def plot_resnet34_structured_B_epoch_for_epoch_core():
common.epoch_for_epoch_plot(network=common.RESNET34,
is_iterative=False,
prune_method=common.STRUCTURED_B,
nbins=5,
nybins=5,
min_max_y=(-0.05, 0.01),
to_ignore=['lr_lottery', 'reinit'])
def plot_gnmt_sparse_oneshot_epoch_for_epoch_core():
common.epoch_for_epoch_plot(
network=common.GNMT,
is_iterative=False,
prune_method=common.UNSTRUCTURED,
min_max_y=(-8, 1.5),
to_ignore=['lr_lottery', 'reinit'],
nbins=6,
nybins=6,
)
def plot_resnet50_sparse_oneshot_epoch_for_epoch_core():
common.epoch_for_epoch_plot(
network=common.RESNET50,
is_iterative=False,
prune_method=common.UNSTRUCTURED,
min_max_y=(-0.06, 0.01),
to_ignore=['lr_lottery', 'reinit'],
nbins=5,
nybins=5,
)
def plot_resnet34_structured_B_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET34,
is_iterative=False,
prune_method=common.STRUCTURED_B,
min_max_y=(-0.05, 0.01),
comparison_points=[(0, .7255 - .7331),
(90 * .3154121864, .7291 - .7331)],
comparison_label=common.RETHINKING,
)
def plot_resnet34_structured_A_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET34,
is_iterative=False,
prune_method=common.STRUCTURED_A,
min_max_y=(-0.05, 0.01),
comparison_points=[(0, .7277 - .7331),
(90 * .1819645733, .7303 - .7331)],
comparison_label=common.RETHINKING,
nbins=5,
)
def plot_resnet110_structured_B_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET110,
is_iterative=False,
prune_method=common.STRUCTURED_B,
min_max_y=(-0.03, 0.01),
comparison_points=[(0, 0.9289 - 0.9314),
(160 * .6272741807, 0.9360 - 0.9314)],
comparison_err=[0.0043, 0.0025],
comparison_label=common.RETHINKING,
)
def plot_resnet110_structured_A_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET110,
is_iterative=False,
prune_method=common.STRUCTURED_A,
min_max_y=(-0.03, 0.01),
comparison_points=[(0, 0.9325 - 0.9314),
(160 * .1882836396, 0.9322 - 0.9314)],
comparison_err=[0.0029, 0.0022],
comparison_label=common.RETHINKING,
)
def plot_resnet56_structured_B_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET56,
is_iterative=False,
prune_method=common.STRUCTURED_B,
min_max_y=(-0.03, 0.01),
comparison_points=[(0, 0.9254 - 0.9314),
(160 * .3791088785, 0.9305 - 0.9314)],
comparison_err=[0.0019, 0.0018],
comparison_label=common.RETHINKING,
)
def plot_resnet56_structured_A_epoch_for_epoch():
common.epoch_for_epoch_plot(
network=common.RESNET56,
is_iterative=False,
prune_method=common.STRUCTURED_A,
min_max_y=(-0.03, 0.01),
comparison_points=[(0, 0.9296 - 0.9314),
(160 * .1156411502, 0.9309 - 0.9314)],
comparison_err=[0.0026, 0.0014],
comparison_label=common.RETHINKING,
)
def plot_resnet110_structured_A_epoch_for_epoch_core():
common.epoch_for_epoch_plot(network=common.RESNET110,
is_iterative=False,
prune_method=common.STRUCTURED_A,
min_max_y=(-0.03, 0.01),
to_ignore=['lr_lottery', 'reinit'])
def plot_gnmt_sparse_iterative_epoch_for_epoch():
common.epoch_for_epoch_plot(network=common.GNMT,
is_iterative=True,
prune_method=common.UNSTRUCTURED,
min_max_y=(-6, 1.5))
def plot_resnet50_sparse_iterative_epoch_for_epoch():
common.epoch_for_epoch_plot(network=common.RESNET50,
is_iterative=True,
prune_method=common.UNSTRUCTURED,
min_max_y=(-0.05, 0.01))
def plot_resnet110_sparse_oneshot_epoch_for_epoch():
common.epoch_for_epoch_plot(network=common.RESNET110,
is_iterative=False,
prune_method=common.UNSTRUCTURED,
min_max_y=(-0.03, 0.01))
