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anijain2305/logs.py

Created April 10, 2024 22:59
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logs.py
@torch.compile(backend="eager")
def fn(x, y, d):
return x * y * d["foo"] * d["bar"]
V0410 15:48:57.778000 140318524949632 torch/_dynamo/guards.py:1785] [0/0] [__guards] GUARDS:
V0410 15:48:57.778000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] ___check_type_id(L['d'], 8833952) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.778000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] len(L['d']) == 2 # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] list(L['d'].keys()) == ['foo', 'bar'] # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] hasattr(L['x'], '_dynamo_dynamic_indices') == False # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] hasattr(L['y'], '_dynamo_dynamic_indices') == False # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] ___check_type_id(L['d']['bar'], 8842592) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] L['d']['bar'] == 2 # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] ___check_type_id(L['d']['foo'], 8842592) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] L['d']['foo'] == 4 # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:450 in init_ambient_guards
V0410 15:48:57.779000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[4], stride=[1]) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:48:57.780000 140318524949632 torch/_dynamo/guards.py:1803] [0/0] [__guards] check_tensor(L['y'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[4], stride=[1]) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1792] [0/0] [__guards] GUARDS:
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards]
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] TREE_GUARD_MANAGER:
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] +- RootGuardManager
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None # _dynamo/output_graph.py:450 in init_ambient_guards
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | +- GLOBAL_STATE: ___check_global_state()
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | +- DictSubclassGuardManager: source=L['d'], accessed_by=DictGetItemGuardAccessor(d)
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- KeyValueManager pair at index=0
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | +- KeyManager: GuardManager: source=list(L['d'].keys())[0]
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | | +- EQUALS_MATCH: list(L['d'].keys())[0] == 'foo' # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | +- ValueManager: GuardManager: source=L['d']['foo']
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | | +- EQUALS_MATCH: L['d']['foo'] == 4 # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- KeyValueManager pair at index=1
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | +- KeyManager: GuardManager: source=list(L['d'].keys())[1]
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | | +- EQUALS_MATCH: list(L['d'].keys())[1] == 'bar' # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | +- ValueManager: GuardManager: source=L['d']['bar']
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | | | +- EQUALS_MATCH: L['d']['bar'] == 2 # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | +- GuardManager: source=L['x'], accessed_by=DictGetItemGuardAccessor(x)
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['x'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[4], stride=[1]) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['x'], '_dynamo_dynamic_indices') == False # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['x'], L['y'])
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | +- GuardManager: source=L['y'], accessed_by=DictGetItemGuardAccessor(y)
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- TENSOR_MATCH: check_tensor(L['y'], Tensor, DispatchKeySet(CPU, BackendSelect, ADInplaceOrView, AutogradCPU), torch.float32, device=None, requires_grad=False, size=[4], stride=[1]) # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- NO_HASATTR: hasattr(L['y'], '_dynamo_dynamic_indices') == False # return x * y * d["foo"] * d["bar"] # examples/ord_dicts.py:24 in fn
V0410 15:49:41.607000 140481927914624 torch/_dynamo/guards.py:1769] [0/0] [__guards] | | +- NO_TENSOR_ALIASING: check_no_aliasing(L['x'], L['y'])
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