Caffe2 - Python API
A deep learning, cross platform ML framework
caffe2.python.modeling.gradient_clipping.GradientClipping Member List

This is the complete list of members for caffe2.python.modeling.gradient_clipping.GradientClipping, including all inherited members.

__call__(self, net, init_net=None, grad_map=None, blob_to_device=None) (defined in caffe2.python.modeling.net_modifier.NetModifier)caffe2.python.modeling.net_modifier.NetModifier
__init__(self, grad_clip_method, clip_norm_type, clip_threshold, use_parameter_norm=False, compute_norm_ratio=False)caffe2.python.modeling.gradient_clipping.GradientClipping
__init__(self) (defined in caffe2.python.modeling.net_modifier.NetModifier)caffe2.python.modeling.net_modifier.NetModifier
BY_NORM (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClippingstatic
CLIP_GRADIENT_NORM_TYPES (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClippingstatic
clip_norm_type (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping
clip_threshold (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping
compute_norm_ratio (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping
grad_clip_method (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping
GRAD_CLIP_METHODS (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClippingstatic
L1_NORM (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClippingstatic
L2_NORM (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClippingstatic
modify_net(self, net, init_net=None, grad_map=None, blob_to_device=None) (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping
use_parameter_norm (defined in caffe2.python.modeling.gradient_clipping.GradientClipping)caffe2.python.modeling.gradient_clipping.GradientClipping