merge changes from develop branch

test/onnx/lpnormalization_l1_test.onnx

+lpnormalization_l1_test:f
+!
+
x
y"LpNormalization*
+
p

lpnormalization_l1_testZ
+
x
+

+
+b
+
y
+

+
+B
\ No newline at end of file

test/onnx/lpnormalization_l2_test.onnx

+lpnormalization_l2_test:f
+!
+
x
y"LpNormalization*
+
p
lpnormalization_l2_testZ
+
x
+

+
+b
+
y
+

+
+B
\ No newline at end of file

test/onnx/lpnormalization_p_error_test.onnx

+lpnormalization_p_error_test:k
+!
+
x
y"LpNormalization*
+
p
lpnormalization_p_error_testZ
+
x
+

+
+b
+
y
+

+
+B
\ No newline at end of file

test/onnx/size_float_test.onnx

+size_float_test:I
+
+
x
y"Sizesize_float_testZ
+
x
+

+
+
+b
+
y
+
+
+
B
\ No newline at end of file

test/onnx/size_half_test.onnx

+size_half_test:D
+
+
x
y"Sizesize_half_testZ
+
x
+
+
+
+
b
+
y
+
+
+
B
\ No newline at end of file

test/onnx/size_int_test.onnx

+
size_int_test:G
+
+
x
y"Size
size_int_testZ
+
x
+
+
+
+b
+
y
+
+
+
B
\ No newline at end of file

test/onnx/size_verify_test.onnx

+size_verify_test:J
+
+
x
y"Sizesize_verify_testZ
+
x
+

+
+
+b
+
y
+
+
+
B
\ No newline at end of file

test/onnx/verify_onnx.cpp

@@ -45,6 +45,44 @@ TEST_CASE(averagepool_nt_cip_test)
     EXPECT(migraphx::verify_range(result_vector, gold));
 }
 
+TEST_CASE(celu_verify_test)
+{
+    migraphx::program p = migraphx::parse_onnx("celu_verify_test.onnx");
+    p.compile(migraphx::ref::target{});
+
+    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
+    std::vector<float> data = {-5.5, 2.0, 100., 7.0, 0., -1.};
+
+    migraphx::parameter_map pp;
+    pp["x"]     = migraphx::argument(s, data.data());
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> correct(6);
+    float alpha = 0.5;
+    std::transform(data.begin(), data.end(), correct.begin(), [&](auto x) {
+        return std::max(0.0f, x) + std::min(0.0f, alpha * std::expm1(x / alpha));
+    });
+    EXPECT(migraphx::verify_range(result_vector, correct));
+}
+
+TEST_CASE(clip_args_type_mismatch)
+{
+    auto p = migraphx::parse_onnx("clip_test_args_type_mismatch.onnx");
+    p.compile(migraphx::ref::target{});
+    migraphx::shape s_0{migraphx::shape::float_type, {3, 3}};
+    migraphx::parameter_map pp;
+    std::vector<float> data_0 = {0.9, 1.2, 1.7, 1.9, 2.2, 2.7, 2.9, 3.2, 3.7};
+    pp["0"]                   = migraphx::argument(s_0, data_0.data());
+    auto result               = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> gold = {1.5, 2, 2, 1.9, 2.5, 3, 2.9, 3.2, 3.7};
+    EXPECT(migraphx::verify_range(result_vector, gold));
+}
+
 TEST_CASE(depthtospace_simple_test)
 {
     auto p = migraphx::parse_onnx("depthtospace_simple_test.onnx");
@@ -103,6 +141,42 @@ TEST_CASE(spacetodepth_depthtospace_test)
     EXPECT(migraphx::verify_range(result_vector2, data_in));
 }
 
