def register_vta_tuning_tasks():
from tvm.autotvm.task.topi_integration import TaskExtractEnv, deserialize_args
@tvm.tag_scope(tag=topi.tag.ELEMWISE)
def my_clip(x, a_min, a_max):
"""Unlike topi's current clip, put min and max into two stages."""
const_min = tvm.const(a_min, x.dtype)
const_max = tvm.const(a_max, x.dtype)
x = tvm.compute(x.shape, lambda *i: tvm.min(x(*i), const_max), name="clipA")
x = tvm.compute(x.shape, lambda *i: tvm.max(x(*i), const_min), name="clipB")
return x
# init autotvm env to register VTA operator
TaskExtractEnv()
@autotvm.task.register("topi_nn_conv2d", override=True)
def _topi_nn_conv2d(*args, **kwargs):
assert not kwargs, "Do not support kwargs in template function call"
args = deserialize_args(args)
A, W = args[:2]
with tvm.target.vta():
res = topi.nn.conv2d(*args, **kwargs)
res = topi.right_shift(res, 8)
res = my_clip(res, 0, 127)
res = topi.cast(res, "int8")
if tvm.target.current_target().device_name == 'vta':
s = topi.generic.schedule_conv2d_nchw([res])
else:
s = tvm.create_schedule([res.op])
return s, [A, W, res]
results = verify_bitserial_conv2d_nhwc(log_file, batch, in_size, ic,
oc, k, stride, padding,
activation_bits, weight_bits,
in_dtype, pack_dtype, out_dtype,
parallel)
mean_ms = np.mean(results) * 1000
std_dev_ms = np.std(results) * 1000
print("Workload", w, " Average time", mean_ms, "ms", "std deviation",
std_dev_ms, "ms")
all_results[itr] = results
np.savetxt(raw_data, all_results)
if __name__ == "__main__":
# Convolutions layers of resent minus the first which is traditionally not binarized
TaskExtractEnv.get()
resnet_workload = [(1, 56, 64, 64, 3, 1, 'SAME'),
(1, 56, 64, 64, 1, 1, 'VALID'),
(1, 56, 64, 128, 3, 2, 'SAME'),
(1, 56, 64, 128, 1, 2, 'VALID'),
(1, 28, 128, 128, 3, 1, 'SAME'),
(1, 28, 128, 256, 3, 2, 'SAME'),
(1, 28, 128, 256, 1, 2, 'VALID'),
(1, 14, 256, 256, 3, 1, 'SAME'),
(1, 14, 256, 512, 3, 2, 'SAME'),
(1, 14, 256, 512, 1, 2, 'VALID'),
(1, 7, 512, 512, 3, 1, 'SAME')]
if args.first:
resnet_workload = resnet_workload = [resnet_workload[0]]
print("A", args.activation_bits, "W", args.weight_bits, sep='')
