maheshambule commented on a change in pull request #5330: [Frontend][TFLite]
support for FILL and SPLIT_V operators
URL: https://github.com/apache/incubator-tvm/pull/5330#discussion_r408117717
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -1105,6 +1112,37 @@ def test_forward_zeros_like():
""" ZEROS LIKE """
_test_zeros_like(np.arange(6.0, dtype=np.float32).reshape((1, 6)))
+
+#######################################################################
+# Fill
+# ----
+
+def _test_fill(dims, value_data, value_dtype):
+ """ Use the fill op to create a tensor of value_data with constant dims."""
+
+ value_data = np.array(value_data, dtype=value_dtype)
+ with tf.Graph().as_default():
+ value = array_ops.placeholder(dtype=value_dtype, name="value",
shape=[])
+ out = tf.fill(dims, value)
+ compare_tflite_with_tvm([value_data], ["value"], [value], [out])
+
+ with tf.Graph().as_default():
+ input1 = array_ops.placeholder(dtype=value_dtype, name="input1",
shape=dims)
+ # Fill op gets converted to static tensor during conversion
+ out = tf.fill(dims, value_data)
+ out1 = tf.add(out, input1)
+ input1_data = np.random.uniform(0, 5, size=dims).astype(value_dtype)
+ compare_tflite_with_tvm([input1_data], ["input1"], [input1], [out1])
+
+
+def test_forward_fill():
Review comment:
oh missed it! Thanks. Done.
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