nvidia.dali.fn.preemphasis_filter¶
-
nvidia.dali.fn.
preemphasis_filter
(*inputs, **kwargs)¶ Applies preemphasis filter to the input data.
This filter, in simple form, can be expressed by the formula:
Y[t] = X[t] - coeff * X[t-1] if t > 1 Y[t] = X[t] - coeff * X_border if t == 0
with
X
andY
being the input and output signal, respectively.The value of
X_border
depends on theborder
argument:X_border = 0 if border_type == 'zero' X_border = X[0] if border_type == 'clamp' X_border = X[1] if border_type == 'reflect'
- Supported backends
‘cpu’
‘gpu’
- Parameters
input (TensorList) – Input to the operator.
- Keyword Arguments
border (str, optional, default = ‘clamp’) – Border value policy. Possible values are "zero", "clamp", "reflect".
bytes_per_sample_hint (int or list of int, optional, default = [0]) –
Output size hint, in bytes per sample.
If specified, the operator’s outputs residing in GPU or page-locked host memory will be preallocated to accommodate a batch of samples of this size.
dtype (nvidia.dali.types.DALIDataType, optional, default = DALIDataType.FLOAT) – Data type for the output.
preemph_coeff (float or TensorList of float, optional, default = 0.97) – Preemphasis coefficient
coeff
.preserve (bool, optional, default = False) – Prevents the operator from being removed from the graph even if its outputs are not used.
seed (int, optional, default = -1) –
Random seed.
If not provided, it will be populated based on the global seed of the pipeline.