Skip to content

[microNPU] Use TF reference kernels for codegen tests where possible #10762

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

Merged
AndrewZhaoLuo merged 1 commit into from
Mar 28, 2022
Merged

[microNPU] Use TF reference kernels for codegen tests where possible #10762

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
12 changes: 11 additions & 1 deletion tests/python/contrib/test_ethosu/infra.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@
the command stream and perform an equivalency check for single operator
test cases.
"""
from distutils.version import LooseVersion
from typing import List

import os
Expand Down Expand Up @@ -195,7 +196,16 @@ def generate_ref_data_tflite(model):
The random input data and generated output data are returned.
"""
expected_output_data = {}
interpreter = tf.lite.Interpreter(model_content=model)

# older versions of TFLite don't give access to reference kernels
if tf.__version__ < LooseVersion("2.5.0"):
interpreter = tf.lite.Interpreter(model_content=model)
else:
interpreter = tf.lite.Interpreter(
model_content=model,
experimental_op_resolver_type=tf.lite.experimental.OpResolverType.BUILTIN_REF,
)

interpreter.allocate_tensors()

input_details = interpreter.get_input_details()
Expand Down