electriclilies commented on a change in pull request #6198:
URL: https://github.com/apache/incubator-tvm/pull/6198#discussion_r464558226
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File path: python/tvm/relay/op/image/image.py
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@@ -239,6 +245,7 @@ def affine_grid(data, target_shape=None):
"""
return _make.affine_grid(data, target_shape)
+
Review comment:
Remove extra white space
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File path: src/relay/op/dyn/image/resize.cc
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@@ -0,0 +1,106 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file resize.cc
+ * \brief Image resize operators
+ */
+#include <tvm/relay/attrs/image.h>
+#include <tvm/relay/op.h>
+#include <tvm/tir/data_layout.h>
+
+#include "../../op_common.h"
+
+namespace tvm {
+namespace relay {
+namespace dyn {
+
+TVM_REGISTER_NODE_TYPE(ResizeAttrs);
+
+bool ResizeRel(const Array<Type>& types, int num_inputs, const Attrs& attrs,
+ const TypeReporter& reporter) {
+ // {data, size, out}
+ CHECK_EQ(types.size(), 3);
+ const auto* data = types[0].as<TensorTypeNode>();
+ if (data == nullptr) return false;
+
+ static const Layout kNCHW("NCHW");
+
+ const ResizeAttrs* param = attrs.as<ResizeAttrs>();
+ CHECK(param != nullptr);
+ const Layout in_layout(param->layout);
+ auto layout_converter = tir::BijectiveLayout(in_layout, kNCHW);
+ CHECK(layout_converter.defined())
+ << "Resize only support input layouts that are convertible from NCHW."
+ << " But got " << in_layout;
+
+ auto oshape = layout_converter.ForwardShape(data->shape);
+ oshape.Set(2, Any());
+ oshape.Set(3, Any());
+
+ DataType out_dtype = param->out_dtype;
+ if (out_dtype.bits() == 0) {
+ out_dtype = data->dtype;
+ }
+
+ // assign output type
+ reporter->Assign(types[2],
TensorType(layout_converter.BackwardShape(oshape), out_dtype));
+ return true;
+}
+
+// Positional relay function to create image operator
+// used by frontend FFI.
+Expr MakeResize(Expr data, Expr size, String layout, String method,
+ String coordinate_transformation_mode, DataType out_dtype) {
+ auto attrs = make_object<ResizeAttrs>();
+ attrs->layout = std::move(layout);
+ attrs->method = std::move(method);
+ attrs->coordinate_transformation_mode = coordinate_transformation_mode;
+ attrs->out_dtype = out_dtype;
+ static const Op& op = Op::Get("dyn.image.resize");
+ return Call(op, {data, size}, Attrs(attrs), {});
+}
+
+TVM_REGISTER_GLOBAL("relay.op.dyn.image._make.resize").set_body_typed(MakeResize);
+
+RELAY_REGISTER_OP("dyn.image.resize")
+ .describe(R"code(Perform resize to input array with nearest neighbour or
bilinear interpolation.
+
+- **data**: data is 4D array of shape
+ (batch_size, channels, in_height, in_width) for NCHW
+ (batch_size, in_height, in_width, channels) for NHWC
+
Review comment:
Add size and description to documentation
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