Skip to content

[onnx] Relax tolerance for qlinearleakyrelu test #11042

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
Apr 26, 2022
Merged

[onnx] Relax tolerance for qlinearleakyrelu test #11042

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: 9 additions & 3 deletions tests/python/frontend/onnx/test_forward.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,9 @@ def verify_with_ort(
)


def quantize_and_verify_with_ort(onnx_model, input_names, input_shapes, target, dev):
def quantize_and_verify_with_ort(
onnx_model, input_names, input_shapes, target, dev, rtol=1e-5, atol=1e-5
):
from onnxruntime.quantization import CalibrationDataReader, QuantType, quantize_static

input_arrays = [np.random.random(shape).astype("float32") for shape in input_shapes]
Expand Down Expand Up @@ -258,7 +260,7 @@ def get_next(self):
# opt_level=1 will cause error with qnn lowering
model = onnx.load(model_quant)
verify_with_ort_with_inputs(
model, input_arrays, opt_level=2, target=target, dev=dev, use_vm=True
model, input_arrays, opt_level=2, target=target, dev=dev, use_vm=True, rtol=rtol, atol=atol
)


Expand Down Expand Up @@ -5969,7 +5971,11 @@ def verify_qlinearleakyrelu(inshape, kwargs):
outputs=[helper.make_tensor_value_info("Y", TensorProto.FLOAT, list(in_array.shape))],
)
model = helper.make_model(graph, producer_name="qlinearRelu_test")
quantize_and_verify_with_ort(model, ["X"], [in_array.shape], target, dev)
args = (model, ["X"], [in_array.shape], target, dev)
if dev == "cuda":
quantize_and_verify_with_ort(*args, rtol=1e-2, atol=1e-2)
else:
quantize_and_verify_with_ort(*args)

verify_qlinearleakyrelu([2, 4, 5, 6], {"alpha": 0.25})
verify_qlinearleakyrelu([6, 5, 6, 7], {"alpha": 0.35})
Expand Down