Change const to used dtype if it is passed in

python/tvm/relay/expr.py

@@ -488,7 +488,7 @@ def const(value, dtype=None):
         The constant value.
 
     dtype: str, optional
-        The data type of the value.
+        The data type of the resulting constant.
 
     Note
     ----
@@ -502,7 +502,9 @@ def const(value, dtype=None):
     if isinstance(value, (_base.numeric_types, (bool, list))):
         value = _np.array(value, dtype=dtype)
 
-    if not dtype:
+    if dtype:
+        value = value.astype(dtype)
+    else:
         # when dtype is None: int maps to "int32", float maps to "float32"
         map_dtype = {_np.dtype("int64"): _np.int32, _np.dtype("float64"): _np.float32}.get(
             value.dtype, None

tests/python/relay/test_const.py

@@ -0,0 +1,30 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+from tvm import relay
+from tvm.relay.frontend.common import infer_type
+from tvm.relay import op as _op
+import numpy as np
+
+
+def test_const_dtype():
+    strides = (1, 1)
+    np_array = np.array(strides).astype("int32")
+    strides = _op.const(np_array, dtype="int64")
+
+    # strides needs to be autoconverted to int64 on Windows
+    assert infer_type(strides).checked_type.dtype == np.dtype(np.int64)