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fix(test): increase model dim for stable timing benchmark #84

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fix(test): increase model dim for stable timing benchmark #84

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14 changes: 7 additions & 7 deletions tests/api_tests/test_magi_compile.py
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Original file line number Diff line number Diff line change
Expand Up @@ -552,7 +552,7 @@ def test_simple_model_timing_class_function_instance_method(self):
class SimpleModel(nn.Module):
def __init__(self):
super().__init__()
self.dim = 128
self.dim = 1024
self.layers = nn.ModuleList([nn.Linear(self.dim, self.dim) for _ in range(4)])
self.norms = nn.ModuleList([nn.LayerNorm(self.dim) for _ in range(4)])

Expand All @@ -567,8 +567,8 @@ def forward(self, x: torch.Tensor) -> torch.Tensor:
return x

device = torch.device("cuda:0")
seq_len = 256
test_input = torch.randn(seq_len, 128, device=device)
seq_len = 512
test_input = torch.randn(seq_len, 1024, device=device)

native = SimpleModel().to(device).eval()

Expand Down Expand Up @@ -632,16 +632,16 @@ class CompiledNonModulePerf(NonModulePerf):
def forward(self, x: torch.Tensor) -> torch.Tensor:
return super().forward(x)

non_module_native = NonModulePerf(128)
non_module_native = NonModulePerf(1024)

non_module_cls = CompiledNonModulePerf(128)
non_module_cls = CompiledNonModulePerf(1024)
non_module_cls.copy_from(non_module_native)

non_module_inst_obj = NonModulePerf(128)
non_module_inst_obj = NonModulePerf(1024)
non_module_inst_obj.copy_from(non_module_native)
non_module_inst = magi_compile(non_module_inst_obj, dynamic_arg_dims={"x": 0})

non_module_mtd_obj = NonModulePerf(128)
non_module_mtd_obj = NonModulePerf(1024)
non_module_mtd_obj.copy_from(non_module_native)
non_module_mtd_obj.step = magi_compile(non_module_mtd_obj.step, dynamic_arg_dims={"x": 0})

Expand Down
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