def test_resnet():
shape = {"data": (1, 3, 224, 224)}
for n in [18, 34, 50, 101]:
mx_sym = model_zoo.mx_resnet(n)
from_mx_sym, _ = relay.frontend.from_mxnet(mx_sym, shape=shape)
relay_sym = model_zoo.relay_resnet(n)
compare_graph(from_mx_sym, relay_sym)
def test_resnet():
shape = {"data": (1, 3, 224, 224)}
for n in [18, 34, 50, 101]:
mx_sym = model_zoo.mx_resnet(n)
mod, _ = relay.frontend.from_mxnet(mx_sym, shape=shape)
relay_mod = model_zoo.relay_resnet(n)
compare_graph(mod, relay_mod)
def test_forward_resnet():
for n in [18]:
mx_sym = model_zoo.mx_resnet(18)
verify_mxnet_frontend_impl(mx_sym)
def test_forward_resnet():
for n in [18]:
mx_sym = model_zoo.mx_resnet(18)
verify_mxnet_frontend_impl(mx_sym)