+TEST_CASE(eyelike_verify_test)
+{
+    migraphx::program p = migraphx::parse_onnx("eyelike_verify_test.onnx");
+    p.compile(migraphx::ref::target{});
+
+    migraphx::shape s{migraphx::shape::float_type, {3, 4}};
+    std::vector<float> data{12, 0};
+    migraphx::parameter_map pp;
+    pp["T1"] = migraphx::argument(s, data.data());
+
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> eyelike_mat = {0., 1., 0., 0., 0., 0., 1., 0., 0., 0., 0., 1.};
+    EXPECT(migraphx::verify_range(result_vector, eyelike_mat));
+}
+
+TEST_CASE(eyelike_verify_negk_test)
+{
+    migraphx::program p = migraphx::parse_onnx("eyelike_verify_negk_test.onnx");
+    p.compile(migraphx::ref::target{});
+
+    migraphx::shape s{migraphx::shape::float_type, {3, 4}};
+    std::vector<float> data{12, 0};
+    migraphx::parameter_map pp;
+    pp["T1"] = migraphx::argument(s, data.data());
+
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> eyelike_mat = {0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.};
+    EXPECT(migraphx::verify_range(result_vector, eyelike_mat));
+}
+
 TEST_CASE(gather_elements)
 {
     migraphx::program p = migraphx::parse_onnx("gather_elements_axis0_test.onnx");
@@ -393,6 +467,62 @@ TEST_CASE(lessorequal_test)
     EXPECT(migraphx::verify_range(result_vector, gold));
 }
 
+TEST_CASE(lpnormalization_1norm)
+{
+    migraphx::program p = migraphx::parse_onnx("lpnormalization_l1_test.onnx");
+    p.compile(migraphx::ref::target{});
+    migraphx::shape s{migraphx::shape::float_type, {3, 4}};
+    std::vector<float> data{0.f, 2.f, -2.f, 1.f, 1.f, -5.f, 3.f, -1.f, -4.f, 3.f, 0.f, 0.f};
+    migraphx::parameter_map pp;
+    pp["x"] = migraphx::argument(s, data.data());
+
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> gold{0.f,
+                            2.f / 5.f,
+                            -2.f / 5.f,
+                            1.f / 5.f,
+                            1.f / 10.f,
+                            -5.f / 10.f,
+                            3.f / 10.f,
+                            -1.f / 10.f,
+                            -4.f / 7.f,
+                            3.f / 7.f,
+                            0.f,
+                            0.f};
+    EXPECT(migraphx::verify_range(result_vector, gold));
+}
+
+TEST_CASE(lpnormalization_2norm)
+{
+    migraphx::program p = migraphx::parse_onnx("lpnormalization_l2_test.onnx");
+    p.compile(migraphx::ref::target{});
+    migraphx::shape s{migraphx::shape::float_type, {3, 4}};
+    std::vector<float> data{0.f, 2.f, -2.f, 1.f, 1.f, -5.f, 3.f, -1.f, -4.f, 3.f, 0.f, 0.f};
+    migraphx::parameter_map pp;
+    pp["x"] = migraphx::argument(s, data.data());
+
+    auto result = p.eval(pp).back();
+    std::vector<float> result_vector;
+    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
+
+    std::vector<float> correct{0.f,
+                               2.f / 3.f,
+                               -2.f / 3.f,
+                               1.f / 3.f,
+                               1.f / 6.f,
+                               -5.f / 6.f,
+                               3.f / 6.f,
+                               -1.f / 6.f,
+                               -4.f / 5.f,
+                               3.f / 5.f,
+                               0.f,
+                               0.f};
+    EXPECT(migraphx::verify_range(result_vector, correct));
+}
+
 TEST_CASE(mean_broadcast_test)
 {
     migraphx::program p = migraphx::parse_onnx("mean_broadcast_test.onnx");
@@ -588,6 +718,21 @@ TEST_CASE(selu_test)
     EXPECT(migraphx::verify_range(result_vector, gold));
 }
 
+TEST_CASE(size_verify_test)
+{
+    migraphx::program p = migraphx::parse_onnx("size_verify_test.onnx");
+    p.compile(migraphx::ref::target{});
+
+    migraphx::shape s{migraphx::shape::float_type, {2, 5, 3}};
+    std::vector<float> data(30, 1.);
+    migraphx::parameter_map pp;
+    pp["x"] = migraphx::argument(s, data.data());
+
+    auto result      = p.eval(pp).back();
+    auto size_result = result.at<int64_t>();
+    EXPECT(size_result == int64_t{30});
+}
+
 TEST_CASE(slice_test)
 {
     migraphx::program p = migraphx::parse_onnx("slice_test.onnx");

