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36 changes: 17 additions & 19 deletions tests/speed/autogram/grad_vs_jac_vs_gram.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,10 +10,11 @@
GroupNormMobileNetV3Small,
InstanceNormMobileNetV2,
InstanceNormResNet18,
ModuleFactory,
NoFreeParam,
ShapedModule,
SqueezeNet,
WithTransformerLarge,
get_in_out_shapes,
)
from utils.forward_backwards import (
autograd_forward_backward,
Expand All @@ -28,33 +29,30 @@
from torchjd.autogram import Engine

PARAMETRIZATIONS = [
(WithTransformerLarge, 8),
(FreeParam, 64),
(NoFreeParam, 64),
(Cifar10Model, 64),
(AlexNet, 8),
(InstanceNormResNet18, 16),
(GroupNormMobileNetV3Small, 16),
(SqueezeNet, 4),
(InstanceNormMobileNetV2, 2),
(ModuleFactory(WithTransformerLarge), 8),
(ModuleFactory(FreeParam), 64),
(ModuleFactory(NoFreeParam), 64),
(ModuleFactory(Cifar10Model), 64),
(ModuleFactory(AlexNet), 8),
(ModuleFactory(InstanceNormResNet18), 16),
(ModuleFactory(GroupNormMobileNetV3Small), 16),
(ModuleFactory(SqueezeNet), 4),
(ModuleFactory(InstanceNormMobileNetV2), 2),
]


def compare_autograd_autojac_and_autogram_speed(architecture: type[ShapedModule], batch_size: int):
input_shapes = architecture.INPUT_SHAPES
output_shapes = architecture.OUTPUT_SHAPES
def compare_autograd_autojac_and_autogram_speed(factory: ModuleFactory, batch_size: int):
model = factory()
input_shapes, output_shapes = get_in_out_shapes(model)
inputs = make_tensors(batch_size, input_shapes)
targets = make_tensors(batch_size, output_shapes)
loss_fn = make_mse_loss_fn(targets)

model = architecture().to(device=DEVICE)

A = Mean()
W = A.weighting

print(
f"\nTimes for forward + backward on {architecture.__name__} with BS={batch_size}, A={A}"
f" on {DEVICE}."
f"\nTimes for forward + backward on {factory} with BS={batch_size}, A={A}" f" on {DEVICE}."
)

def fn_autograd():
Expand Down Expand Up @@ -148,8 +146,8 @@ def time_call(fn, init_fn=noop, pre_fn=noop, post_fn=noop, n_runs: int = 10) ->


def main():
for architecture, batch_size in PARAMETRIZATIONS:
compare_autograd_autojac_and_autogram_speed(architecture, batch_size)
for factory, batch_size in PARAMETRIZATIONS:
compare_autograd_autojac_and_autogram_speed(factory, batch_size)
print("\n")


Expand Down
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