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, optional) – the input bias Tensor. If it is None, no bias addition would be performed. Otherwise, the bias is added to the matrix multiplication result. Default: None.

• transpose_x (bool, optional) – Whether to transpose \(x\) before multiplication. Default: False.

• transpose_y (bool, optional) – Whether to transpose \(y\) before multiplication. Default: False.

• name (str, optional) – 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

>>> 
>>> 
>>> import paddle
>>> from paddle.incubate.nn.functional import fused_matmul_bias

>>> paddle.set_device('gpu')
>>> x = paddle.randn([3, 5])
>>> y = paddle.randn([4, 5])
>>> bias = paddle.randn([5])
>>> out = fused_matmul_bias(x, y, bias)
>>> print(out.shape)
[3, 5]