
import numpy as np
import onnx
import pyppl.common as pplcommon
import torch
from mmdeploy.utils import Backend, parse_device_id
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
from... | 3,552 | 33.495146 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/torchscript/backend_manager.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
from typing import Any, Callable, Optional, Sequence
from ..base import BACKEND_MANAGERS, BaseBackendManager
@BACKEND_MANAGERS.register('torchscript')
class TorchScriptManager(BaseBackendManager):
@classmethod
def build_wrapper(cls,
... | 3,641 | 32.722222 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/torchscript/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Dict, Optional, Sequence, Union
import torch
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
from .init_plugins import get_ops_path
@BACKEND_WRAPPE... | 4,192 | 37.46789 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/torchscript/init_plugins.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
def get_ops_path() -> str:
"""Get path of the torchscript extension library.
Returns:
str: A path of the torchscript extension library.
"""
from mmdeploy.utils import get_file_path
candidates = [
'../../lib/libm... | 759 | 26.142857 | 60 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/coreml/torchscript2coreml.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, Optional, Sequence, Union
import coremltools as ct
import torch
from mmdeploy.utils import get_root_logger
try:
# user might need ops from torchvision
import torchvision # noqa
except ImportError:
pass
def get_model_suffix(conver... | 3,455 | 31 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/coreml/backend_manager.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
import os.path as osp
from typing import Any, Optional, Sequence
from ..base import BACKEND_MANAGERS, BaseBackendManager
@BACKEND_MANAGERS.register('coreml')
class CoreMLManager(BaseBackendManager):
@classmethod
def build_wrapper(cls,
... | 4,783 | 37.580645 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/coreml/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict
import coremltools as ct
import numpy as np
import torch
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
@BACKEND_WRAPPER.register_module(Backend.COREML.value)
cla... | 2,111 | 30.058824 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/coreml/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .backend_manager import CoreMLManager
_BackendManager = CoreMLManager
is_available = _BackendManager.is_available
build_wrapper = _BackendManager.build_wrapper
__all__ = ['CoreMLManager']
if is_available():
from . import ops
from .torchscript2coreml impor... | 438 | 26.4375 | 59 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/coreml/ops.py | # Copyright (c) OpenMMLab. All rights reserved.
from coremltools.converters.mil import Builder as mb
from coremltools.converters.mil.frontend.torch.ops import _get_inputs
from coremltools.converters.mil.frontend.torch.torch_op_registry import \
register_torch_op
@register_torch_op
def coreml_nms(context, node):
... | 2,609 | 28.659091 | 76 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/base/base_wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
from abc import ABCMeta, abstractmethod
from typing import Dict, List, Sequence
import torch
class BaseWrapper(torch.nn.Module, metaclass=ABCMeta):
"""Abstract base class for backend wrappers.
Args:
output_names (Sequence[str]): Names to model outputs ... | 2,205 | 30.070423 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/snpe/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import abc
import os
import time
from random import randint
from typing import Dict, Optional, Sequence, Tuple
import grpc
import inference_pb2
import inference_pb2_grpc
import numpy as np
import torch
from mmdeploy.backend.snpe.onnx2dlc import get_env_key
from mmdeploy... | 8,398 | 32.462151 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/ncnn/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
from typing import Dict, Optional, Sequence
import ncnn
import numpy as np
import torch
from mmdeploy.utils import Backend, get_root_logger
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
@BACKEND_WRAPPER.r... | 5,102 | 33.47973 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/sdk/export_info.py | # Copyright (c) OpenMMLab. All rights reserved.
import importlib
import re
from typing import Dict, List, Tuple, Union
import mmcv
from mmdeploy.apis import build_task_processor
from mmdeploy.utils import (Backend, Task, get_backend, get_codebase,
get_common_config, get_ir_config,
... | 17,611 | 35.922432 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/backend/openvino/wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from typing import Dict, Optional, Sequence
import numpy as np
import torch
from mmdeploy.utils import Backend
from mmdeploy.utils.timer import TimeCounter
from ..base import BACKEND_WRAPPER, BaseWrapper
@BACKEND_WRAPPER.register_module(Backend.O... | 5,353 | 34.223684 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/timer.py | # Copyright (c) OpenMMLab. All rights reserved.
import time
import warnings
from contextlib import contextmanager
from typing import Optional
import numpy as np
import torch
from mmdeploy.utils.logging import get_logger
class TimeCounter:
"""A tool for counting inference time of backends."""
names = dict()
... | 6,196 | 36.107784 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import random
import string
import tempfile
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import mmcv
import numpy as np
import pytest
import torch
from torch import nn
import mmdeploy.codebase # noqa: F401,F403
from mmdepl... | 18,420 | 33.691149 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/constants.py | # Copyright (c) OpenMMLab. All rights reserved.
from enum import Enum
class AdvancedEnum(Enum):
"""Define an enumeration class."""
