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Fix memory access violations in the CPU float16 min and max operators #22135

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Fix memory access violations in the CPU float16 min and max operators #22135

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025e422
Fix incorrect output size in float16 min/max operations
adamreeve Jul 30, 2024
8c00cd9
Make some tests have a different number of rows to columns
adamreeve Sep 19, 2024
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6 changes: 3 additions & 3 deletions onnxruntime/core/providers/cpu/math/element_wise_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -748,7 +748,7 @@ static Status MinMaxMLFloat16(const OpKernel& inst, OpKernelContext* context) {

ProcessBroadcastSpanFuncs funcs{
[](BroadcastHelper& per_iter_bh) {
auto num_elements = per_iter_bh.NumOutputElements();
auto num_elements = per_iter_bh.EigenInput1<MLFloat16>().rows();

const auto* input_1 = reinterpret_cast<const Eigen::half*>(per_iter_bh.EigenInput1<MLFloat16>().data());
ConstEigenVectorArrayMap<Eigen::half> input_1_vec_map(input_1, num_elements);
Expand All @@ -763,7 +763,7 @@ static Status MinMaxMLFloat16(const OpKernel& inst, OpKernelContext* context) {
}
},
[](BroadcastHelper& per_iter_bh) {
auto num_elements = per_iter_bh.NumOutputElements();
auto num_elements = per_iter_bh.EigenInput0<MLFloat16>().rows();

const auto* input_0 = reinterpret_cast<const Eigen::half*>(per_iter_bh.EigenInput0<MLFloat16>().data());
ConstEigenVectorArrayMap<Eigen::half> input_0_vec_map(input_0, num_elements);
Expand All @@ -778,7 +778,7 @@ static Status MinMaxMLFloat16(const OpKernel& inst, OpKernelContext* context) {
}
},
[](BroadcastHelper& per_iter_bh) {
auto num_elements = per_iter_bh.NumOutputElements();
auto num_elements = per_iter_bh.EigenInput0<MLFloat16>().rows();

const auto* input_0 = reinterpret_cast<const Eigen::half*>(per_iter_bh.EigenInput0<MLFloat16>().data());
ConstEigenVectorArrayMap<Eigen::half> input_0_vec_map(input_0, num_elements);
Expand Down
98 changes: 98 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 @@ -1787,6 +1787,54 @@ TEST(MathOpTest, Min_12_MLFloat16_Scalar1) {
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider}); // TensorRT: Input batch size is inconsistent
}

TEST(MathOpTest, Min_12_MLFloat16_MatrixVector) {
OpTester test("Min", 12);
test.AddInput<MLFloat16>("data_0", {3, 3},
MakeMLFloat16({1.0f, 1.0f, 1.0f,
-0.5f, 0.0f, -2.0f,
0.5f, 0.0f, 2.0f}));
test.AddInput<MLFloat16>("data_1", {3, 1},
MakeMLFloat16({0.0f, -1.0f, 1.0f}));
test.AddOutput<MLFloat16>("min", {3, 3},
MakeMLFloat16({0.0f, 0.0f, 0.0f,
-1.0f, -1.0f, -2.0f,
0.5f, 0.0f, 1.0f}));
if (nullptr != DefaultCpuExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCpuExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
if (nullptr != DefaultCudaExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCudaExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
}

TEST(MathOpTest, Min_12_MLFloat16_VectorMatrix) {
OpTester test("Min", 12);
test.AddInput<MLFloat16>("data_0", {3, 1},
MakeMLFloat16({0.0f, -1.0f, 1.0f}));
test.AddInput<MLFloat16>("data_1", {3, 4},
MakeMLFloat16({1.0f, 1.0f, 1.0f, -1.0f,
-0.5f, 0.0f, -2.0f, -1.25f,
0.5f, 0.0f, 2.0f, 1.5f}));
test.AddOutput<MLFloat16>("min", {3, 4},
MakeMLFloat16({0.0f, 0.0f, 0.0f, -1.0f,
-1.0f, -1.0f, -2.0f, -1.25f,
0.5f, 0.0f, 1.0f, 1.0f}));
if (nullptr != DefaultCpuExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCpuExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
if (nullptr != DefaultCudaExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCudaExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
}

TEST(MathOpTest, Max_6) {
OpTester test("Max", 6);
std::vector<int64_t> dims{3, 3};
Expand Down Expand Up @@ -2137,6 +2185,56 @@ TEST(MathOpTest, Max_12_MLFloat16_Scalar1) {
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {kTensorrtExecutionProvider}); // TensorRT: Input batch size is inconsistent
}

TEST(MathOpTest, Max_12_MLFloat16_MatrixVector) {
OpTester test("Max", 12);
test.AddInput<MLFloat16>("data_0", {4, 3},
MakeMLFloat16({1.0f, 1.0f, 1.0f,
-0.5f, 0.0f, -2.0f,
0.0f, 0.5f, 0.75f,
0.5f, 0.0f, 2.0f}));
test.AddInput<MLFloat16>("data_1", {4, 1},
MakeMLFloat16({0.0f, -1.0f, 0.5f, 1.0f}));
test.AddOutput<MLFloat16>("max", {4, 3},
MakeMLFloat16({1.0f, 1.0f, 1.0f,
-0.5f, 0.0f, -1.0f,
0.5f, 0.5f, 0.75f,
1.0f, 1.0f, 2.0f}));
if (nullptr != DefaultCpuExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCpuExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
if (nullptr != DefaultCudaExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCudaExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
}

TEST(MathOpTest, Max_12_MLFloat16_VectorMatrix) {
OpTester test("Max", 12);
test.AddInput<MLFloat16>("data_0", {3, 1},
MakeMLFloat16({0.0f, -1.0f, 1.0f}));
test.AddInput<MLFloat16>("data_1", {3, 3},
MakeMLFloat16({1.0f, 1.0f, 1.0f,
-0.5f, 0.0f, -2.0f,
0.5f, 0.0f, 2.0f}));
test.AddOutput<MLFloat16>("max", {3, 3},
MakeMLFloat16({1.0f, 1.0f, 1.0f,
-0.5f, 0.0f, -1.0f,
1.0f, 1.0f, 2.0f}));
if (nullptr != DefaultCpuExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCpuExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
if (nullptr != DefaultCudaExecutionProvider()) {
std::vector<std::unique_ptr<IExecutionProvider>> execution_providers;
execution_providers.push_back(DefaultCudaExecutionProvider());
test.Run(OpTester::ExpectResult::kExpectSuccess, "", {}, nullptr, &execution_providers);
}
}

TEST(MathOpTest, Not) {
OpTester test("Not");
std::vector<int64_t> dims{2};
Expand Down
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