Merge branch 'develop' into add_parity_check_ci

src/verify_args.cpp

@@ -78,16 +78,6 @@ bool verify_args(const std::string& name,
             if(verify::range_zero(target))
                 std::cout << "Target data is all zeros" << std::endl;
 
-            // auto mxdiff = max_diff(ref, target);
-            // std::cout << "Max diff: " << mxdiff << std::endl;
-
-            // auto idx = mismatch_idx(ref, target, float_equal);
-            // if(idx < verify::range_distance(ref))
-            // {
-            //     std::cout << "Mismatch at " << idx << ": " << ref[idx] << " != " << target[idx]
-            //               << std::endl;
-            // }
-
             auto ref_nan_idx = find_idx(ref, verify::not_finite);
             if(ref_nan_idx >= 0)
                 std::cout << "Non finite number found in ref at " << ref_nan_idx << ": "
@@ -97,7 +87,7 @@ bool verify_args(const std::string& name,
             if(target_nan_idx >= 0)
                 std::cout << "Non finite number found in target at " << target_nan_idx << ": "
                           << target[target_nan_idx] << std::endl;
-            // std::cout << std::endl;
+            std::cout << "MIGraphX verification passed successfully." << std::endl;
         }
     });
     return passed;

test/CMakeLists.txt

@@ -31,6 +31,11 @@ set(CTEST_PARALLEL_LEVEL ${N} CACHE STRING "CTest parallel level")
 add_custom_target(check COMMAND ${CMAKE_CTEST_COMMAND} --output-on-failure -j ${CTEST_PARALLEL_LEVEL} -C ${CMAKE_CFG_INTDIR} --timeout 5000)
 add_custom_target(tests)
 
+set(MIGRAPHX_DISABLE_LARGE_BUFFER_TESTS Off CACHE BOOL "")
+if(MIGRAPHX_DISABLE_LARGE_BUFFER_TESTS)
+    add_compile_definitions(MIGRAPHX_DISABLE_LARGE_BUFFER_TESTS)
+endif()
+
 find_program(MIGRAPHX_GDB gdb)
 
 if(MIGRAPHX_GDB)
@@ -98,17 +103,11 @@ endfunction()
 
 function(add_test_executable TEST_NAME)
     add_executable(${TEST_NAME} EXCLUDE_FROM_ALL ${ARGN})
-    target_link_libraries(${TEST_NAME} ${CMAKE_THREAD_LIBS_INIT})
-
-    # Cmake does not add flags correctly for gcc
-    if(CMAKE_CXX_COMPILER_ID MATCHES "GNU")
-        set_target_properties(${TEST_NAME} PROPERTIES COMPILE_FLAGS -pthread LINK_FLAGS -pthread)
-    endif()
     set(TEST_COMMAND ${TEST_NAME})
     add_test_command(${TEST_NAME} ${TEST_COMMAND})
     add_dependencies(tests ${TEST_NAME})
     add_dependencies(check ${TEST_NAME})
-    target_link_libraries(${TEST_NAME} migraphx migraphx_onnx migraphx_ref)
+    target_link_libraries(${TEST_NAME} Threads::Threads migraphx migraphx_onnx migraphx_ref)
     target_include_directories(${TEST_NAME} PUBLIC include)
 endfunction(add_test_executable)
 
@@ -183,6 +182,7 @@ add_dependencies(check test_tf)
 
 add_subdirectory(api)
 add_subdirectory(verify)
+add_subdirectory(ref)
 
 if(MIGRAPHX_ENABLE_PYTHON)
     add_subdirectory(py)
@@ -208,11 +208,16 @@ endif()
 
