[Enhancement] Speed up mmcv import (#1249)

* [Enhancement] Speed import mmcv

* fix missing parse_version

* fix circle dependency

* rename

mmcv/utils/__init__.py

@@ -40,10 +40,10 @@ else:
     from .logging import get_logger, print_log
     from .parrots_jit import jit, skip_no_elena
     from .parrots_wrapper import (
-        CUDA_HOME, TORCH_VERSION, BuildExtension, CppExtension, CUDAExtension,
-        DataLoader, PoolDataLoader, SyncBatchNorm, _AdaptiveAvgPoolNd,
-        _AdaptiveMaxPoolNd, _AvgPoolNd, _BatchNorm, _ConvNd,
-        _ConvTransposeMixin, _InstanceNorm, _MaxPoolNd, get_build_config)
+        TORCH_VERSION, BuildExtension, CppExtension, CUDAExtension, DataLoader,
+        PoolDataLoader, SyncBatchNorm, _AdaptiveAvgPoolNd, _AdaptiveMaxPoolNd,
+        _AvgPoolNd, _BatchNorm, _ConvNd, _ConvTransposeMixin, _InstanceNorm,
+        _MaxPoolNd, get_build_config, is_rocm_pytorch, _get_cuda_home)
     from .registry import Registry, build_from_cfg
     from .trace import is_jit_tracing
     __all__ = [
@@ -54,15 +54,16 @@ else:
         'is_filepath', 'fopen', 'check_file_exist', 'mkdir_or_exist',
         'symlink', 'scandir', 'ProgressBar', 'track_progress',
         'track_iter_progress', 'track_parallel_progress', 'Registry',
-        'build_from_cfg', 'Timer', 'TimerError', 'check_time', 'CUDA_HOME',
-        'SyncBatchNorm', '_AdaptiveAvgPoolNd', '_AdaptiveMaxPoolNd',
-        '_AvgPoolNd', '_BatchNorm', '_ConvNd', '_ConvTransposeMixin',
-        '_InstanceNorm', '_MaxPoolNd', 'get_build_config', 'BuildExtension',
-        'CppExtension', 'CUDAExtension', 'DataLoader', 'PoolDataLoader',
-        'TORCH_VERSION', 'deprecated_api_warning', 'digit_version',
-        'get_git_hash', 'import_modules_from_strings', 'jit', 'skip_no_elena',
+        'build_from_cfg', 'Timer', 'TimerError', 'check_time', 'SyncBatchNorm',
+        '_AdaptiveAvgPoolNd', '_AdaptiveMaxPoolNd', '_AvgPoolNd', '_BatchNorm',
+        '_ConvNd', '_ConvTransposeMixin', '_InstanceNorm', '_MaxPoolNd',
+        'get_build_config', 'BuildExtension', 'CppExtension', 'CUDAExtension',
+        'DataLoader', 'PoolDataLoader', 'TORCH_VERSION',
+        'deprecated_api_warning', 'digit_version', 'get_git_hash',
+        'import_modules_from_strings', 'jit', 'skip_no_elena',
         'assert_dict_contains_subset', 'assert_attrs_equal',
         'assert_dict_has_keys', 'assert_keys_equal', 'assert_is_norm_layer',
         'assert_params_all_zeros', 'check_python_script',
-        'is_method_overridden', 'is_jit_tracing'
+        'is_method_overridden', 'is_jit_tracing', 'is_rocm_pytorch',
+        '_get_cuda_home'
     ]

mmcv/utils/env.py

@@ -49,7 +49,8 @@ def collect_env():
         for name, device_ids in devices.items():
             env_info['GPU ' + ','.join(device_ids)] = name
 
-        from mmcv.utils.parrots_wrapper import CUDA_HOME
+        from mmcv.utils.parrots_wrapper import _get_cuda_home
+        CUDA_HOME = _get_cuda_home()
         env_info['CUDA_HOME'] = CUDA_HOME
 
         if CUDA_HOME is not None and osp.isdir(CUDA_HOME):

mmcv/utils/parrots_wrapper.py

@@ -3,23 +3,26 @@ from functools import partial
 
 import torch
 
-from mmcv.utils import digit_version
-
 TORCH_VERSION = torch.__version__
 
-is_rocm_pytorch = False
-if (TORCH_VERSION != 'parrots'
-        and digit_version(TORCH_VERSION) >= digit_version('1.5')):
+
+def is_rocm_pytorch() -> bool:
+    is_rocm = False
+    if TORCH_VERSION != 'parrots':
+        try:
             from torch.utils.cpp_extension import ROCM_HOME
-    is_rocm_pytorch = True if ((torch.version.hip is not None) and
+            is_rocm = True if ((torch.version.hip is not None) and
                                (ROCM_HOME is not None)) else False
+        except ImportError:
+            pass
+    return is_rocm
 
 
 def _get_cuda_home():
     if TORCH_VERSION == 'parrots':
         from parrots.utils.build_extension import CUDA_HOME
     else:
-        if is_rocm_pytorch:
+        if is_rocm_pytorch():
             from torch.utils.cpp_extension import ROCM_HOME
             CUDA_HOME = ROCM_HOME
         else:
@@ -86,7 +89,6 @@ def _get_norm():
     return _BatchNorm, _InstanceNorm, SyncBatchNorm_
 
 
-CUDA_HOME = _get_cuda_home()
 _ConvNd, _ConvTransposeMixin = _get_conv()
 DataLoader, PoolDataLoader = _get_dataloader()
 BuildExtension, CppExtension, CUDAExtension = _get_extension()