[WebNN] Improve data type check of slice op (#22988)

A follow-up of [[WebNN] Support negative steps for
slice](https://github.com/microsoft/onnxruntime/pull/22871#discussion_r1847929774).
Slice op is emulated by reverse+slice when steps < 0 so
`SliceOpBuilder::HasSupportedInputsImpl()` should also check the
supported data types of reverse.

---------

Co-authored-by: Wanming Lin <wanming.lin@intel.com>

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

@@ -178,14 +178,31 @@ bool IsDataTypeSupportedByOp(const std::string& onnx_op_type,
   if (!GetWebNNOpType(onnx_op_type, webnn_op_type))
     return false;
 
-  if (!IsSupportedDataType(onnx_data_type, wnn_limits[webnn_op_type][webnn_input_output_name]["dataTypes"])) {
-    LOGS(logger, VERBOSE) << "[" << onnx_op_type
-                          << "] " << onnx_input_output_name
-                          << " type: [" << onnx_data_type
-                          << "] is not supported for now";
+  return IsDataTypeSupportedByWebNNOp(onnx_op_type, webnn_op_type, onnx_data_type, wnn_limits,
+                                      webnn_input_output_name, onnx_input_output_name, logger);
+}
+
+bool IsDataTypeSupportedByWebNNOp(const std::string& onnx_op_type,
+                                  const std::string& webnn_op_type,
+                                  const int32_t onnx_data_type,
+                                  const emscripten::val& wnn_limits,
+                                  const std::string& webnn_input_output_name,
+                                  const std::string& onnx_input_output_name,
+                                  const logging::Logger& logger) {
+  if (wnn_limits[webnn_op_type].isUndefined()) {
+    LOGS(logger, VERBOSE) << "[" << onnx_op_type << "] WebNN op [" << webnn_op_type << "] is not supported for now";
+    return false;
+  }
+  if (wnn_limits[webnn_op_type][webnn_input_output_name].isUndefined()) {
+    LOGS(logger, VERBOSE) << "[" << onnx_op_type << "] WebNN op [" << webnn_op_type << "] doesn't have parameter ["
+                          << webnn_input_output_name << "]";
+    return false;
+  }
+  if (!IsSupportedDataType(onnx_data_type, wnn_limits[webnn_op_type][webnn_input_output_name]["dataTypes"])) {
+    LOGS(logger, VERBOSE) << "[" << onnx_op_type << "] " << onnx_input_output_name << "'s data type: ["
+                          << onnx_data_type << "] is not supported by WebNN op [" << webnn_op_type << "] for now";
     return false;
   }
-
   return true;
 }
 

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

@@ -340,6 +340,13 @@ bool IsDataTypeSupportedByOp(const std::string& onnx_op_type,
                              const std::string& webnn_input_output_name,
                              const std::string& onnx_input_output_name,
                              const logging::Logger& logger);
+bool IsDataTypeSupportedByWebNNOp(const std::string& onnx_op_type,
+                                  const std::string& webnn_op_type,
+                                  const int32_t onnx_data_type,
+                                  const emscripten::val& wnn_limits,
+                                  const std::string& webnn_input_output_name,
+                                  const std::string& onnx_input_output_name,
+                                  const logging::Logger& logger);
 
 bool GetBidirectionalBroadcastShape(std::vector<int64_t>& shape_a,
                                     std::vector<int64_t>& shape_b,

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

@@ -29,7 +29,7 @@ Status BaseOpBuilder::AddToModelBuilder(ModelBuilder& model_builder, const Node&
 bool BaseOpBuilder::IsOpSupported(const InitializedTensorSet& initializers, const Node& node,
                                   const WebnnDeviceType device_type, const emscripten::val& wnn_limits,
                                   const logging::Logger& logger) const {
-  if (!HasSupportedInputs(node, wnn_limits, logger))
+  if (!HasSupportedInputs(initializers, node, wnn_limits, logger))
     return false;
 
   if (!HasSupportedOutputs(node, wnn_limits, logger))
@@ -41,7 +41,7 @@ bool BaseOpBuilder::IsOpSupported(const InitializedTensorSet& initializers, cons
   return IsOpSupportedImpl(initializers, node, device_type, logger);
 }
 