@classmethod
def get(cls, value):
"""Get the key through a value."""
for k in cls:
if k.value == value:
return k
raise Ke... | 2,681 | 26.649485 | 69 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/config_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Dict, List, Optional, Union
import mmcv
from .constants import Backend, Codebase, Task
from .utils import deprecate
def load_config(*args) -> List[mmcv.Config]:
"""Load the configuration and check the validity.
Args:
args (str | Seq... | 13,000 | 29.025404 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import glob
import logging
import os
import sys
import traceback
from typing import Callable, Optional, Union
try:
from torch import multiprocessing as mp
except ImportError:
import multiprocess as mp
from mmdeploy.utils.logging import get_logger
def target_wr... | 3,821 | 28.627907 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/utils/dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch.utils.data import Dataset
def is_can_sort_dataset(dataset: Dataset) -> bool:
"""Checking for the possibility of sorting the dataset by fields 'height'
and 'width'.
Args:
dataset (Dataset): The dataset.
Returns:
bool: Is it po... | 1,022 | 26.648649 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/models/necks/gap.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import Backend
@FUNCTION_REWRITER.register_rewriter(
'mmcls.models.necks.GlobalAveragePooling.forward',
backend=Backend.DEFAULT.value)
def gap__forward(ctx, self, inputs):
"""Rewr... | 859 | 30.851852 | 70 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/models/utils/attention.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.core.rewriters.rewriter_utils import LibVersionChecker
from mmdeploy.mmcv.cnn import MultiHeadAttentionop
from mmdeploy.utils import Backend, get_dynamic_axes
@FUNCTION_REWRITER.register_rewriter(
... | 7,172 | 37.983696 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/models/backbones/vision_transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import Backend
@FUNCTION_REWRITER.register_rewriter(
func_name= # noqa: E251
'mmcls.models.backbones.vision_transformer.VisionTransformer.forward',
backend=Backend.NCNN.value)
def... | 2,296 | 32.289855 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/models/backbones/shufflenet_v2.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
func_name='mmcls.models.backbones.shufflenet_v2.InvertedResidual.forward')
def shufflenetv2_backbone__forward__default(ctx, self, x):
"""Rewrite `forward` of Inverted... | 1,255 | 34.885714 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/deploy/classification.py | # Copyright (c) OpenMMLab. All rights reserved.
import logging
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union
import mmcv
import numpy as np
import torch
from torch.utils.data import Dataset
from mmdeploy.codebase.base import BaseTask
from mmdeploy.utils import Task, get_input_shape, get_roo... | 12,311 | 37.236025 | 81 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/deploy/classification_model.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Sequence, Union
import mmcv
import numpy as np
import torch
from mmcls.models.classifiers.base import BaseClassifier
from mmcv.utils import Registry
from mmdeploy.codebase.base import BaseBackendModel
from mmdeploy.utils import (Backend, get_bac... | 7,546 | 32.995495 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmcls/deploy/mmclassification.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import mmcv
import torch
from mmcv.utils import Registry
from torch.utils.data import DataLoader, Dataset
from mmdeploy.codebase.base import CODEBASE, BaseTask, MMCodebase
from mmdeploy.utils import Codebase, get_task_type
def ... | 5,593 | 37.315068 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/models/decode_heads/ema_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.decode_heads.ema_head.EMAModule.forward')
def ema_module__forward(ctx, self, feats):
"""Rewrite `forward` for ... | 1,732 | 36.673913 | 75 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/models/decode_heads/aspp_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmseg.ops import resize
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shape
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.decode_heads.ASPPHead.forward')
def aspp_head__forward(ctx, self, inputs)... | 1,319 | 29 | 69 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/models/utils/up_conv_block.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shape
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.utils.UpConvBlock.forward')
def up_conv_block__forward(ctx, self, skip, x):
"""Rewrite `forward` ... | 1,303 | 30.804878 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/models/segmentors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils import is_dynamic_shape
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.segmentors.BaseSegmentor.forward')
def base_segmentor__forward(ctx, self, img, img_metas=None, **kwarg... | 1,429 | 33.047619 | 70 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/models/segmentors/encoder_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn.functional as F
from mmdeploy.core import FUNCTION_REWRITER
from mmdeploy.utils.config_utils import get_codebase_config
from mmdeploy.utils.constants import Backend
@FUNCTION_REWRITER.register_rewriter(
func_name='mmseg.models.segmentors.EncoderDeco... | 2,328 | 34.830769 | 75 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/deploy/segmentation.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer
from torch.utils.data import Dataset
