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- from __future__ import absolute_import
-
- import ctypes
- from .._base import _LIB
- from .. import ndarray as _nd
-
-
- def instance_normalization2d(in_arr, mean, var, out_arr, eps, stream=None):
- assert isinstance(in_arr, _nd.NDArray)
- assert isinstance(mean, _nd.NDArray)
- assert isinstance(var, _nd.NDArray)
- assert isinstance(out_arr, _nd.NDArray)
- _LIB.DLGpuInstanceNormalization2d(in_arr.handle, mean.handle,
- var.handle, out_arr.handle, ctypes.c_float(eps), stream.handle if stream else None)
-
-
- def instance_normalization2d_gradient(out_grads, in_arr, grad_arr, mean_arr, var_arr, eps, stream=None):
- assert isinstance(out_grads, _nd.NDArray)
- assert isinstance(in_arr, _nd.NDArray)
- assert isinstance(grad_arr, _nd.NDArray)
- assert isinstance(mean_arr, _nd.NDArray)
- assert isinstance(var_arr, _nd.NDArray)
- _LIB.DLGpuInstanceNormalization2dGradient(out_grads.handle, in_arr.handle, grad_arr.handle,
- mean_arr.handle, var_arr.handle, ctypes.c_float(
- eps),
- stream.handle if stream else None)
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