-bool BaseOpBuilder::HasSupportedInputs(const Node& node, const emscripten::val& wnn_limits,
+bool BaseOpBuilder::HasSupportedInputs(const InitializedTensorSet& initializers, const Node& node, const emscripten::val& wnn_limits,
                                        const logging::Logger& logger) const {
   const auto node_name = MakeString("Node [", node.Name(), "] type [", node.OpType(), "]");
   for (const auto* input : node.InputDefs()) {
@@ -50,10 +50,10 @@ bool BaseOpBuilder::HasSupportedInputs(const Node& node, const emscripten::val&
     }
   }
 
-  return HasSupportedInputsImpl(node, wnn_limits, logger);
+  return HasSupportedInputsImpl(initializers, node, wnn_limits, logger);
 }
 
-bool BaseOpBuilder::HasSupportedInputsImpl(const Node& node,
+bool BaseOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& initializers, const Node& node,
                                            const emscripten::val& wnn_limits,
                                            const logging::Logger& logger) const {
   // We only check the type of input 0 by default, specific op builder can override this.

onnxruntime/core/providers/webnn/builders/impl/base_op_builder.h

@@ -40,7 +40,7 @@ class BaseOpBuilder : public IOpBuilder {
     return true;
   }
 
-  virtual bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
+  virtual bool HasSupportedInputsImpl(const InitializedTensorSet& initializers, const Node& node, const emscripten::val& wnn_limits,
                                       const logging::Logger& logger) const;
   virtual bool HasSupportedOutputsImpl(const Node& node, const emscripten::val& wnn_limits,
                                        const logging::Logger& logger) const;
@@ -56,7 +56,7 @@ class BaseOpBuilder : public IOpBuilder {
 
  private:
   bool HasSupportedOpSet(const Node& node, const logging::Logger& logger) const;
-  bool HasSupportedInputs(const Node& node, const emscripten::val& wnn_limits, const logging::Logger& logger) const;
+  bool HasSupportedInputs(const InitializedTensorSet& initializers, const Node& node, const emscripten::val& wnn_limits, const logging::Logger& logger) const;
   bool HasSupportedOutputs(const Node& node, const emscripten::val& wnn_limits, const logging::Logger& logger) const;
 
   const bool allow_empty_tensor_as_input_;  // Some operators can handle ignoring an empty tensor as input.

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

@@ -22,8 +22,8 @@ class BinaryOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType device_type, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -86,8 +86,8 @@ bool BinaryOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers
   return true;
 }
 
-bool BinaryOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                             const logging::Logger& logger) const {
+bool BinaryOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                             const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;

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

@@ -21,8 +21,8 @@ class CastOpBuilder : public BaseOpBuilder {
 
   // Operator support related.
  private:
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -86,8 +86,8 @@ Status CastOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
 }
 
 // Operator support related.
-bool CastOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                           const logging::Logger& logger) const {
+bool CastOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                           const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input_type;

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

@@ -21,8 +21,8 @@ class ConcatOpBuilder : public BaseOpBuilder {
                                const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
 
   // Operator support related.
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -55,8 +55,8 @@ Status ConcatOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
   return Status::OK();
 }
 
-bool ConcatOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                             const logging::Logger& logger) const {
+bool ConcatOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                             const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;

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

@@ -29,8 +29,8 @@ class ConvOpBuilder : public BaseOpBuilder {
  private:
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType device_type, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 void ConvOpBuilder::AddInitializersToSkip(ModelBuilder& model_builder, const Node& node) const {
@@ -397,8 +397,8 @@ bool ConvOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers,
   return true;
 }
 
-bool ConvOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                           const logging::Logger& logger) const {
+bool ConvOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                           const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;  // input data type

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

@@ -27,8 +27,8 @@ class EinsumOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Helper functions, thanks for DML EP's OperatorHelper.
@@ -735,8 +735,8 @@ bool EinsumOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initializ
   return true;
 }
 
