16120dfa28abb4ee21d6beb04bf235633e413bfa,tests/windows_aggregator_grid_v2_test.py,GridSamplesAggregatorTest,test_init_2d_mo,#GridSamplesAggregatorTest#,412

Before Change

            while more_batch:
                out = sess.run(sampler.pop_batch_op())
                min_val = np.sum((np.asarray(out["image"]).flatten()))
                stats_val = [np.min(out), np.max(out), np.sum(out)]
                more_batch = aggregator.decode_batch(
                    {"window_image":out["image"], "csv_sum":min_val},
                    out["image_location"])

After Change

            while more_batch:
                out = sess.run(sampler.pop_batch_op())
                out_flatten = np.reshape(np.asarray(out["image"]), [10, -1])
                min_val = np.sum(np.reshape(np.asarray(out["image"]),
                                             [10,-1]),1)
                stats_val = np.concatenate([np.min(out_flatten,1,
                                                   keepdims=True), np.max(
                    out_flatten, 1,keepdims=True), np.sum(
                    out_flatten,1,keepdims=True)],1)
                more_batch = aggregator.decode_batch(

Instances