GluonTS import updates (#106)

* GluonTS import updates

* drop freq argument

see https://github.com/awslabs/gluon-ts/pull/1997

pts/model/deepar/deepar_estimator.py

@@ -28,7 +28,7 @@ from gluonts.transform import (
 )
 from gluonts.torch.util import copy_parameters
 from gluonts.torch.model.predictor import PyTorchPredictor
-from gluonts.torch.modules.distribution_output import DistributionOutput
+from gluonts.torch.distributions.distribution_output import DistributionOutput
 from gluonts.model.predictor import Predictor
 
 from pts.model.utils import get_module_forward_input_names
@@ -258,7 +258,7 @@ class DeepAREstimator(PyTorchEstimator):
             input_names=input_names,
             prediction_net=prediction_network,
             batch_size=self.trainer.batch_size,
-            freq=self.freq,
+            #freq=self.freq,
             prediction_length=self.prediction_length,
             device=device,
         )

pts/model/deepar/deepar_network.py

@@ -6,7 +6,7 @@ import torch.nn as nn
 from torch.distributions import Distribution
 
 from gluonts.core.component import validated
-from gluonts.torch.modules.distribution_output import DistributionOutput
+from gluonts.torch.distributions.distribution_output import DistributionOutput
 from pts.model import weighted_average
 from pts.modules import MeanScaler, NOPScaler, FeatureEmbedder
 

pts/modules/distribution_output.py

@@ -31,7 +31,7 @@ from pts.distributions import (
     TransformedImplicitQuantile,
 )
 from gluonts.core.component import validated
-from gluonts.torch.modules.distribution_output import (
+from gluonts.torch.distributions.distribution_output import (
     DistributionOutput,
     LambdaLayer,
     PtArgProj,