tf.raw_ops.BiasAdd

Adds bias to value.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.BiasAdd

 
tf.raw_ops.BiasAdd(
    value, bias, data_format='NHWC', name=None
)

This is a special case of tf.add where bias is restricted to be 1-D. Broadcasting is supported, so value may have any number of dimensions.

value A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64. Any number of dimensions.
bias A Tensor. Must have the same type as value. 1-D with size the last dimension of value.
data_format An optional string from: "NHWC", "NCHW". Defaults to "NHWC". Specify the data format of the input and output data. With the default format "NHWC", the bias tensor will be added to the last dimension of the value tensor. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width]. The tensor will be added to "in_channels", the third-to-the-last dimension.
name A name for the operation (optional).

A Tensor. Has the same type as value.