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Migrate recipe and testdata tests to unittest #3708

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063e019
Decouple recipes and testdata tests from tensorflow.python test frame…
veblush Sep 11, 2026
79bb530
Fix formatting in resource_variables_test.py
veblush Sep 11, 2026
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1 change: 1 addition & 0 deletions tensorflow/lite/micro/examples/recipes/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,7 @@ tflm_py_test(
target_compatible_with = INCOMPATIBLE_WITH_WINDOWS,
deps = [
":resource_variables_lib",
requirement("numpy"),
"//python/tflite_micro:runtime",
],
)
16 changes: 7 additions & 9 deletions tensorflow/lite/micro/examples/recipes/resource_variables_test.py
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Expand Up @@ -12,18 +12,16 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# =============================================================================
import unittest
import numpy as np

from tensorflow.python.framework import test_util
from tensorflow.python.platform import test
from tflite_micro.python.tflite_micro import runtime as tflm_runtime
from tflite_micro.tensorflow.lite.micro.examples.recipes import (
resource_variables_lib,
)

from tflite_micro.python.tflite_micro import runtime as tflm_runtime


class ResourceVariablesTest(test_util.TensorFlowTestCase):
class ResourceVariablesTest(unittest.TestCase):
# Tests the custom accumulator model. Input conditional is [True], and
# accumulator value is array of 5.0. Given these inputs, we expect the output
# (variable value), to be accumulated by 5.0 each invoke.
Expand All @@ -34,15 +32,15 @@ def test_resource_variables_model(self):
tflm_interpreter.set_input([[True]], 0)
tflm_interpreter.set_input([np.full((100,), 15.0, dtype=np.float32)], 1)
tflm_interpreter.invoke()
self.assertAllEqual(
np.testing.assert_array_equal(
tflm_interpreter.get_output(0),
np.full((1, 100), 15.0, dtype=np.float32),
)

tflm_interpreter.set_input([[False]], 0)
tflm_interpreter.set_input([np.full((100,), 9.0, dtype=np.float32)], 1)
tflm_interpreter.invoke()
self.assertAllEqual(
np.testing.assert_array_equal(
tflm_interpreter.get_output(0),
np.full((1, 100), 6.0, dtype=np.float32),
)
Expand All @@ -52,11 +50,11 @@ def test_resource_variables_model(self):
tflm_interpreter.set_input([[True]], 0)
tflm_interpreter.set_input([np.full((100,), 5.0, dtype=np.float32)], 1)
tflm_interpreter.invoke()
self.assertAllEqual(
np.testing.assert_array_equal(
tflm_interpreter.get_output(0),
np.full((1, 100), 5.0, dtype=np.float32),
)


if __name__ == "__main__":
test.main()
unittest.main()
9 changes: 4 additions & 5 deletions tensorflow/lite/micro/kernels/testdata/lstm_test_data_generator_test.py
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Expand Up @@ -12,11 +12,10 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# =============================================================================
import unittest
import numpy as np
import tensorflow as tf

from tensorflow.python.framework import test_util
from tensorflow.python.platform import test
from tflite_micro.tensorflow.lite.micro.kernels.testdata import (
lstm_test_data_utils,
)
Expand Down Expand Up @@ -78,7 +77,7 @@ def create_keras_lstm(stateful=True):
return tf.keras.Model(input_layer, lstm_output, name="LSTM")


class QuantizedLSTMDebuggerTest(test_util.TensorFlowTestCase):
class QuantizedLSTMDebuggerTest(unittest.TestCase):
# only the float output from the debugger is used to setup the test data in .cc
def testFloatCompareWithKeras(self):
keras_lstm = create_keras_lstm()
Expand All @@ -102,8 +101,8 @@ def testFloatCompareWithKeras(self):
output_keras, _, _ = keras_lstm.predict(test_data.reshape(1, 1, 2))

diff = abs(output_float.flatten() - output_keras.flatten())
self.assertAllLess(diff, 1e-6)
self.assertTrue(np.all(diff < 1e-6))


if __name__ == "__main__":
test.main()
unittest.main()
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