brainstorm/handlers/base_handler.py
def conv2d_backward_batch(self, inputs, weights, padding, stride,
                              in_deltas, out_deltas, weight_deltas,
                              bias_deltas):
        """Computes the gradients for a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
            weight_deltas (array_type):
            bias_deltas (array_type):
        Returns:
            None
        """
Computes the gradients for a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
            weight_deltas (array_type):
            bias_deltas (array_type):
        Returns:
            None
        
Computes the gradients for a 2D convolution on a batch of images.
Computes the gradients for a 2D convolution on a batch of images .
def conv2d_backward_batch(self, inputs, weights, padding, stride,
                              in_deltas, out_deltas, weight_deltas,
                              bias_deltas):
def conv2d_backward_batch ( self , inputs , weights , padding , stride , in_deltas , out_deltas , weight_deltas , bias_deltas ) :
Computes the gradients for a 2D convolution on a batch of images.
Computes the gradients for a 2D convolution on a batch of images .
"""Computes the gradients for a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            padding (int):
            stride (tuple[int]):
            in_deltas (array_type):
            out_deltas (array_type):
            weight_deltas (array_type):
            bias_deltas (array_type):
        Returns:
            None
        """
None
self
inputs
None
weights
None
padding
None
stride
None
in_deltas
None
out_deltas
None
weight_deltas
None
bias_deltas
None