test/op_shape_test.cpp

@@ -570,10 +570,12 @@ TEST_CASE(inconsistent_attr_shape)
                                    {{"padding", {1, 1}}, {"stride", {2}}, {"dilation", {3, 3, 3}}}),
                  input,
                  weights);
-    throws_shape(
-        migraphx::make_op(
-            "pooling", {{"mode", "max"}, {"padding", {1}}, {"stride", {0}}, {"lengths", {1, 1}}}),
-        input);
+    throws_shape(migraphx::make_op("pooling",
+                                   {{"mode", migraphx::op::pooling_mode::max},
+                                    {"padding", {1}},
+                                    {"stride", {0}},
+                                    {"lengths", {1, 1}}}),
+                 input);
 }
 
 template <class T>
@@ -983,21 +985,24 @@ TEST_CASE(pooling_shape)
 {
     migraphx::shape output{migraphx::shape::float_type, {4, 3, 1, 1}};
     migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
-    throws_shape(
-        migraphx::make_op("pooling",
-                          {{"mode", "max"}, {"padding", {1}}, {"stride", {0}}, {"lengths", {1}}}),
-        input);
-    expect_shape(
-        output,
-        migraphx::make_op(
-            "pooling",
-            {{"mode", "max"}, {"padding", {0, 0}}, {"stride", {3, 3}}, {"lengths", {1, 1}}}),
-        input);
+    throws_shape(migraphx::make_op("pooling",
+                                   {{"mode", migraphx::op::pooling_mode::max},
+                                    {"padding", {1}},
+                                    {"stride", {0}},
+                                    {"lengths", {1}}}),
+                 input);
+    expect_shape(output,
+                 migraphx::make_op("pooling",
+                                   {{"mode", migraphx::op::pooling_mode::max},
+                                    {"padding", {0, 0}},
+                                    {"stride", {3, 3}},
+                                    {"lengths", {1, 1}}}),
+                 input);
 
     migraphx::shape output1{migraphx::shape::float_type, {4, 3, 2, 2}};
     expect_shape(output1,
                  migraphx::make_op("pooling",
-                                   {{"mode", "max"},
+                                   {{"mode", migraphx::op::pooling_mode::max},
                                     {"padding", {0, 0}},
                                     {"stride", {3, 3}},
                                     {"lengths", {1, 1}},

test/py/CMakeLists.txt

@@ -25,10 +25,11 @@ endforeach()
 
 add_py_test(ref test_cpu.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 add_py_test(save_load test_save_load.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
+add_py_test(op test_op.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
+add_py_test(shape test_shape.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 if(MIGRAPHX_ENABLE_GPU)
 add_py_test(gpu_offload test_gpu_offload.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 add_py_test(gpu test_gpu.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 add_py_test(array test_array.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 add_py_test(backend onnx_backend_test.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
-add_py_test(op test_op.py WORKING_DIRECTORY ${TEST_ONNX_DIR})
 endif()

test/py/onnx_backend_test.py

@@ -96,6 +96,7 @@ def create_backend_test(testname=None, target_device=None):
         backend_test.include(r'.*test_AvgPool.*')
         backend_test.include(r'.*test_BatchNorm.*eval.*')
         backend_test.include(r'.*test_ceil.*')
+        backend_test.include(r'.*test_celu.*')
         backend_test.include(r'.*test_clip.*')
         backend_test.include(r'.*test_concat.*')
         backend_test.include(r'.*test_constant.*')
@@ -111,6 +112,7 @@ def create_backend_test(testname=None, target_device=None):
         backend_test.include(r'.*test_equal.*')
         backend_test.include(r'.*test_Embedding*')
         backend_test.include(r'.*test_exp.*')
+        backend_test.include(r'.*test_eyelike.*')
         backend_test.include(r'.*test_flatten.*')
         backend_test.include(r'.*test_floor.*')
         backend_test.include(r'.*test_gather.*')
@@ -273,8 +275,6 @@ def create_backend_test(testname=None, target_device=None):
         backend_test.exclude(r'test_negative_log_likelihood_loss_*')
 
