Adds bias to value.
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.
Args |
|---|
value
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
Tensor. Must have the same type as value.
1-D with size the last dimension of value.
data_format
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
Returns | |
|---|---|
A Tensor. Has the same type as value.
|