[GitHub] [tvm] srkreddy1238 commented on a diff in pull request #13834: [CLML][RUNTIME] Enable more ops in CLML runtime

["srkreddy1238 (via GitHub)" <gi...@apache.org>]

srkreddy1238 commented on code in PR #13834:
URL: https://github.com/apache/tvm/pull/13834#discussion_r1086232498


##########
tests/python/contrib/test_clml/test_ops.py:
##########
@@ -574,5 +574,107 @@ def _verify(out, params, inputs):
     _verify(*(_get_model((1, 16), relay.nn.relu)))
 
 
+@pytest.mark.parametrize("dtype", ["float32"])
+@tvm.testing.requires_openclml
+def test_depth_to_space(device, dtype):
+    def _get_model(a_shape, block_size):
+        a = relay.var("a", shape=(a_shape), dtype=dtype)
+        out = relay.nn.depth_to_space(a, block_size)
+        inputs = {"a": tvm.nd.array(np.random.uniform(-1, 1, a_shape).astype(dtype))}
+        params = {}
+        return out, params, inputs
+
+    def _verify(out, params, inputs):
+        mod = IRModule.from_expr(out)
+        opencl_out = build_and_run(mod, inputs, 1, params, device, enable_clml=False)[0]
+        clml_out = build_and_run(mod, inputs, 1, params, device, enable_clml=True)[0]
+        tvm.testing.assert_allclose(
+            clml_out[0].asnumpy(), opencl_out[0].asnumpy(), rtol=1e-3, atol=1e-3
+        )
+
+        # Check to make sure these ops are offloaded to CLML instead of TVM.
+        exp_codegen = [
+            {
+                "attrs": {
+                    "dtype": [[dtype]],
+                    "shape": [[list(inputs["a"].shape)]],
+                },
+                "name": "",
+                "op": "input",
+            },
+            {
+                "attrs": {
+                    "block_size": [[str(int(out.attrs.block_size))]],
+                    "layout": [["NCHW"]],
+                    "mode": [["DCR"]],
+                    "dtype": [[dtype]],
+                    "num_inputs": "1",
+                    "num_outputs": "1",
+                    "shape": [[list(clml_out[0].shape)]],
+                },
+                "inputs": [[0, 0, 0]],
+                "name": "nn.depth_to_space",
+                "op": "kernel",
+            },
+        ]
+        verify_codegen(out, exp_codegen, device, params)
+
+    _verify(*(_get_model((1, 64, 8, 8), 4)))
+    _verify(*(_get_model((1, 64, 8, 8), 8)))
+
+
+@pytest.mark.parametrize("dtype", ["float32"])

Review Comment:
   Can we cover "float16" also here if supported on CLML & TVM too ?



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