Source code for aitemplate.frontend.nn.conv2d.conv2d_bias_add_relu

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"""
General template module for conv2e + bias + residual + relu
"""
from aitemplate.frontend.nn.conv2d.common_conv2d_bias_add_act import Conv2dBiasAddAct


[docs]class Conv2dBiasAddRelu(Conv2dBiasAddAct): r"""Applies 2D convolution with bias + add + relu. Attributes: weight (Tensor): the learnable weights of the module of shape :math:`(\text{out_channels}, \text{kernel_size}, \text{kernel_size}, ` :math:`\frac{\text{in_channels}}{\text{groups}})`. bias (Tensor): the learnable bias of the module of shape (out_channels). Args: input (Tensor): the input tensor to apply 2D convolution on. residual (Tensor): the residule tensor to add after Conv2dBias. Examples:: >>> m = nn.Conv2dBiasAddRelu(128, 256, 3, 1) >>> input = Tensor(shape=[4, 28, 28, 128]) >>> residual = Tensor(shape=[4, 28, 28, 256]) >>> output = m(input, residual) """ def __init__( self, in_channels, out_channels, kernel_size, stride, padding=0, dilation=1, groups=1, dtype="float16", ): super().__init__( "conv2d_bias_add_relu", in_channels, out_channels, kernel_size, stride, padding, dilation, groups, dtype, )