Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[DOCS] Fix vta tutorial #4809

Merged
merged 1 commit into from
Feb 4, 2020
Merged

[DOCS] Fix vta tutorial #4809

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions tests/scripts/task_python_docs.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@ rm -rf docs/_build/html/javadoc

# remove stale tutorials and always build from scratch.
rm -rf docs/tutorials
rm -rf docs/vta/tutorials

# C++ doc
make doc
Expand Down
9 changes: 5 additions & 4 deletions vta/tutorials/autotvm/tune_relay_vta.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -165,7 +165,7 @@ def compile_network(env, target, model, start_pack, stop_pack):
# ----------------------------------
# key total free pending
# ----------------------------------
# pynq 6 6 0
# pynq 6 6 0
# rpi3b 11 11 0
# ----------------------------------
#
Expand Down Expand Up @@ -223,7 +223,7 @@ def compile_network(env, target, model, start_pack, stop_pack):
# .. note:: How to set tuning options
#
# In general, the default values provided here work well.
# If you have enough time budget, you can set :code:`n_trial`, :code:`early_stopping`
# If you have enough time budget, you can set :code:`n_trial`, :code:`early_stopping`
# to larger values, makes the tuning run for longer.
# If your device is under-powered or your conv2d operators are large, consider
# setting a longer timeout.
Expand Down Expand Up @@ -348,12 +348,13 @@ def tune_and_evaluate(tuning_opt):
# Perform task extraction on Relay program
print("Extract tasks...")
relay_prog, params = compile_network(env, target, network, start_pack, stop_pack)
tasks = autotvm.task.extract_from_program(func=relay_prog,
mod = relay.Module.from_expr(relay_prog)
tasks = autotvm.task.extract_from_program(mod,
params=params,
ops=(tvm.relay.op.nn.conv2d,),
target=target,
target_host=env.target_host)

# We should have extracted 10 convolution tasks
assert len(tasks) == 10
print("Extracted {} conv2d tasks:".format(len(tasks)))
Expand Down