Upload apex-master/tests/distributed/amp_master_params/compare.py with huggingface_hub

apex-master/tests/distributed/amp_master_params/compare.py

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+import torch
+
+model_params_rank0 = torch.load("rank0model.pth",
+                           map_location = lambda storage, loc: storage.cuda(0))
+model_params_rank1 = torch.load("rank1model.pth",
+                                 map_location = lambda storage, loc: storage.cuda(0))
+master_params_rank0 = torch.load("rank0master.pth",
+                                 map_location = lambda storage, loc: storage.cuda(0))
+master_params_rank1 = torch.load("rank1master.pth",
+                                 map_location = lambda storage, loc: storage.cuda(0))
+
+for model_rank0, model_rank1, master_rank0, master_rank1 in zip(
+        model_params_rank0,
+        model_params_rank1,
+        master_params_rank0,
+        master_params_rank1):
+    assert torch.allclose(model_rank0, model_rank1), "Model param mismatch"
+    assert torch.allclose(master_rank0, master_rank1), "Master param mismatch"
+    # Some debugging/investigation assistance code:
+    # maxval, maxind = torch.max(((torch.abs(model_rank0).float())/torch.abs(master_rank0)).view(-1), 0)
+    # offending_val_half = model_rank0.view(-1)[maxind.item()]
+    # offending_val_float = master_rank0.view(-1)[maxind.item()]
+    # print(maxval.item(), maxind.item(), offending_val_half.item(), offending_val_float.item(),
+    #       offending_val_float.half().item())
+    # rtol needs to be > 2^-11 because of denormals...
+    assert torch.allclose(model_rank0, master_rank0.half(), rtol=.005), "Model-master mismatch"
+
+print("OK:  Model and master params match across ranks.")