outdir = master_settings["outdir"]
attack_type = os.path.basename(__file__).replace(".py", "")
outdir = os.path.join(outdir, attack_type)
outdir = os.path.join(outdir, "confidence/adaptive-kappa/")
outdir = os.path.join(outdir, "{}/".format(align))
outdir = os.path.join(outdir, "{}/".format(decoder))
outdir = os.path.join(outdir, "{}/".format(kappa))
master_settings["outdir"] = outdir
batch_gen = data.ingress.etl.batch_generators.PATH_GENERATORS[align](
master_settings)
default_manager(
master_settings,
create_attack_graph,
batch_gen,
)
log("Finished run.")
if __name__ == '__main__':
extra_args = {
"kappa": [float, 0.25, False, None],
}
args(attack_run, extra_args)
outdir = os.path.join(outdir, attack_type)
outdir = os.path.join(outdir, "confidence/logprobs-greedydiff/")
outdir = os.path.join(outdir, "{}/".format(align))
outdir = os.path.join(outdir, "{}/".format(decoder))
outdir = os.path.join(outdir, "{}/".format(loss))
outdir = os.path.join(outdir, "{}/".format(kappa))
master_settings["outdir"] = outdir
batch_gen = data.ingress.etl.batch_generators.PATH_GENERATORS[align](
master_settings)
manager(
master_settings,
create_attack_graph,
batch_gen,
results_extract_fn=custom_extract_results,
results_transform_fn=data.egress.transform.unbounded_gen,
)
log("Finished run.")
if __name__ == '__main__':
extra_args = {
"loss": [str, "fwd", False, LOSS_CHOICES.keys()],
"kappa": [float, 2.0, False, None],
}
args(attack_run, additional_args=extra_args)
model = DeepSpeech.Model(sess,
audios_ph,
batch,
decoder=settings["decoder"],
beam_width=settings["beam_width"])
# hacky
model.feeds = feeds
return model
def attack_run(master_settings):
batch_gen = data.ingress.etl.batch_generators.standard(master_settings)
custom_manager(
master_settings,
create_validation_graph,
batch_gen,
)
log("Finished all runs.")
if __name__ == '__main__':
log("", wrap=True)
args(attack_run)
