@hht
Thank you for your answer.
I used your code except uncomment the return so that I can tune.
It failed after the tune is done at lib.save(temp.relpath("graphlib.o"))
...
# We do not run the tuning in our webpage server since it takes too long.
# Comment the following line to run it by yourself.
return
# run tuning tasks
print("Tuning...")
tune_tasks(tasks, **tuning_opt)
# evaluate with tuning history
if env.TARGET != "sim":
# Get remote from fleet node
remote = autotvm.measure.request_remote(
env.TARGET, tracker_host, tracker_port, timeout=10000
)
# Reconfigure the JIT runtime and FPGA.
vta.reconfig_runtime(remote)
vta.program_fpga(remote, bitstream=None)
else:
# In simulation mode, host the RPC server locally.
remote = rpc.LocalSession()
# compile kernels with history best records
with autotvm.tophub.context(target, extra_files=[log_file]):
# Compile network
print("Compile...")
if target.device_name != "vta":
with tvm.transform.PassContext(opt_level=3, disabled_pass={"AlterOpLayout"}):
lib = relay.build(
relay_prog, target=target, params=params, target_host=env.target_host
)
else:
with vta.build_config(opt_level=3, disabled_pass={"AlterOpLayout"}):
lib = relay.build(
relay_prog, target=target, params=params, target_host=env.target_host
)
# Export library
print("Upload...")
temp = utils.tempdir()
lib.save(temp.relpath("graphlib.o")). <<<<< failed it here
remote.upload(temp.relpath("graphlib.o"))
lib = remote.load_module("graphlib.o")
# Generate the graph runtime
ctx = remote.ext_dev(0) if device == "vta" else remote.cpu(0)
m = graph_runtime.GraphModule(lib["default"](ctx))
# upload parameters to device
image = tvm.nd.array((np.random.uniform(size=(1, 3, 224, 224))).astype("float32"))
m.set_input("data", image)
# evaluate
print("Evaluate inference time cost...")
timer = m.module.time_evaluator("run", ctx, number=1, repeat=10)
tcost = timer()
prof_res = np.array(tcost.results) * 1000 # convert to millisecond
print(
"Mean inference time (std dev): %.2f ms (%.2f ms)"
% (np.mean(prof_res), np.std(prof_res))
)
Thought?
Thank you very much,
