From 0314c38ecb359edb58641b5aa8269daf12c66da5 Mon Sep 17 00:00:00 2001 From: Michael <m.langguth@fz-juelich.de> Date: Sun, 30 May 2021 15:28:37 +0200 Subject: [PATCH] Change back to processing complete test dataset again in main_visualize_postprocess.py. --- .../main_scripts/main_visualize_postprocess.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/video_prediction_tools/main_scripts/main_visualize_postprocess.py b/video_prediction_tools/main_scripts/main_visualize_postprocess.py index 79430820..bc20fd94 100644 --- a/video_prediction_tools/main_scripts/main_visualize_postprocess.py +++ b/video_prediction_tools/main_scripts/main_visualize_postprocess.py @@ -70,7 +70,7 @@ class Postprocess(TrainModel): # configuration of basic evaluation self.eval_metrics = eval_metrics self.nboots_block = 1000 - self.block_length = 5 #* 24 # this corresponds to a block length of 7 days in case of hourly forecasts + self.block_length = 7 * 24 # this corresponds to a block length of 7 days in case of hourly forecasts # initialize evrything to get an executable Postprocess instance self.save_args_to_option_json() # create options.json-in results directory @@ -93,7 +93,7 @@ class Postprocess(TrainModel): self.cond_quantile_vars = self.init_cond_quantile_vars() # setup test dataset and model self.test_dataset, self.num_samples_per_epoch = self.setup_test_dataset() - self.num_samples_per_epoch = 100 + # self.num_samples_per_epoch = 100 # reduced number of epoch samples -> useful for testing self.sequence_length, self.context_frames, self.future_length = self.get_data_params() self.inputs, self.input_ts = self.make_test_dataset_iterator() # set-up model, its graph and do GPU-configuration (from TrainModel) -- GitLab