gluonts.mx.representation.binning_helpers module#
- class gluonts.mx.representation.binning_helpers.Digitize[source]#
Bases:
mxnet.operator.CustomOp- backward(req, out_grad, in_data, out_data, in_grad, aux)[source]#
Backward interface. Can override when creating new operators.
- Parameters
req (list of str) – how to assign to in_grad. can be ‘null’, ‘write’, or ‘add’. You can optionally use self.assign(dst, req, src) to handle this.
out_grad (list of NDArrays) – input and output for backward. See document for corresponding arguments of Operator::Backward
in_data (list of NDArrays) – input and output for backward. See document for corresponding arguments of Operator::Backward
out_data (list of NDArrays) – input and output for backward. See document for corresponding arguments of Operator::Backward
in_grad (list of NDArrays) – input and output for backward. See document for corresponding arguments of Operator::Backward
aux (list of NDArrays) – input and output for backward. See document for corresponding arguments of Operator::Backward
- forward(is_train, req, in_data, out_data, aux)[source]#
Forward interface. Can override when creating new operators.
- Parameters
is_train (bool) – whether this is for training
req (list of str) – how to assign to out_data. can be ‘null’, ‘write’, or ‘add’. You can optionally use self.assign(dst, req, src) to handle this.
in_data (list of NDArrays) – input, output, and auxiliary states for forward. See document for corresponding arguments of Operator::Forward
out_data (list of NDArrays) – input, output, and auxiliary states for forward. See document for corresponding arguments of Operator::Forward
aux (list of NDArrays) – input, output, and auxiliary states for forward. See document for corresponding arguments of Operator::Forward
- class gluonts.mx.representation.binning_helpers.DigitizeProp[source]#
Bases:
mxnet.operator.CustomOpProp- create_operator(ctx, in_shapes, in_dtypes)[source]#
Create an operator that carries out the real computation given the context, input shapes, and input data types.
- infer_shape(in_shapes)[source]#
infer_shape interface. Can override when creating new operators.
- Parameters
in_shape (list) – List of argument shapes in the same order as declared in list_arguments.
- Returns
in_shape (list) – List of argument shapes. Can be modified from in_shape.
out_shape (list) – List of output shapes calculated from in_shape, in the same order as declared in list_outputs.
aux_shape (Optional, list) – List of aux shapes calculated from in_shape, in the same order as declared in list_auxiliary_states.