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InstanceNorm2dLink.py 1.2 kB

5 years ago
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  1. from __future__ import absolute_import
  2. import ctypes
  3. from .._base import _LIB
  4. from .. import ndarray as _nd
  5. def instance_normalization2d(in_arr, mean, var, out_arr, eps, stream=None):
  6. assert isinstance(in_arr, _nd.NDArray)
  7. assert isinstance(mean, _nd.NDArray)
  8. assert isinstance(var, _nd.NDArray)
  9. assert isinstance(out_arr, _nd.NDArray)
  10. _LIB.DLGpuInstanceNormalization2d(in_arr.handle, mean.handle,
  11. var.handle, out_arr.handle, ctypes.c_float(eps), stream.handle if stream else None)
  12. def instance_normalization2d_gradient(out_grads, in_arr, grad_arr, mean_arr, var_arr, eps, stream=None):
  13. assert isinstance(out_grads, _nd.NDArray)
  14. assert isinstance(in_arr, _nd.NDArray)
  15. assert isinstance(grad_arr, _nd.NDArray)
  16. assert isinstance(mean_arr, _nd.NDArray)
  17. assert isinstance(var_arr, _nd.NDArray)
  18. _LIB.DLGpuInstanceNormalization2dGradient(out_grads.handle, in_arr.handle, grad_arr.handle,
  19. mean_arr.handle, var_arr.handle, ctypes.c_float(
  20. eps),
  21. stream.handle if stream else None)