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[Time-Series] fix past_observed_mask type #22076

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merged 1 commit into from
Apr 3, 2023
Merged

[Time-Series] fix past_observed_mask type #22076

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2 changes: 1 addition & 1 deletion tests/models/informer/test_modeling_informer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,7 +117,7 @@ def prepare_informer_inputs_dict(self, config):

past_time_features = floats_tensor([self.batch_size, _past_length, config.num_time_features])
past_values = floats_tensor([self.batch_size, _past_length])
past_observed_mask = floats_tensor([self.batch_size, _past_length])
past_observed_mask = floats_tensor([self.batch_size, _past_length]) > 0.5

# decoder inputs
future_time_features = floats_tensor([self.batch_size, config.prediction_length, config.num_time_features])
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2 changes: 1 addition & 1 deletion tests/models/time_series_transformer/test_modeling_time_series_transformer.py
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Expand Up @@ -114,7 +114,7 @@ def prepare_time_series_transformer_inputs_dict(self, config):

past_time_features = floats_tensor([self.batch_size, _past_length, config.num_time_features])
past_values = floats_tensor([self.batch_size, _past_length])
past_observed_mask = floats_tensor([self.batch_size, _past_length])
past_observed_mask = floats_tensor([self.batch_size, _past_length]) > 0.5

# decoder inputs
future_time_features = floats_tensor([self.batch_size, config.prediction_length, config.num_time_features])
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