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Fill CUDA EP opset gaps for Round and Equal operators #27754

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tianleiwu merged 3 commits into from
May 6, 2026
Merged

Fill CUDA EP opset gaps for Round and Equal operators #27754

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d769662
Update Round and Equal ONNX ops in CUDA to fill opset gaps
Copilot Mar 18, 2026
addf0f4
Merge branch 'main' into copilot/update-round-equal-onnx-operators
tianleiwu May 5, 2026
ca36370
add tests
tianleiwu May 5, 2026
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66 changes: 44 additions & 22 deletions onnxruntime/core/providers/cuda/cuda_execution_provider.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -1071,9 +1071,9 @@ class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kO
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, float, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, double, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, MLFloat16, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, float, Round);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, double, Round);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, MLFloat16, Round);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, float, Round);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, double, Round);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, MLFloat16, Round);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 10, 12, int8_t, QuantizeLinear);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 10, 12, uint8_t, QuantizeLinear);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 10, 12, int8_t, DequantizeLinear);
Expand Down Expand Up @@ -1190,14 +1190,14 @@ class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, E
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Sum);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Max);
class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Min);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, bool, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int32_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int64_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint32_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint64_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, float, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, double, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, MLFloat16, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, bool, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, int32_t, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, int64_t, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, uint32_t, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, uint64_t, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, float, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, double, Equal);
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, MLFloat16, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int32_t, Greater);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int64_t, Greater);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint32_t, Greater);
Expand Down Expand Up @@ -1568,6 +1568,14 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint8_t, Resize);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, 20, Scan);
class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, 20, Shape);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, bool, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, int32_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, int64_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint32_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint64_t, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, float, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, double, Equal);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, MLFloat16, Equal);

// Opset 20
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, Gelu);
Expand Down Expand Up @@ -1676,6 +1684,9 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain,
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, RoiAlign);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, RoiAlign);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, BFloat16, RoiAlign);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, Round);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, Round);
class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, Round);

// Opset 23.
class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 23, float, Attention);
Expand Down Expand Up @@ -2279,9 +2290,9 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, float, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, double, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 12, MLFloat16, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, float, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, double, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, MLFloat16, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, float, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, double, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 21, MLFloat16, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, 13, CumSum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, int64_t_int64_t_int64_t, OneHot)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 11, int64_t_float_int64_t, OneHot)>,
Expand Down Expand Up @@ -2393,14 +2404,14 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Sum)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Max)>,
BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, Min)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, bool, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, float, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, double, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, MLFloat16, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, bool, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, int32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, int64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, uint32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, uint64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, float, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, double, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, 18, MLFloat16, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int32_t, Greater)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, int64_t, Greater)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 13, uint32_t, Greater)>,
Expand Down Expand Up @@ -2772,6 +2783,14 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint8_t, Resize)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, 20, Scan)>,
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, 20, Shape)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, bool, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, int32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, int64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint32_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, uint64_t, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, float, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, double, Equal)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 19, MLFloat16, Equal)>,

// Opset 20
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 20, float, Gelu)>,
Expand Down Expand Up @@ -2880,6 +2899,9 @@ static Status RegisterCudaKernels(KernelRegistry& kernel_registry) {
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, RoiAlign)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, RoiAlign)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, BFloat16, RoiAlign)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, float, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, double, Round)>,
BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 22, MLFloat16, Round)>,

// Opset 23
BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCudaExecutionProvider, kOnnxDomain, 23, 23, float, Attention)>,
Expand Down
6 changes: 4 additions & 2 deletions onnxruntime/core/providers/cuda/math/binary_elementwise_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -579,8 +579,10 @@ Status LessOrEqual<T>::ComputeInternal(OpKernelContext* context) const {
return this->CompareMethod(context, &ImplT2_LessOrEqual);
}

