Hetu/python/hetu/gpu_links/CudnnAvgPoolLink.py

from __future__ import absolute_import

import ctypes
from .._base import _LIB
from .. import ndarray as _nd


def CuDNN_average_pooling2d(in_arr, kernel_H, kernel_W, pooled_layer, padding=0, stride=1, stream=None):
    assert isinstance(in_arr, _nd.NDArray)
    assert isinstance(pooled_layer, _nd.NDArray)
    _LIB.CuDNN_DLGpuAvgerage_Pooling2d(
        in_arr.handle, kernel_H, kernel_W, pooled_layer.handle, padding, stride, stream.handle if stream else None)


def CuDNN_average_pooling2d_gradient(in_arr_y, in_gradient_y, in_arr_x, kernel_H, kernel_W, out_gradient_x, padding=0, stride=1, stream=None):
    assert isinstance(in_arr_y, _nd.NDArray)
    assert isinstance(in_gradient_y, _nd.NDArray)
    assert isinstance(in_arr_x, _nd.NDArray)
    assert isinstance(out_gradient_x, _nd.NDArray)
    _LIB.CuDNN_DLGpuAvgerage_Pooling2d_gradient(
        in_arr_y.handle, in_gradient_y.handle, in_arr_x.handle, kernel_H, kernel_W, out_gradient_x.handle, padding, stride, stream.handle if stream else None)