         # all reduce ops have dynamic axes inputs
-        backend_test.exclude(r'test_size_cpu')
-        backend_test.exclude(r'test_size_example_cpu')
         backend_test.exclude(r'test_softmax_cross_entropy_*')
         backend_test.exclude(r'test_Embedding_cpu')
 

test/py/test_shape.py

+import migraphx
+
+
+def test_create_shape():
+    s = migraphx.shape(lens=[1, 64, 3, 3])
+    assert s.standard()
+    assert s.packed()
+    assert s.lens() == [1, 64, 3, 3]
+
+
+def test_create_shape_broadcast():
+    s = migraphx.shape(lens=[1, 64, 3, 3], strides=[0, 1, 0, 0])
+    assert s.broadcasted()
+    assert s.lens() == [1, 64, 3, 3]
+    assert s.strides() == [0, 1, 0, 0]
+
+
+def test_create_shape_type():
+    s = migraphx.shape(type='uint8')
+    assert s.type_string() == 'uint8_type'
+    assert s.type_size() == 1

test/ref_ops_test.cpp

@@ -370,7 +370,7 @@ TEST_CASE(avgpool_test)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
-        auto op    = migraphx::op::pooling{"average"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
         op.lengths = {2};
         op.padding = {0};
         op.stride  = {1};
@@ -392,7 +392,7 @@ TEST_CASE(avgpool_test)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 4}};
-        auto op    = migraphx::op::pooling{"average"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
         op.lengths = {2};
         op.padding = {1};
         op.stride  = {2};
@@ -439,7 +439,7 @@ TEST_CASE(avgpool_test)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
-        auto op    = migraphx::op::pooling{"average"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
         op.lengths = {2, 2, 2};
         op.padding = {0, 0, 0};
         op.stride  = {1, 1, 1};
@@ -1658,7 +1658,7 @@ TEST_CASE(globalavgpool_test)
     migraphx::program p;
     auto* mm   = p.get_main_module();
     auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}};
-    auto op    = migraphx::op::pooling{"average"};
+    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
     auto lens  = s.lens();
     op.lengths = {lens[2], lens[3]};
 
@@ -1679,7 +1679,7 @@ TEST_CASE(globalmaxpool_test)
     migraphx::program p;
     auto* mm   = p.get_main_module();
     auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}};
-    auto op    = migraphx::op::pooling{"max"};
+    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
     auto lens  = s.lens();
     op.lengths = {lens[2], lens[3]};
 
@@ -2582,11 +2582,12 @@ TEST_CASE(maxpool_test)
                             0.52119428, 2.07681108, 0.88494766, 1.51522756, 0.54275119, 0.6629802};
     migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 6, 6}};
     auto al = mm->add_literal(migraphx::literal{a_shape, a});
-    mm->add_instruction(
-        migraphx::make_op(
-            "pooling",
-            {{"mode", "max"}, {"padding", {0, 0}}, {"stride", {2, 2}}, {"lengths", {3, 2}}}),
-        al);
+    mm->add_instruction(migraphx::make_op("pooling",
+                                          {{"mode", migraphx::op::pooling_mode::max},
+                                           {"padding", {0, 0}},
+                                           {"stride", {2, 2}},
+                                           {"lengths", {3, 2}}}),
+                        al);
     p.compile(migraphx::ref::target{});
     auto result = p.eval({}).back();
     std::vector<float> results_vector(36);
@@ -2601,7 +2602,7 @@ TEST_CASE(maxpool_test_1D_3D)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
-        auto op    = migraphx::op::pooling{"max"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
         op.lengths = {2};
         op.padding = {0};
         op.stride  = {1};
@@ -2623,7 +2624,7 @@ TEST_CASE(maxpool_test_1D_3D)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
-        auto op    = migraphx::op::pooling{"max"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
         op.lengths = {2};
         op.padding = {0};
         op.stride  = {2};
@@ -2647,7 +2648,7 @@ TEST_CASE(maxpool_test_1D_3D)
         migraphx::program p;
         auto* mm     = p.get_main_module();
         auto s       = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
-        auto op      = migraphx::op::pooling{"max"};
+        auto op      = migraphx::op::pooling{migraphx::op::pooling_mode::max};
         op.lengths   = {2};
         op.padding   = {0};
         op.stride    = {2};
@@ -2683,7 +2684,7 @@ TEST_CASE(maxpool_test_1D_3D)
         migraphx::program p;
         auto* mm   = p.get_main_module();
         auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
-        auto op    = migraphx::op::pooling{"max"};
+        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
         op.lengths = {2, 2, 2};
         op.padding = {0, 0, 0};
         op.stride  = {2, 2, 2};
@@ -4037,9 +4038,10 @@ TEST_CASE(roialign_out_of_bound_test)
 
