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[hotfix] fix torch 2.0 compatibility (#4936)
* [hotfix] fix launch * [test] fix test gemini optim * [shardformer] fix vit
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@@ -43,7 +43,7 @@ def check_forward_backward(model_fn, data_gen_fn, output_transform_fn, loss_fn,
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grads_to_check = {}
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if (stage_manager is None or stage_manager.is_first_stage()) and booster.plugin.zero_stage == 0:
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if test_config["precision"] == "fp32":
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atol, rtol = 1e-5, 1e-3
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atol, rtol = 2e-5, 1e-3
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else:
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atol, rtol = 5e-3, 5e-3
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row_layer_grads = get_grad_tensors_for_check(
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@@ -62,7 +62,7 @@ def check_forward_backward(model_fn, data_gen_fn, output_transform_fn, loss_fn,
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# check last hidden state & loss
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if stage_manager is None or stage_manager.is_last_stage():
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if test_config["precision"] == "fp32":
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atol, rtol = 1e-5, 1e-3
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atol, rtol = 2e-3, 1e-3
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else:
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atol, rtol = 5e-3, 5e-3
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@@ -154,15 +154,6 @@ def run_vit_test(test_config):
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"precision": "fp32",
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"initial_scale": 1,
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},
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{
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"tp_size": 2,
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"pp_size": 2,
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"num_microbatches": 2,
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"enable_all_optimization": False,
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"use_lazy_init": False,
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"precision": "fp32",
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"initial_scale": 1,
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},
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],
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)
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def run_vit_3d_test(test_config):
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