release code

Dassl.ProGrad.pytorch/configs/trainers/da/source_only/digit5.yaml

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+DATALOADER:
+  TRAIN_X:
+    BATCH_SIZE: 256
+  TEST:
+    BATCH_SIZE: 256
+
+OPTIM:
+  NAME: "sgd"
+  LR: 0.05
+  STEPSIZE: [30]
+  MAX_EPOCH: 30
+  LR_SCHEDULER: "cosine"

Dassl.ProGrad.pytorch/configs/trainers/da/source_only/mini_domainnet.yaml

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+DATALOADER:
+  NUM_WORKERS: 8
+  TRAIN_X:
+    BATCH_SIZE: 128
+  TEST:
+    BATCH_SIZE: 128
+
+OPTIM:
+  NAME: "sgd"
+  LR: 0.005
+  MAX_EPOCH: 60
+  LR_SCHEDULER: "cosine"

Dassl.ProGrad.pytorch/configs/trainers/da/source_only/office31.yaml

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+DATALOADER:
+  TRAIN_X:
+    BATCH_SIZE: 32
+  TEST:
+    BATCH_SIZE: 32
+
+OPTIM:
+  NAME: "sgd"
+  LR: 0.002
+  STEPSIZE: [20]
+  MAX_EPOCH: 20

Dassl.ProGrad.pytorch/configs/trainers/da/source_only/visda17.yaml

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+DATALOADER:
+  TRAIN_X:
+    BATCH_SIZE: 32
+  TEST:
+    BATCH_SIZE: 32
+
+OPTIM:
+  NAME: "sgd"
+  LR: 0.0001
+  STEPSIZE: [2]
+  MAX_EPOCH: 2
+
+TRAIN:
+  PRINT_FREQ: 50
+  COUNT_ITER: "train_u"