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# Copyright (c) 2021, Xilinx
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of FINN nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import pkg_resources as pk
import pytest
import os
import shutil
import subprocess
import wget
import finn.builder.build_dataflow as build
import finn.builder.build_dataflow_config as build_cfg
from finn.util.basic import make_build_dir
from finn.util.test import get_build_env, load_test_checkpoint_or_skip
target_clk_ns = 10
build_kind = "zynq"
build_dir = os.environ["FINN_BUILD_DIR"]
onnx_zip_url = "https://github.com/Xilinx/finn-examples"
onnx_zip_url += "/releases/download/v0.0.1a/onnx-models-bnn-pynq.zip"
onnx_zip_local = build_dir + "/onnx-models-bnn-pynq.zip"
onnx_dir_local = build_dir + "/onnx-models-bnn-pynq"
mnist_url = "https://raw.githubusercontent.com/fgnt/mnist/master"
mnist_local = build_dir + "/mnist"
mnist_files = [
"train-images-idx3-ubyte.gz",
"train-labels-idx1-ubyte.gz",
"t10k-images-idx3-ubyte.gz",
"t10k-labels-idx1-ubyte.gz",
]
def get_checkpoint_name(step):
if step == "build":
# checkpoint for build step is an entire dir
return build_dir + "/end2end_ext_weights_build"
elif step == "download":
return onnx_dir_local + "/tfc-w1a1.onnx"
else:
# other checkpoints are onnx files
return build_dir + "/end2end_ext_weights_%s.onnx" % (step)
def test_end2end_ext_weights_download():
if not os.path.isfile(onnx_zip_local):
wget.download(onnx_zip_url, out=onnx_zip_local)
assert os.path.isfile(onnx_zip_local)
subprocess.check_output(["unzip", "-o", onnx_zip_local, "-d", onnx_dir_local])
assert os.path.isfile(get_checkpoint_name("download"))
@pytest.mark.slow
@pytest.mark.vivado
def test_end2end_ext_weights_build():
model_file = get_checkpoint_name("download")
load_test_checkpoint_or_skip(model_file)
build_env = get_build_env(build_kind, target_clk_ns)
folding_config_file = pk.resource_filename(
"finn.qnn-data", "test_ext_weights/tfc-w1a1-extw.json"
)
output_dir = make_build_dir("test_end2end_ext_weights_build")
cfg = build.DataflowBuildConfig(
output_dir=output_dir,
folding_config_file=folding_config_file,
synth_clk_period_ns=target_clk_ns,
board=build_env["board"],
shell_flow_type=build_cfg.ShellFlowType.VIVADO_ZYNQ,
generate_outputs=[
build_cfg.DataflowOutputType.ESTIMATE_REPORTS,
build_cfg.DataflowOutputType.BITFILE,
build_cfg.DataflowOutputType.PYNQ_DRIVER,
build_cfg.DataflowOutputType.DEPLOYMENT_PACKAGE,
],
)
build.build_dataflow_cfg(model_file, cfg)
assert os.path.isfile(output_dir + "/deploy/bitfile/finn-accel.bit")
assert os.path.isfile(output_dir + "/deploy/bitfile/finn-accel.hwh")
assert os.path.isfile(output_dir + "/deploy/driver/driver.py")
assert os.path.isfile(output_dir + "/deploy/driver/runtime_weights/idma0.npy")
if os.path.isdir(get_checkpoint_name("build")):
shutil.rmtree(get_checkpoint_name("build"))
shutil.copytree(output_dir + "/deploy", get_checkpoint_name("build"))
@pytest.mark.board
def test_end2end_ext_weights_dataset():
# make sure we have local copies of mnist dataset files
subprocess.check_output(["mkdir", "-p", mnist_local])
for f in mnist_files:
if not os.path.isfile(mnist_local + "/" + f):
wget.download(mnist_url + "/" + f, out=mnist_local + "/" + f)
assert os.path.isfile(mnist_local + "/" + f)
# rsync to board
build_env = get_build_env(build_kind, target_clk_ns)
mnist_target = "%s@%s:%s" % (build_env["username"], build_env["ip"], "/tmp/")
rsync_dataset_cmd = ["rsync", "-rv", mnist_local + "/", mnist_target]
subprocess.check_output(rsync_dataset_cmd)
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def test_end2end_ext_weights_run_on_hw():
build_env = get_build_env(build_kind, target_clk_ns)
deploy_dir = get_checkpoint_name("build")
if not os.path.isdir(deploy_dir):
pytest.skip(deploy_dir + " not found from previous test step, skipping")
driver_dir = deploy_dir + "/driver"
assert os.path.isdir(driver_dir)
# create a shell script for running validation: 10 batches x 10 imgs
with open(driver_dir + "/validate.sh", "w") as f:
f.write(
"""#!/bin/bash
cd %s/driver
echo %s | sudo -S python3.6 validate.py --dataset mnist --bitfile %s
"""
% (
build_env["target_dir"] + "/end2end_ext_weights_build",
build_env["password"],
"../bitfile/finn-accel.bit",
)
)
# set up rsync command
remote_target = "%s@%s:%s" % (
build_env["username"],
build_env["ip"],
build_env["target_dir"],
)
rsync_res = subprocess.run(["rsync", "-avz", deploy_dir, remote_target])
assert rsync_res.returncode == 0
remote_verif_cmd = [
"ssh",
"%s@%s" % (build_env["username"], build_env["ip"]),
"sh",
build_env["target_dir"] + "/end2end_ext_weights_build/driver/validate.sh",
]
verif_res = subprocess.run(
remote_verif_cmd,
stdout=subprocess.PIPE,
universal_newlines=True,
input=build_env["password"],
)
assert verif_res.returncode == 0
log_output = verif_res.stdout.split("\n")
assert log_output[-3] == "batch 100 / 100 : total OK 9296 NOK 704"
assert log_output[-2] == "Final accuracy: 92.960000"