gluonts.mx.representation.binning_helpers module¶
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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.
in_data, out_data, in_grad, aux (out_grad,) – input and output for backward. See document for corresponding arguments of Operator::Backward
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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.
out_data, aux (in_data,) – input, output, and auxiliary states for forward. See document for corresponding arguments of Operator::Forward
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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.
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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.
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