- paddle.incubate.nn.functional. fused_linear ( x, weight, bias=None, transpose_weight=False, name=None )
Fully-connected linear transformation operator. This method requires CUDA version >= 11.6.
x (Tensor) – the input Tensor to be multiplied.
weight (Tensor) – the weight Tensor to be multiplied. Its rank must be 2.
bias (Tensor|None) – the input bias Tensor. If it is None, no bias addition would be performed. Otherwise, the bias is added to the matrix multiplication result.
transpose_weight (bool) – Whether to transpose \(weight\) before multiplication.
name (str|None) – For detailed information, please refer to Name . Usually name is no need to set and None by default.
the output Tensor.
- Return type
# required: gpu import paddle from paddle.incubate.nn.functional import fused_linear x = paddle.randn([3, 4]) weight = paddle.randn([4, 5]) bias = paddle.randn() out = fused_linear(x, weight, bias) print(out.shape) # [3, 5]