mindspore.amp

Loss Scale

`mindspore.amp.LossScaler`	Loss scaler abstract class when using mixed precision.
`mindspore.amp.DynamicLossScaler`	Dynamic Loss scale class.
`mindspore.amp.StaticLossScaler`	Static Loss scale class.
`mindspore.amp.LossScaleManager`	Loss scale (Magnification factor of gradients when mix precision is used) manager abstract class when using mixed precision.
`mindspore.amp.DynamicLossScaleManager`	Loss scale(Magnification factor of gradients when mix precision is used) manager with loss scale dynamically adjusted, inherits from `mindspore.amp.LossScaleManager`.
`mindspore.amp.FixedLossScaleManager`	Loss scale (Magnification factor of gradients when mix precision is used) manager with a fixed loss scale value, inherits from `mindspore.amp.LossScaleManager`.

`mindspore.amp.auto_mixed_precision`	Returns a network processed with auto mixed precision.
`mindspore.amp.build_train_network`	Build the mixed precision training cell automatically.
`mindspore.amp.custom_mixed_precision`	When the white_list is provided, primitives and cells in white_list will perform the precision conversion.
`mindspore.amp.get_black_list`	Provide a copy of internal black list used by auto mixed precision with amp_level set to `O2`.
`mindspore.amp.get_white_list`	Provide a copy of internal white list used by auto mixed precision with amp_level set to `O1`.

Returns a scalar Tensor indicating whether the inputs are finite.