 TEST_CASE(roialign_test)
 {
-    auto create_program = [](const std::string& trans_mode   = "half_pixel",
-                             const std::string& pooling_mode = "avg",
-                             int64_t sampling_ratio          = 2) {
+    auto create_program = [](const std::string& trans_mode = "half_pixel",
+                             const migraphx::op::pooling_mode pooling_mode =
+                                 migraphx::op::pooling_mode::average,
+                             int64_t sampling_ratio = 2) {
         migraphx::program p;
         auto* mm = p.get_main_module();
         migraphx::shape x_s{migraphx::shape::float_type, {1, 1, 10, 10}};
@@ -4125,7 +4127,7 @@ TEST_CASE(roialign_test)
     }
 
     {
-        auto p = create_program("output_half_pixel", "max", 0);
+        auto p = create_program("output_half_pixel", migraphx::op::pooling_mode::max, 0);
         p.compile(migraphx::ref::target{});
         auto result = p.eval({}).back();
         std::vector<float> results_vector;

test/rewrite_pooling_test.cpp

 #include <migraphx/rewrite_pooling.hpp>
+#include <migraphx/op/pooling.hpp>
 #include <migraphx/dead_code_elimination.hpp>
 #include <migraphx/program.hpp>
 #include <migraphx/ref/target.hpp>
@@ -22,7 +23,7 @@ static void opt_pooling(migraphx::module& m)
 TEST_CASE(rewrite_pooling_test)
 {
     migraphx::shape s{migraphx::shape::float_type, {2, 2, 3, 4, 5}};
-    auto pooling_program = [&](const std::string& mode) {
+    auto pooling_program = [&](const migraphx::op::pooling_mode mode) {
         migraphx::module m;
         auto input = m.add_parameter("x", s);
         auto ret   = m.add_instruction(migraphx::make_op("pooling",
@@ -46,15 +47,16 @@ TEST_CASE(rewrite_pooling_test)
         return m;
     };
 
-    auto test_rewrite = [&](const std::string& mode, const migraphx::operation& op) {
+    auto test_rewrite = [&](const migraphx::op::pooling_mode mode, const migraphx::operation& op) {
         migraphx::module m1 = pooling_program(mode);
         migraphx::module m2 = opt_program(op);
         opt_pooling(m1);
         EXPECT(m1 == m2);
     };
 
-    test_rewrite("average", migraphx::make_op("reduce_mean", {{"axes", {1}}}));
-    test_rewrite("max", migraphx::make_op("reduce_max", {{"axes", {1}}}));
+    test_rewrite(migraphx::op::pooling_mode::average,
+                 migraphx::make_op("reduce_mean", {{"axes", {1}}}));
+    test_rewrite(migraphx::op::pooling_mode::max, migraphx::make_op("reduce_max", {{"axes", {1}}}));
 }
 
 TEST_CASE(rewrite_avepooling_na1_test)
@@ -64,12 +66,13 @@ TEST_CASE(rewrite_avepooling_na1_test)
         migraphx::module m;
 
         auto input = m.add_parameter("x", s);
-        auto ret   = m.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "average"},
-                                                        {"padding", {0, 1, 0}},
-                                                        {"stride", {1, 1, 1}},
-                                                        {"lengths", {3, 4, 5}}}),
-                                     input);
+        auto ret =
+            m.add_instruction(migraphx::make_op("pooling",
+                                                {{"mode", migraphx::op::pooling_mode::average},
+                                                 {"padding", {0, 1, 0}},
+                                                 {"stride", {1, 1, 1}},
+                                                 {"lengths", {3, 4, 5}}}),
+                              input);
         m.add_return({ret});
         return m;
     };
@@ -88,12 +91,13 @@ TEST_CASE(rewrite_avepooling_na2_test)
         migraphx::module m;
 
         auto input = m.add_parameter("x", s);
-        auto ret   = m.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "average"},
-                                                        {"padding", {0, 0, 0}},
-                                                        {"stride", {1, 2, 1}},
-                                                        {"lengths", {3, 4, 5}}}),
-                                     input);
+        auto ret =
+            m.add_instruction(migraphx::make_op("pooling",
+                                                {{"mode", migraphx::op::pooling_mode::average},
+                                                 {"padding", {0, 0, 0}},
+                                                 {"stride", {1, 2, 1}},
+                                                 {"lengths", {3, 4, 5}}}),
+                              input);
         m.add_return({ret});
         return m;
     };
@@ -113,7 +117,7 @@ TEST_CASE(rewrite_avepooling_na3_test)
 