-bool EinsumOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                             const logging::Logger& logger) const {
+bool EinsumOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                             const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
 
   const auto& op_type = node.OpType();
@@ -776,11 +776,11 @@ bool EinsumOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten:
     return false;
   } else if (recognized_operator_type == RecognizedOperatorType::Pairwise) {
     // Map to WebNN's gemm or matmul
-    return IsDataTypeSupportedByOp("MatMul", input0_type, wnn_limits, "a", "inputs", logger);
+    return IsDataTypeSupportedByWebNNOp(op_type, "matmul", input0_type, wnn_limits, "a", "inputs", logger);
   } else if (recognized_operator_type == RecognizedOperatorType::ReduceSum) {
-    return IsDataTypeSupportedByOp("ReduceSum", input0_type, wnn_limits, "input", "inputs", logger);
+    return IsDataTypeSupportedByWebNNOp(op_type, "reduceSum", input0_type, wnn_limits, "input", "inputs", logger);
   } else {
-    return IsDataTypeSupportedByOp("Identity", input0_type, wnn_limits, "input", "inputs", logger);
+    return IsDataTypeSupportedByWebNNOp(op_type, "identity", input0_type, wnn_limits, "input", "inputs", logger);
   }
 }
 

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

@@ -20,8 +20,8 @@ class GatherElementsOpBuilder : public BaseOpBuilder {
                                const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
 
   // Operator support related.
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -49,7 +49,8 @@ Status GatherElementsOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builde
 
 // Operator support related.
 
-bool GatherElementsOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
+bool GatherElementsOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                                     const emscripten::val& wnn_limits,
                                                      const logging::Logger& logger) const {
   const auto& data = *node.InputDefs()[0];
   const auto& indices = *node.InputDefs()[1];

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

@@ -22,8 +22,8 @@ class GatherNDOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -55,8 +55,8 @@ bool GatherNDOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initial
   return true;
 }
 
-bool GatherNDOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                               const logging::Logger& logger) const {
+bool GatherNDOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                               const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& data = *node.InputDefs()[0];
   const auto& indices = *node.InputDefs()[1];
   const auto& op_type = node.OpType();

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

@@ -22,8 +22,8 @@ class GatherOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -69,8 +69,8 @@ bool GatherOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initializ
   return true;
 }
 
-bool GatherOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                             const logging::Logger& logger) const {
+bool GatherOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                             const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input = *node.InputDefs()[0];
   const auto& indices = *node.InputDefs()[1];
   const auto& op_type = node.OpType();

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

@@ -25,8 +25,8 @@ class GemmOpBuilder : public BaseOpBuilder {
  private:
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -215,8 +215,8 @@ bool GemmOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initializer
   return true;
 }
 
-bool GemmOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                           const logging::Logger& logger) const {
+bool GemmOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                           const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;  // A data type

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

@@ -26,8 +26,8 @@ class GruOpBuilder : public BaseOpBuilder {
  private:
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType /*device_type*/, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
   bool HasSupportedOutputsImpl(const Node& node, const emscripten::val& wnn_limits,
                                const logging::Logger& logger) const override;
 };
@@ -187,8 +187,8 @@ bool GruOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers, c
   return true;
 }
 
-bool GruOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                          const logging::Logger& logger) const {
+bool GruOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                          const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input_X_type = 0;          // input data type

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

@@ -21,8 +21,8 @@ class LogicalOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -71,8 +71,8 @@ bool LogicalOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initiali
   return true;
 }
 
-bool LogicalOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                              const logging::Logger& logger) const {
+bool LogicalOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                              const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;

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

@@ -25,8 +25,8 @@ class LstmOpBuilder : public BaseOpBuilder {
  private:
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType /*device_type*/, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
   bool HasSupportedOutputsImpl(const Node& node, const emscripten::val& wnn_limits,
                                const logging::Logger& logger) const override;
 };
@@ -198,8 +198,8 @@ bool LstmOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers,
   return true;
 }
 
-bool LstmOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                           const logging::Logger& logger) const {
+bool LstmOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                           const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type = 0;  // input data type

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

@@ -22,8 +22,8 @@ class MaxMinOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -87,8 +87,8 @@ bool MaxMinOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initializ
   return true;
 }
 
-bool MaxMinOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                             const logging::Logger& logger) const {
+bool MaxMinOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                             const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;

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

@@ -25,8 +25,8 @@ class NormalizationOpBuilder : public BaseOpBuilder {
  private:
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 Status NormalizationOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
@@ -228,7 +228,8 @@ bool NormalizationOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initi
   return true;
 }
 
-bool NormalizationOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
+bool NormalizationOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                                    const emscripten::val& wnn_limits,
                                                     const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();

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

@@ -22,8 +22,8 @@ class QDQOpBuilder : public BaseOpBuilder {
                                const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
 
