siju-samuel commented on a change in pull request #4788:
[FRONTEND][TFLITE]Gather, StridedSlice op support added
URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374469548
##########
File path: tests/python/frontend/tflite/test_forward.py
##########
@@ -244,6 +244,57 @@ def test_forward_slice():
_test_slice(np.arange(8, dtype=np.int32).reshape((2, 4)), begin=[0,
1], size=[-1, -1])
_test_slice(np.arange(5, dtype=np.int32).reshape((5, )), begin=[4],
size=[-1])
+#######################################################################
+# Gather
+# ------
+
+def _test_gather(dshape, indices, axis, dtype):
+ """ One iteration of Gather """
+ data = np.random.uniform(1, 10, size=dshape).astype(dtype)
+ indices = np.asarray(indices).astype('int32')
+
+ with tf.Graph().as_default():
+ in_data = array_ops.placeholder(shape=data.shape, dtype=data.dtype)
+ out = array_ops.gather(in_data, indices, axis=axis)
+ compare_tflite_with_tvm(data, 'Placeholder:0', [in_data], [out])
+
+def test_forward_gather():
Review comment:
Since this is a tensor manipulation op, there is no change in the
processing. I have added testcases for quantized input data also.
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