u99127 commented on a change in pull request #5452:
URL: https://github.com/apache/incubator-tvm/pull/5452#discussion_r416144493
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -487,6 +487,31 @@ def test_forward_pooling():
strides=[2, 1])
+def _test_l2_pool2d(input_shape, ksize, strides, padding, data_format,
fused_func_name=None):
+ x = np.arange(np.prod(input_shape), dtype=np.float32).reshape(input_shape)
- 1
+
+ with tf.Graph().as_default():
+ in_data = tf.placeholder(
+ dtype=tf.float32, name="input", shape=input_shape)
+ out = tf.sqrt(tf.nn.avg_pool(
+ tf.square(in_data), ksize=ksize, strides=strides,
+ padding=padding, data_format=data_format))
+ out = with_fused_activation_function(out, fused_func_name)
+
+ compare_tflite_with_tvm(x, 'input', [in_data], [out])
Review comment:
Thanks , possibly worth a belts and braces check to ensure we catch this
in the frontend to ensure we think through qnn support rather than getting an
unknown failure.
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