   // Operator support related.
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 Status QDQOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
@@ -118,8 +118,8 @@ Status QDQOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder,
   return Status::OK();
 }
 
-bool QDQOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                          const logging::Logger& logger) const {
+bool QDQOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                          const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type = 0;  // input data type

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

@@ -22,8 +22,8 @@ class ScatterElementsOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -65,7 +65,8 @@ bool ScatterElementsOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /*
   return true;
 }
 
-bool ScatterElementsOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
+bool ScatterElementsOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                                      const emscripten::val& wnn_limits,
                                                       const logging::Logger& logger) const {
   const auto& data = *node.InputDefs()[0];
   const auto& indices = *node.InputDefs()[1];

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

@@ -22,8 +22,8 @@ class ScatterNDOpBuilder : public BaseOpBuilder {
   // Operator support related.
   bool IsOpSupportedImpl(const InitializedTensorSet& /* initializers */, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -57,7 +57,8 @@ bool ScatterNDOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& /* initia
   return true;
 }
 
-bool ScatterNDOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
+bool ScatterNDOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                                const emscripten::val& wnn_limits,
                                                 const logging::Logger& logger) const {
   const auto& data = *node.InputDefs()[0];
   const auto& indices = *node.InputDefs()[1];

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

@@ -27,6 +27,8 @@ class SliceOpBuilder : public BaseOpBuilder {
                                const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
   bool IsOpSupportedImpl(const InitializedTensorSet& initializers, const Node& node,
                          const WebnnDeviceType /* device_type */, const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& initializers, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
   // TODO: Support Slice opset < 10, which uses attributes for starts and ends.
   int GetMinSupportedOpSet(const Node& /* node */) const override { return 10; }
 };
@@ -161,6 +163,30 @@ bool SliceOpBuilder::IsOpSupportedImpl(const InitializedTensorSet& initializers,
   return true;
 }
 
+bool SliceOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& initializers, const Node& node,
+                                            const emscripten::val& wnn_limits, const logging::Logger& logger) const {
+  const auto& input_defs = node.InputDefs();
+  const auto& input = *input_defs[0];
+  const auto& op_type = node.OpType();
+  int32_t input_type;
+  if (!GetType(input, input_type, logger))
+    return false;
+
+  // If there is step < 0, check data type support of reverse.
+  if (input_defs.size() > 4 && input_defs[4]->Exists()) {
+    std::vector<int64_t> steps;
+    if (!ReadIntArrayFrom1DTensor(*initializers.at(input_defs[4]->Name()), steps, logger))
+      return false;
+    if (std::any_of(steps.begin(), steps.end(), [](int64_t step) { return step < 0; })) {
+      if (!IsDataTypeSupportedByWebNNOp(op_type, "reverse", input_type, wnn_limits, "input", "data", logger)) {
+        return false;
+      }
+    }
+  }
+
+  return IsDataTypeSupportedByOp(op_type, input_type, wnn_limits, "input", "data", logger);
+}
+
 void CreateSliceOpBuilder(const std::string& op_type, OpBuilderRegistrations& op_registrations) {
   op_registrations.builders.push_back(std::make_unique<SliceOpBuilder>());
   op_registrations.op_builder_map.emplace(op_type, op_registrations.builders.back().get());

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

@@ -18,8 +18,8 @@ class TernaryOpBuilder : public BaseOpBuilder {
  private:
   Status AddToModelBuilderImpl(ModelBuilder& model_builder, const Node& node,
                                const logging::Logger& logger) const override ORT_MUST_USE_RESULT;
-  bool HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                              const logging::Logger& logger) const override;
+  bool HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                              const emscripten::val& wnn_limits, const logging::Logger& logger) const override;
 };
 
 // Add operator related.
@@ -46,8 +46,8 @@ Status TernaryOpBuilder::AddToModelBuilderImpl(ModelBuilder& model_builder, cons
   return Status::OK();
 }
 
-bool TernaryOpBuilder::HasSupportedInputsImpl(const Node& node, const emscripten::val& wnn_limits,
-                                              const logging::Logger& logger) const {
+bool TernaryOpBuilder::HasSupportedInputsImpl(const InitializedTensorSet& /* initializers */, const Node& node,
+                                              const emscripten::val& wnn_limits, const logging::Logger& logger) const {
   const auto& input_defs = node.InputDefs();
   const auto& op_type = node.OpType();
   int32_t input0_type;  // condition data type