fused_matmul_bias¶

paddle.incubate.nn.functional. fused_matmul_bias ( x, y, bias=None, transpose_x=False, transpose_y=False, name=None ) [source]

Applies matrix multiplication of two tensors and then bias addition if provided. This method requires CUDA version >= 11.6.

Parameters

• x (Tensor) – the first input Tensor to be multiplied.

• y (Tensor) – the second input 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_x (bool) – Whether to transpose \(x\) before multiplication.

• transpose_y (bool) – Whether to transpose \(y\) before multiplication.

• name (str|None) – For detailed information, please refer to Name . Usually name is no need to set and None by default.

Returns

the output Tensor.

Return type

Tensor

Examples

# required: gpu
import paddle
from paddle.incubate.nn.functional import fused_matmul_bias

x = paddle.randn([3, 4])
y = paddle.randn([4, 5])
bias = paddle.randn([5])
out = fused_matmul_bias(x, y, bias)
print(out.shape) # [3, 5]