         auto input = m.add_parameter("x", s);
         auto ret   = m.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "max"},
+                                                       {{"mode", migraphx::op::pooling_mode::max},
                                                         {"padding", {0, 0, 0}},
                                                         {"stride", {1, 1, 1}},
                                                         {"lengths", {3, 3, 5}}}),
@@ -135,7 +139,7 @@ TEST_CASE(literal_rewrite_pooling_test)
     std::vector<float> data(s.elements());
     std::iota(data.begin(), data.end(), 1.0f);
 
-    auto pooling_program = [&](const std::string& mode) {
+    auto pooling_program = [&](const migraphx::op::pooling_mode mode) {
         migraphx::program p;
 
         auto* mm   = p.get_main_module();
@@ -163,7 +167,8 @@ TEST_CASE(literal_rewrite_pooling_test)
         return p;
     };
 
-    auto test_rewrite_pooling = [&](const std::string& mode, const migraphx::operation& op) {
+    auto test_rewrite_pooling = [&](const migraphx::op::pooling_mode mode,
+                                    const migraphx::operation& op) {
         migraphx::program p1 = pooling_program(mode);
         migraphx::program p2 = opt_program(op);
         p1.compile(migraphx::ref::target{});
@@ -174,8 +179,10 @@ TEST_CASE(literal_rewrite_pooling_test)
                   result2)([&](auto r1, auto r2) { EXPECT(migraphx::verify_range(r1, r2)); });
     };
 
-    test_rewrite_pooling("max", migraphx::make_op("reduce_max", {{"axes", {1}}}));
-    test_rewrite_pooling("average", migraphx::make_op("reduce_mean", {{"axes", {1}}}));
+    test_rewrite_pooling(migraphx::op::pooling_mode::max,
+                         migraphx::make_op("reduce_max", {{"axes", {1}}}));
+    test_rewrite_pooling(migraphx::op::pooling_mode::average,
+                         migraphx::make_op("reduce_mean", {{"axes", {1}}}));
 }
 
