[GitHub] [tvm] masahi commented on a change in pull request #7441: [Frontend][Tensorflow] Add unique operator

[GitBox <gi...@apache.org>]

masahi commented on a change in pull request #7441:
URL: https://github.com/apache/tvm/pull/7441#discussion_r579566303



##########
File path: tests/python/relay/test_op_level3.py
##########
@@ -1453,5 +1453,53 @@ def verify_scatter_nd_with_stack(data_np, indices_np, shape, ref_res, rtol=1e-5,
     verify_scatter_nd_with_stack(data, indices, shape, out)
 
 
+@tvm.testing.uses_gpu
+def test_unique():
+    def calc_numpy_unique(data, is_sorted=False):
+        uniq, index, inverse, counts = np.unique(
+            data, return_index=True, return_inverse=True, return_counts=True
+        )
+        num_uniq = np.array([len(uniq)]).astype("int32")
+        if not is_sorted:
+            order = np.argsort(index)
+            reverse_order = np.argsort(order)
+            uniq = uniq[order].astype(data.dtype)
+            inverse = np.array([reverse_order[i] for i in inverse]).astype("int32")
+            counts = counts[order].astype("int32")
+        return [uniq.astype(data.dtype), inverse.astype("int32"), counts, num_uniq]
+
+    def verify_unique(n, dtype, is_dyn=False, is_sorted=False):
+        if is_dyn:
+            x = relay.var("x", relay.TensorType([relay.Any()], dtype))
+        else:
+            x = relay.var("x", relay.TensorType([n], dtype))
+        outs = relay.unique(x, is_sorted)
+        outs = outs.astuple()
+        func = relay.Function([x], outs)
+        x_data = np.random.randint(50, size=n).astype(dtype)
+
+        if is_dyn:
+            backends = ["vm", "debug"]
+        else:
+            backends = ["graph", "debug"]
+        for target, ctx in tvm.testing.enabled_targets():

Review comment:
       This will probably try to run on GPU




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org