tf.raw_ops.BiasAddGrad
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The backward operation for "BiasAdd" on the "bias" tensor.
tf.raw_ops.BiasAddGrad(
out_backprop, data_format='NHWC', name=None
)
It accumulates all the values from out_backprop into the feature dimension. For NHWC data format, the feature dimension is the last. For NCHW data format, the feature dimension is the third-to-last.
Args |
|---|
out_backprop | 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. |
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). |
Returns |
|---|
A Tensor. Has the same type as out_backprop. |
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Last updated 2024-04-26 UTC.
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