BINARY_LOGICALOP_REGISTER_UZILHFD(Equal, 13)
BINARY_ELEMENTWISE_LOGICALOP_REGISTER_KERNEL_TYPED(Equal, 13, bool)
BINARY_LOGICALOP_REGISTER_VERSIONED_UZILHFD(Equal, 13, 18)
BINARY_ELEMENTWISE_LOGICALOP_REGISTER_KERNEL_VERSIONED_TYPED(Equal, 13, 18, bool)
BINARY_LOGICALOP_REGISTER_UZILHFD(Equal, 19)
BINARY_ELEMENTWISE_LOGICALOP_REGISTER_KERNEL_TYPED(Equal, 19, bool)
BINARY_OP_REGISTER_VERSIONED_UZILHFD(Equal, 11, 12)
BINARY_ELEMENTWISE_REGISTER_KERNEL_VERSIONED_TYPED(Equal, 11, 12, bool)
BINARY_OP_REGISTER_VERSIONED_OIL(Equal, 7, 10)
Expand Down
3 changes: 2 additions & 1 deletion onnxruntime/core/providers/cuda/math/unary_elementwise_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -249,7 +249,8 @@ UNARY_OP_HFDX(Erf, 13)
UNARY_OP_BWUZCSILHFDX(Sign, 13)

UNARY_LOGICALOP_NOT_TYPED(1, bool)
UNARY_OP_HFD(Round, 11)
UNARY_OP_VERSIONED_HFD(Round, 11, 21)
UNARY_OP_HFD(Round, 22)
UNARY_OP_HFD(Cos, 7)
UNARY_OP_HFD(Sin, 7)

Expand Down
121 changes: 121 additions & 0 deletions onnxruntime/test/providers/cpu/math/element_wise_ops_test.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -3674,6 +3674,127 @@ TEST(MathOpTest, Equal_string) {
test.Run();
}

#ifdef USE_CUDA
// Opset 19 tests for numeric types (CUDA EP)
TEST(MathOpTest, Equal_19_bool) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<bool>("A", dims, {false, true, false, true});
test.AddInput<bool>("B", dims, {false, false, true, true});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_int32) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<int32_t>("A", dims, {1, 0, -1, -1});
test.AddInput<int32_t>("B", dims, {1, 1, 2, -1});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_int64) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<int64_t>("A", dims, {1, 0, -1, -1});
test.AddInput<int64_t>("B", dims, {1, 1, 2, -1});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_float) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<float>("A", dims, {1.0f, 0.0f, -1.0f, -1.0f});
test.AddInput<float>("B", dims, {1.0f, 1.0f, 2.0f, -1.0f});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_double) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<double>("A", dims, {1.0, 0.0, -1.0, -1.0});
test.AddInput<double>("B", dims, {1.0, 1.0, 2.0, -1.0});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_float16) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
std::vector<int64_t> dims{4};
test.AddInput<MLFloat16>("A", dims, {MLFloat16(1.0f), MLFloat16(0.0f), MLFloat16(-1.0f), MLFloat16(-1.0f)});
test.AddInput<MLFloat16>("B", dims, {MLFloat16(1.0f), MLFloat16(1.0f), MLFloat16(2.0f), MLFloat16(-1.0f)});
test.AddOutput<bool>("C", dims, {true, false, false, true});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}

TEST(MathOpTest, Equal_19_broadcastAB) {
auto cuda_ep = DefaultCudaExecutionProvider();
if (!cuda_ep) {
return;
}

OpTester test("Equal", 19);
test.AddInput<int32_t>("A", {4, 2}, {1, 0, -1, -1, 1, 1, -1, 0});
test.AddInput<int32_t>("B", {2}, {1, 1});
test.AddOutput<bool>("C", {4, 2}, {true, false, false, false, true, true, false, false});

std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(std::move(cuda_ep));
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
#endif

#if defined(USE_DNNL)
TEST(MathOpTest, Equal_bfloat16) {
#ifdef USE_DNNL
Expand Down
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