brainstorm/handlers/base_handler.py
def avgpool2d_backward_batch(self, inputs, window, outputs, padding,
                                 stride, in_deltas, out_deltas):
        """Computes the gradients for 2D average-pooling on a batch of images.

        Args:
            inputs (array_type):
            window (tuple[int]):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
        Returns:
            None
        """
Computes the gradients for 2D average-pooling on a batch of images.

        Args:
            inputs (array_type):
            window (tuple[int]):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
        Returns:
            None
        
Computes the gradients for 2D average-pooling on a batch of images.
Computes the gradients for 2D average - pooling on a batch of images .
def avgpool2d_backward_batch(self, inputs, window, outputs, padding,
                                 stride, in_deltas, out_deltas):
def avgpool2d_backward_batch ( self , inputs , window , outputs , padding , stride , in_deltas , out_deltas ) :
Computes the gradients for 2D average-pooling on a batch of images.
Computes the gradients for 2D average - pooling on a batch of images .
"""Computes the gradients for 2D average-pooling on a batch of images.

        Args:
            inputs (array_type):
            window (tuple[int]):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
        Returns:
            None
        """
None
self
inputs
None
window
None
outputs
None
padding
None
stride
None
in_deltas
None
out_deltas
None