from mmdeploy.codebase.base import BaseTask
from mmdeploy.utils import Task,... | 12,035 | 37.33121 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/deploy/mmsegmentation.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import mmcv
import torch
from mmcv.utils import Registry
from torch.utils.data import DataLoader, Dataset
from mmdeploy.codebase.base import CODEBASE, BaseTask, MMCodebase
from mmdeploy.utils import Codebase, get_task_type
def __buil... | 5,782 | 37.812081 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmseg/deploy/segmentation_model.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Union
import mmcv
import numpy as np
import torch
from mmcv.utils import Registry
from mmseg.datasets import DATASETS
from mmseg.models.segmentors.base import BaseSegmentor
from mmseg.ops import resize
from mmdeploy.codebase.... | 9,409 | 34.779468 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/models/recognizers/base.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import Tensor
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmaction.models.recognizers.BaseRecognizer.forward')
def base_recognizer__forward(ctx,
self,
imgs: ... | 649 | 31.5 | 64 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/models/recognizers/recognizer3d.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import Tensor
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmaction.models.recognizers.Recognizer3D.forward_test')
def recognizer3d__forward_test(ctx, self, imgs: Tensor):
"""Rewrite `forward_test` of Recognizer3... | 377 | 30.5 | 69 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/models/recognizers/recognizer2d.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import Tensor
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmaction.models.recognizers.Recognizer2D.forward_test')
def recognizer2d__forward_test(ctx, self, imgs: Tensor):
"""Rewrite `forward_test` of Recognizer2... | 615 | 31.421053 | 74 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/deploy/mmaction.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Union
import mmcv
import numpy as np
import torch
from mmaction.datasets import PIPELINES
from mmcv.utils import Registry
from torch.utils.data import DataLoader, Dataset
from mmdeploy.codebase.base import CODEBASE, BaseTask, MMCodebas... | 6,471 | 36.410405 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/deploy/video_recognition_model.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Union
import mmcv
import numpy as np
import torch
from mmcv.utils import Registry
from mmdeploy.codebase.base import BaseBackendModel
from mmdeploy.utils import (Backend, get_backend, get_codebase_config,
... | 6,745 | 34.505263 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmaction/deploy/video_recognition.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union
import mmcv
import numpy as np
import torch
from mmcv.parallel import DataContainer
from torch.utils.data import Dataset
from mmdeploy.codebase.base import BaseTask
from mmdeploy.utils import (Task... | 14,329 | 37.315508 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/models/detectors/top_down.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmpose.models.detectors.top_down.TopDown.forward')
def top_down__forward(ctx, self, img, *args, **kwargs):
"""Rewrite `forward_test` of TopDown for default backend.'.
Rewrit... | 737 | 27.384615 | 63 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/models/heads/topdown_heatmap_multi_stage_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmpose.models.heads.TopdownHeatmapMSMUHead.inference_model')
def topdown_heatmap_msmu_head__inference_model(ctx, self, x, flip_pairs=None):
"""Rewrite ``inference_model`` for def... | 1,694 | 30.981132 | 78 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/models/heads/vipnas_heatmap_simple_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmpose.models.heads.ViPNASHeatmapSimpleHead.inference_model')
def vipnas_heatmap_simple_head__inference_model(ctx, self, x, flip_pairs=None):
"""Rewrite ``inference_model`` for d... | 749 | 27.846154 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/models/heads/topdown_heatmap_simple_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmpose.models.heads.TopdownHeatmapSimpleHead.inference_model')
def topdown_heatmap_simple_head__inference_model(ctx,
self,
... | 909 | 31.5 | 71 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/models/heads/deeppose_regression_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdeploy.core import FUNCTION_REWRITER
@FUNCTION_REWRITER.register_rewriter(
'mmpose.models.heads.DeepposeRegressionHead.inference_model')
def deeppose_regression_head__inference_model(ctx, self, x, flip_pairs=None):
"""Rewrite `forward_test` of TopDown fo... | 757 | 29.32 | 77 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/deploy/mmpose.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import Optional, Union
import mmcv
import torch
from mmcv.utils import Registry
from torch.utils.data import DataLoader, Dataset
from mmdeploy.codebase.base import CODEBASE, BaseTask, MMCodebase
from mmdeploy.utils import Codebase, get_task_type, load_config... | 4,859 | 35.541353 | 79 | py |
mmdeploy | mmdeploy-master/mmdeploy/codebase/mmpose/deploy/pose_detection_model.py | # Copyright (c) OpenMMLab. All rights reserved.
from typing import List, Optional, Sequence, Union
import mmcv
import numpy as np
import torch
from mmcv.utils import Registry
from mmdeploy.codebase.base import BaseBackendModel
from mmdeploy.utils import (Backend, get_backend, get_codebase_config,
... | 9,697 | 35.596226 | 79 | py |
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