u99127 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_r374499522
 
 

 ##########
 File path: tests/python/frontend/tflite/test_forward.py
 ##########
 @@ -244,6 +244,74 @@ 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])
+
+    #Test quantized input
+    data = np.random.uniform(1, 10, size=dshape).astype(np.uint8)
+    with tf.Graph().as_default():
+        in_data = array_ops.placeholder(shape=data.shape, dtype=data.dtype, 
name="in_data")
+        out = array_ops.gather(in_data, indices, axis=axis)
+        compare_tflite_with_tvm([data], ['in_data:0'], [in_data], [out], 
quantized=True)
 
 Review comment:
   Can we remove this by calling _test_gather with np.uint8 instead of 
duplicating logic ? 

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