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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2021/11/16 13:09:14 UTC

[GitHub] [tvm] NicolaLancellotti commented on a change in pull request #9515: [microNPU] Allow constants to be given as input to an operator

NicolaLancellotti commented on a change in pull request #9515:
URL: https://github.com/apache/tvm/pull/9515#discussion_r750247811



##########
File path: tests/python/contrib/test_ethosu/test_legalize.py
##########
@@ -693,6 +693,53 @@ def verify(ext_func):
     verify(mod["tvmgen_default_ethos_u_main_0"])
 
 
+def test_binary_add_from_constant_scalar():
+    dtype = "uint8"
+    ifm_shape = (1, 4, 4, 8)
+
+    def create_graph():
+        inp = relay.var("input", shape=ifm_shape, dtype=dtype)
+        scalar = relay.const(np.ones((1, 1, 1, 1), dtype=dtype), dtype=dtype)
+        add = relay.qnn.op.add(
+            inp,
+            scalar,
+            relay.const(1.0, dtype="float32"),
+            relay.const(0, dtype="int32"),
+            relay.const(1.0, dtype="float32"),
+            relay.const(0, dtype="int32"),
+            relay.const(1.0, dtype="float32"),
+            relay.const(0, dtype="int32"),
+        )
+        func = relay.Function(relay.analysis.free_vars(add), add)
+        return tvm.IRModule.from_expr(func)
+
+    def verify(ext_func):
+        op = ext_func.body
+        assert list(op.args[0].checked_type.shape) == [1, 4, 4, 8]
+        assert list(op.args[1].checked_type.shape) == [1, 1, 1, 1]
+        assert op.args[0].checked_type.dtype == "uint8"
+        assert list(op.checked_type.shape) == [1, 4, 4, 8]
+        assert op.checked_type.dtype == "uint8"
+        assert op.attrs.operator_type == "ADD"
+
+    rewriter = legalize.AddRewriter()
+    pattern_table = [
+        (
+            ethosu.AddParams.composite_name,
+            ethosu.qnn_add_pattern(),
+            lambda pat: ethosu.AddParams(pat).is_valid(),
+        ),
+    ]
+
+    mod = create_graph()
+    mod = partition_ethosu_by_table(mod, pattern_table)
+
+    mod["tvmgen_default_ethosu_main_0"] = dataflow_pattern.rewrite(
+        rewriter, mod["tvmgen_default_ethosu_main_0"]
+    )
+    verify(mod["tvmgen_default_ethosu_main_0"])

Review comment:
       ```suggestion
       mod["tvmgen_default_ethos_u_main_0"] = dataflow_pattern.rewrite(
           rewriter, mod["tvmgen_default_ethos_u_main_0"]
       )
       verify(mod["tvmgen_default_ethos_u_main_0"])
   ```

##########
File path: tests/python/contrib/test_ethosu/test_encode_constants.py
##########
@@ -270,5 +273,47 @@ def _get_func():
     assert reference_const_sizes == test_const_sizes
 
 
+def test_constant_as_input():
+    """Test to check that constants specified as inputs aren't
+    interpreted as an encoded constant."""
+
+    def get_graph():
+        dtype = "uint8"
+        ifm = relay.var("ifm", shape=(1, 16, 16, 32), dtype=dtype)
+        conv1 = make_ethosu_conv2d(
+            ifm,
+            32,
+            16,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            (1, 1),
+        )
+        scalar = relay.const(np.ones((1, 1, 1, 1), dtype=dtype), dtype=dtype)
+        add1 = make_ethosu_binary_elementwise(
+            conv1, scalar, ifm_channels=32, ifm2_channels=1, operator_type="ADD", ofm_dtype=dtype
+        )
+        func = relay.Function(relay.analysis.free_vars(add1), add1)
+        func = run_opt_pass(func, relay.transform.InferType())
+        return func
+
+    tir_mod, params = lower_to_tir(get_graph(), copy_constants())
+
+    # Check tile address for the scalar constant input hasn't been
+    # overwritten.
+    extern_calls = tir_mod["main"].body.body.body.body.body
+    binary_elmtwise = extern_calls[-1].value
+    args = binary_elmtwise.args

Review comment:
       ```suggestion
       binary_elementwise = extern_calls[-1].value
       args = binary_elementwise.args
   ```




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