brainstorm/handlers/base_handler.py
def conv2d_forward_batch(self, inputs, weights, bias, outputs,
                             padding, stride):
        """Performs a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            bias (array_type):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
        Returns:
            None
        """
Performs a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            bias (array_type):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
        Returns:
            None
        
Performs a 2D convolution on a batch of images.
Performs a 2D convolution on a batch of images .
def conv2d_forward_batch(self, inputs, weights, bias, outputs,
                             padding, stride):
def conv2d_forward_batch ( self , inputs , weights , bias , outputs , padding , stride ) :
Performs a 2D convolution on a batch of images.
Performs a 2D convolution on a batch of images .
"""Performs a 2D convolution on a batch of images.

        Args:
            inputs (array_type):
            weights (array_type):
            bias (array_type):
            outputs (array_type):
            padding (int):
            stride (tuple[int]):
        Returns:
            None
        """
None
self
inputs
None
weights
None
bias
None
outputs
None
padding
None
stride
None