add support for onnx equal (microsoft#15)

onnxruntime/core/providers/webnn/builders/helper.h

@@ -94,6 +94,7 @@ static const InlinedHashMap<std::string, std::string> op_map = {
     {"Div", "div"},
     {"Pow", "pow"},
     {"Cos", "cos"},
+    {"Equal", "equal"},
     {"Erf", "erf"},
     {"Not", "logicalNot"},
     {"Floor", "floor"},

onnxruntime/core/providers/webnn/builders/impl/logical_op_builder.cc

@@ -0,0 +1,74 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Copyright (c) Intel Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+#include <core/providers/common.h>
+
+#include "core/providers/webnn/builders/model_builder.h"
+#include "core/providers/webnn/builders/op_builder_factory.h"
+#include "core/providers/webnn/builders/helper.h"
+
+#include "base_op_builder.h"
+
+namespace onnxruntime {
+namespace webnn {
+
+class LogicalOpBuilder : public BaseOpBuilder {
+  // Add operator related.
+ private:
+  Status AddToModelBuilderImpl(ModelBuilder& model_builder, const Node& node,
+                               const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
+  // Operator support related.
+  bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
+                         const logging::Logger& logger) const override;
+};
+
+// Add operator related.
+
+Status LogicalOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder, const Node& node,
+                                               const logging::Logger& /* logger */) const {
+  const auto& op_type = node.OpType();
+  emscripten::val input0 = model_builder.GetOperand(node.InputDefs()[0]->Name());
+  emscripten::val input1 = model_builder.GetOperand(node.InputDefs()[1]->Name());
+  emscripten::val output = emscripten::val::object();
+  if (op_type == "Equal") {
+    output = model_builder.GetBuilder().call<emscripten::val>("equal", input0, input1);
+  } else {
+    return ORT_MAKE_STATUS(ONNXRUNTIME, INVALID_ARGUMENT,
+                           "LogicalOpBuilder::AddToModelBuilderImpl, unknown op: ", op_type);
+  }
+
+  model_builder.AddOperand(node.OutputDefs()[0]->Name(), std::move(output));
+  return Status::OK();
+}
+
+void CreateLogicalOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations) {
+  if (op_registrations.op_builder_map.find(op_type) != op_registrations.op_builder_map.cend())
+    return;
+
+  static std::vector<std::string> op_types =
+      {
+          "Equal",
+      };
+
+  op_registrations.builders.push_back(std::make_unique<LogicalOpBuilder>());
+  for (const auto& type : op_types) {
+    op_registrations.op_builder_map.emplace(type, op_registrations.builders.back().get());
+  }
+}
+
+bool LogicalOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
+                                         const logging::Logger& logger) const {
+  const auto& name = node.Name();
+  const auto& op_type = node.OpType();
+  const auto& input_defs = node.InputDefs();
+  if (input_defs.size() < 2) {
+    LOGS(logger, VERBOSE) << op_type << " [" << name << "] requires at least 2 inputs, actual: "
+                          << input_defs.size();
+    return false;
+  }
+  return true;
+}
+
+}  // namespace webnn
+}  // namespace onnxruntime

onnxruntime/core/providers/webnn/builders/op_builder_factory.cc

@@ -77,6 +77,10 @@ static OpBuilderRegistrations CreateOpBuilderRegistrations() {
     CreateGemmOpBuilder("MatMul", op_registrations);
   }
 
+  {  // Logical
+    CreateLogicalOpBuilder("Equal", op_registrations);
+  }
+
   {  // Pool
     CreatePoolOpBuilder("GlobalAveragePool", op_registrations);
     CreatePoolOpBuilder("GlobalMaxPool", op_registrations);

onnxruntime/core/providers/webnn/builders/op_builder_factory.h

@@ -39,6 +39,7 @@ void CreateSoftmaxOpBuilder(const std::string& op_type, OpBuilderRegistrations&
 void CreateSplitOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations);
 void CreateTransposeOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations);
 void CreateUnaryOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations);
+void CreateLogicalOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations);
 
 }  // namespace webnn
 }  // namespace onnxruntime