Make keras2onnx tests deterministic (#1571)

Signed-off-by: Tom Wildenhain <[email protected]>

Co-authored-by: Guenther Schmuelling <[email protected]>

Author: TomWildenhain-Microsoft

keras2onnx_tests/conftest.py

@@ -3,6 +3,8 @@
 import os
 import pytest
 
+import numpy as np
+
 from mock_keras2onnx.proto import keras
 from test_utils import run_onnx_runtime
 
@@ -11,6 +13,7 @@
 
 @pytest.fixture(scope='function')
 def runner():
+    np.random.seed(42)
     model_files = []
 
     def runner_func(*args, **kwargs):
@@ -23,7 +26,6 @@ def runner_func(*args, **kwargs):
 
     # Provide wrapped run_onnx_runtime function
     yield runner_func
-
     # Remove model files
     for fl in model_files:
         os.remove(fl)

keras2onnx_tests/test_layers.py

@@ -1030,7 +1030,7 @@ def test_dense_add(runner):
 def test_conv_add(runner):
     input1 = Input(shape=(10, 10, 1))
     x1 = Conv2D(32, strides=(2, 2), kernel_size=3,
-                bias_initializer=keras.initializers.RandomNormal(mean=0.0, stddev=0.05, seed=None))(input1)
+                bias_initializer=keras.initializers.RandomNormal(mean=0.0, stddev=0.05, seed=42))(input1)
     input2 = Input(tensor=tf.constant(np.random.rand(1, 32).astype(np.float32)))
     added = Add()([x1, input2])
     model = keras.models.Model(inputs=[input1, input2], outputs=added)