d-smirnov commented on a change in pull request #6018:
URL: https://github.com/apache/incubator-tvm/pull/6018#discussion_r454579971
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File path: tests/python/frontend/tflite/test_forward.py
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@@ -1281,70 +1287,72 @@ def test_all_unary_elemwise():
# Element-wise
# ------------
-def _test_elemwise(math_op, data, fused_activation_function=None,
quantized=False, qnn_op=None):
+def _test_elemwise(math_op, data, fused_activation_function=None,
quantized=False, qnn_op=None, same_qnn_params=False):
""" One iteration of elemwise """
assert len(data) == 2
# Test with two tensors
- with tf.Graph().as_default():
- in_data = [array_ops.placeholder(shape=data[0].shape, dtype='float32',
name='in_0'),
- array_ops.placeholder(shape=data[1].shape, dtype='float32',
name='in_1')]
-
- if quantized:
+ def __test_elemwise( in_data ):
Review comment:
I slightly simplified unit test (using current implementation). Is there
an example with different quantisation parameters for two input tensors and one
output tensor written using Keras?
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