[HEXAGON] Add op resize2d for hexagon

python/tvm/topi/hexagon/__init__.py

@@ -25,3 +25,4 @@
 from .injective import *
 from .pooling import *
 from .reduce import *
+from .resize2d import *

python/tvm/topi/hexagon/resize2d.py

@@ -0,0 +1,81 @@
+# 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.
+# pylint: disable=invalid-name
+
+"""Compute and schedule for resize2d
+Please note the following assumptions made by the implementation:
+1) The input and output data will be multiple of crouton layout
+2) And the supported layout is NHWC"""
+
+from tvm import te
+from tvm import tir
+from tvm import topi
+from .utils import get_layout_transform_fn
+
+
+def resize2d_compute(
+    data,
+    roi,
+    size,
+    layout,
+    method="linear",
+    coordinate_transformation_mode="half_pixel",
+    rounding_method="",
+    bicubic_alpha=-0.5,
+    bicubic_exclude=0,
+    extrapolation_value=0.0,
+    out_dtype=None,
+    output_shape=None,
+):
+    """Call resize2d op from topi.image"""
+    return topi.image.resize2d(
+        data,
+        roi,
+        size,
+        layout,
+        method,
+        coordinate_transformation_mode,
+        rounding_method,
+        bicubic_alpha,
+        bicubic_exclude,
+        extrapolation_value,
+        out_dtype,
+        output_shape,
+    )
+
+
+def tir_broadcast_schedule(
+    out_m,
+    input_a,
+    input_layout: str,
+    output_layout: str,
+):
+    """Schedule for input and output layout nhwc-8h2w32c2w-2d"""
+    func = te.create_prim_func([input_a, out_m])
+
+    s = tir.Schedule(func)
+
+    block = s.get_block("resize")
+
+    if input_layout == "nhwc-8h2w32c2w-2d":
+        input_transformed_layout = get_layout_transform_fn(input_layout)
+        s.transform_layout(block, buffer=("read", 0), index_map=input_transformed_layout)
+
+    output_transformed_layout = get_layout_transform_fn(output_layout)
+    s.transform_layout(block, buffer=("write", 0), index_map=output_transformed_layout)
+
+    return s

tests/python/contrib/test_hexagon/topi/test_resize2d.py

@@ -0,0 +1,169 @@
+# 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.
+
+
+import pytest
+import numpy as np
+
+from tvm import te, topi
+
+import tvm.testing
+from tvm.topi import testing
+from tvm.contrib.hexagon.build import HexagonLauncher
+import tvm.topi.hexagon as s1
+from ..infrastructure import allocate_hexagon_array, transform_numpy
+
+
+@tvm.testing.fixture
+def expected_output_np(
+    input_np, in_height, in_width, out_height, out_width, layout, method, coord_trans
+):
+    scale_h = out_height / in_height
+    scale_w = out_width / in_width
+    return tvm.topi.testing.resize2d_python(
+        input_np, (scale_h, scale_w), layout, method, coord_trans
+    )
+
+
+@tvm.testing.fixture
+def input_np(input_shape, dtype):
+    return np.random.random(input_shape).astype(dtype)
+
+
+@tvm.testing.fixture
+def transformed_input_np(input_np, layout, input_crouton_layout):
+    return transform_numpy(input_np, layout.lower(), input_crouton_layout)
+
+
+@tvm.testing.fixture
+def transformed_expected_output_np(expected_output_np, layout, output_layout):
+    return transform_numpy(expected_output_np, layout.lower(), output_layout)
+
+
+@tvm.testing.fixture
+def input_shape(batch, channel, in_height, in_width):
+    return (batch, in_height, in_width, channel)
+
+
+@tvm.testing.fixture
+def output_shape(batch, channel, out_height, out_width):
+    return (batch, out_height, out_width, channel)
+
+
+class TestResize2d:
+    (batch, channel, in_height, in_width, out_height, out_width,) = tvm.testing.parameters(
+        (
+            1,
+            32,
+            8,
+            8,
+            16,
+            16,
+        ),
+        (
+            1,
+            32,
+            48,
+            48,
+            8,
+            8,
+        ),
+    )
+
+    (layout, input_crouton_layout, output_layout, dtype,) = tvm.testing.parameters(
+        ("NHWC", "nhwc-8h2w32c2w-2d", "nhwc-8h2w32c2w-2d", "float16"),
+    )
+
+    coord_trans = tvm.testing.parameter("asymmetric", "align_corners", "half_pixel")
+    method = tvm.testing.parameter("nearest_neighbor", "linear", "cubic")
+
+    @tvm.testing.requires_hexagon
+    def test_resize2d(
+        self,
+        dtype,
+        input_np,
+        transformed_input_np,
+        input_shape,
+        output_shape,
+        expected_output_np,
+        transformed_expected_output_np,
+        layout,
+        input_crouton_layout,
+        output_layout,
+        coord_trans,
+        method,
+        hexagon_session,
+    ):
+        target_hexagon = tvm.target.hexagon("v69")
+        A = te.placeholder(input_shape, name="A", dtype=dtype)
+
+        M = s1.resize2d_compute(
+            A,
+            [0.0] * 4,
+            (output_shape[1], output_shape[2]),
+            layout=layout,
+            coordinate_transformation_mode=coord_trans,
+            method=method,
+        )
+
+        tir_schedule = s1.tir_broadcast_schedule(M, A, input_crouton_layout, output_layout)
+
+        sch = tir_schedule.mod
+
+        input_axis_separator = [4]
+        if output_layout == "nhwc-8h2w32c2w-2d":
+            output_axis_separator = [4]
+        else:
+            raise RuntimeError(f"Unexpected layout '{output_layout}'")
+
+        with tvm.transform.PassContext(opt_level=3):
+            func = tvm.build(
+                sch,
+                [A, M],
+                tvm.target.Target(target_hexagon, host=target_hexagon),
+                name="resize2d",
+            )
+
+        A_data_nd = allocate_hexagon_array(
+            hexagon_session.device,
+            data=transformed_input_np,
+            dtype=dtype,
+            axis_separators=input_axis_separator,
+            mem_scope="global.vtcm",
+        )
+
+        M_data_nd = allocate_hexagon_array(
+            hexagon_session.device,
+            transformed_expected_output_np.shape,
+            dtype=dtype,
+            axis_separators=output_axis_separator,
+            mem_scope="global.vtcm",
+        )
+
+        mod = hexagon_session.load_module(func)
+        mod(A_data_nd, M_data_nd)
+
+        b, h, w, c = output_shape
+        # convert nd to np and reshape to fixed chunk size layout
+        if output_layout == "nhwc-8h2w32c2w-2d":
+            M_data_np = M_data_nd.numpy().reshape([b, h // 8, w // 4, c // 32, 8, 2, 32, 2])
+
+        np.testing.assert_allclose(transformed_expected_output_np, M_data_np, rtol=1e-3, atol=1e-3)
+
+
+if __name__ == "__main__":
+    tvm.testing.main()