 int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/simplify_qdq_test.cpp

@@ -4,6 +4,7 @@
 #include <migraphx/instruction.hpp>
 #include <test.hpp>
 #include <migraphx/make_op.hpp>
+#include <migraphx/op/pooling.hpp>
 #include <migraphx/dead_code_elimination.hpp>
 #include <migraphx/pass_manager.hpp>
 #include <migraphx/matcher.hpp>
@@ -462,14 +463,15 @@ TEST_CASE(conv_pooling_dot)
                                      d1);
         auto bc1 = m1.add_instruction(
             migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 1280, 7, 7}}}), d2);
-        auto a1  = m1.add_instruction(migraphx::make_op("add"), c1, bc1);
-        auto ap  = m1.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "average"},
-                                                        {"padding", {0, 0, 0, 0}},
-                                                        {"stride", {1, 1}},
-                                                        {"lengths", {7, 7}},
-                                                        {"ceil_mode", 0}}),
-                                     a1);
+        auto a1 = m1.add_instruction(migraphx::make_op("add"), c1, bc1);
+        auto ap =
+            m1.add_instruction(migraphx::make_op("pooling",
+                                                 {{"mode", migraphx::op::pooling_mode::average},
+                                                  {"padding", {0, 0, 0, 0}},
+                                                  {"stride", {1, 1}},
+                                                  {"lengths", {7, 7}},
+                                                  {"ceil_mode", 0}}),
+                               a1);
         auto fl  = m1.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
         auto q4  = add_quantize_op(m1, "quantizelinear", fl, scale, zero);
         auto d8  = add_quantize_op(m1, "dequantizelinear", q4, scale, zero);
@@ -508,14 +510,15 @@ TEST_CASE(conv_pooling_dot)
         auto d5  = add_quantize_op(m2, "dequantizelinear", c1, scale1);
         auto bc1 = m2.add_instruction(
             migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 1280, 7, 7}}}), d2);
-        auto a1  = m2.add_instruction(migraphx::make_op("add"), d5, bc1);
-        auto ap  = m2.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "average"},
-                                                        {"padding", {0, 0, 0, 0}},
-                                                        {"stride", {1, 1}},
-                                                        {"lengths", {7, 7}},
-                                                        {"ceil_mode", 0}}),
-                                     a1);
+        auto a1 = m2.add_instruction(migraphx::make_op("add"), d5, bc1);
+        auto ap =
+            m2.add_instruction(migraphx::make_op("pooling",
+                                                 {{"mode", migraphx::op::pooling_mode::average},
+                                                  {"padding", {0, 0, 0, 0}},
+                                                  {"stride", {1, 1}},
+                                                  {"lengths", {7, 7}},
+                                                  {"ceil_mode", 0}}),
+                               a1);
         auto fl  = m2.add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), ap);
         auto q4  = add_quantize_op(m2, "quantizelinear", fl, scale, zero);
         auto dot = m2.add_instruction(migraphx::make_op("quant_dot"), q4, db);
@@ -564,16 +567,17 @@ TEST_CASE(mobilenet_snippet)
                                      d1);
         auto bc1 = mm.add_instruction(
             migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 1280, 7, 7}}}), d2);
-        auto a1  = mm.add_instruction(migraphx::make_op("add"), c1, bc1);
-        auto q2  = add_quantize_op(mm, "quantizelinear", a1, scale, zero);
-        auto d6  = add_quantize_op(mm, "dequantizelinear", q2, scale, zero);
-        auto ap  = mm.add_instruction(migraphx::make_op("pooling",
-                                                       {{"mode", "average"},
-                                                        {"padding", {0, 0, 0, 0}},
-                                                        {"stride", {1, 1}},
-                                                        {"lengths", {7, 7}},
-                                                        {"ceil_mode", 0}}),
-                                     d6);
+        auto a1 = mm.add_instruction(migraphx::make_op("add"), c1, bc1);
+        auto q2 = add_quantize_op(mm, "quantizelinear", a1, scale, zero);
+        auto d6 = add_quantize_op(mm, "dequantizelinear", q2, scale, zero);
+        auto ap =
+            mm.add_instruction(migraphx::make_op("pooling",
+                                                 {{"mode", migraphx::op::pooling_mode::average},
+                                                  {"padding", {0, 0, 0, 0}},
+                                                  {"stride", {1, 1}},
+                                                  {"lengths", {7, 7}},
+                                                  {"ceil_mode", 0}}),
+                               d6);
         auto q3  = add_quantize_op(mm, "quantizelinear", ap, scale, zero);
         auto d7  = add_quantize_op(mm, "dequantizelinear", q3, scale, zero);
         auto rs  = mm.add_instruction(migraphx::make_op("reshape", {{"dims", {1, -1}}}), d7);

test/tf/tf_test.cpp

@@ -649,8 +649,8 @@ TEST_CASE(pooling_test)
 
     auto* mm = p.get_main_module();
     auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
-    migraphx::op::pooling avg_pool_op{"average"};
-    migraphx::op::pooling max_pool_op{"max"};
+    migraphx::op::pooling avg_pool_op{migraphx::op::pooling_mode::average};
+    migraphx::op::pooling max_pool_op{migraphx::op::pooling_mode::max};
     avg_pool_op.stride  = {2, 2};
     max_pool_op.stride  = {2, 2};
     avg_pool_op.lengths = {2, 2};

test/verify/test_avg_pooling_1d.cpp

@@ -12,7 +12,7 @@ struct test_avg_pooling_1d : verify_program<test_avg_pooling_1d>
         auto* mm = p.get_main_module();
         auto input =
             mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5}});
-        auto op = migraphx::op::pooling{"average", {0}, {1}, {3}};
+        auto op = migraphx::op::pooling{migraphx::op::pooling_mode::average, {0}, {1}, {3}};
         mm->add_instruction(op, input);
         return p;
     }

test/verify/test_avg_pooling_3d.cpp

@@ -12,7 +12,8 @@ struct test_avg_pooling_3d : verify_program<test_avg_pooling_3d>
         auto* mm = p.get_main_module();
         auto input =
             mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 3, 5, 5, 5}});
-        auto op = migraphx::op::pooling{"average", {1, 1, 1}, {3, 3, 3}, {3, 3, 3}};
+        auto op = migraphx::op::pooling{
+            migraphx::op::pooling_mode::average, {1, 1, 1}, {3, 3, 3}, {3, 3, 3}};
         mm->add_instruction(op, input);
         return p;
     }