 
 function(test_header NAME HEADER)
-    file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/header-main-include-${NAME}.cpp
-        "#include <${HEADER}>\nint main() {}\n"
+    file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/header-main-include-${NAME}.cpp "
+#include <${HEADER}>
+int main() {}\n"
     )
-    file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/header-static-include-${NAME}.cpp
-        "#include <${HEADER}>\n"
+    file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/header-static-include-${NAME}.cpp "
+#include <${HEADER}>
+#if defined(min) || defined(max) || defined(near) || defined(far)
+#error \"Do not include windows.h in header files\"
+#endif
+\n"
     )
     add_test_executable(${NAME}
         ${CMAKE_CURRENT_BINARY_DIR}/header-main-include-${NAME}.cpp

test/api/CMakeLists.txt

@@ -36,7 +36,7 @@ endfunction()
 function(add_c_api_test TEST_NAME TEST_SRC TEST_DIR)
     set(NAME test_api_${TEST_NAME})
     add_executable(${NAME} EXCLUDE_FROM_ALL ${TEST_SRC})
-    target_link_libraries(${NAME} migraphx_c migraphx)
+    target_link_libraries(${NAME} migraphx_c)
     target_include_directories(${NAME} PUBLIC ../include)
     add_test(NAME ${NAME} COMMAND $<TARGET_FILE:${NAME}> WORKING_DIRECTORY ${TEST_DIR}) 
     add_dependencies(tests ${NAME})

test/api/test_cpu.cpp

@@ -145,15 +145,15 @@ TEST_CASE(zero_parameter)
 
 TEST_CASE(set_scalar_parameter)
 {
-    auto p1 = migraphx::parse_onnx("add_bcast_test.onnx");
-    migraphx::shape s1(migraphx_shape_float_type, {3, 4});
+    auto p1 = migraphx::parse_onnx("implicit_add_bcast_test.onnx");
+    migraphx::shape s1(migraphx_shape_float_type, {3, 4, 1});
     auto param_shapes = p1.get_parameter_shapes();
     auto s1_orig      = param_shapes["1"];
     CHECK(bool{s1 == s1_orig});
 
     migraphx::onnx_options option;
     option.set_input_parameter_shape("1", {});
-    auto p2 = migraphx::parse_onnx("add_bcast_test.onnx", option);
+    auto p2 = migraphx::parse_onnx("implicit_add_bcast_test.onnx", option);
     migraphx::shape s_scalar(migraphx_shape_float_type);
     auto param_shapes_1 = p2.get_parameter_shapes();
     auto s_scalar_after = param_shapes_1["1"];

test/api/test_custom_op.cpp

@@ -99,7 +99,7 @@ TEST_CASE(run_sigmoid_custom_op)
     EXPECT(bool{result == migraphx::argument(s, expected_result.data())});
 }
 
-extern "C" void migraphx_test_private_disable_exception_catch(bool b);
+extern "C" MIGRAPHX_C_EXPORT void migraphx_test_private_disable_exception_catch(bool);
 
 TEST_CASE(run_sigmoid_with_incorrect_shape)
 {

test/check_shapes_test.cpp

@@ -31,24 +31,39 @@
 
 using migraphx::shape;
 
-bool create_shapes(bool dynamic_allowed)
+void create_shapes(bool dynamic_allowed)
 {
-    try
-    {
-        shape a{shape::int64_type, {3}};
-        shape b{shape::float_type, {{3, 6}, {4, 4}}};
-        auto op = migraphx::make_op("add");
-        migraphx::check_shapes{{a, b}, op, dynamic_allowed}.has(2);
-        return true;
-    }
-    catch(...)
-    {
-        return false;
-    }
+    shape a{shape::int64_type, {3}};
+    shape b{shape::float_type, {{3, 6}, {4, 4}}};
+    migraphx::check_shapes{{a, b}, "", dynamic_allowed}.has(2);
 }
 
-TEST_CASE(allow_dynamic_shape) { EXPECT(create_shapes(true)); }
+TEST_CASE(allow_dynamic_shape)
+{
+    EXPECT(not test::throws([] { create_shapes(true); }));
+}
+
+TEST_CASE(fail_dynamic_shape)
+{
+    EXPECT(test::throws([] { create_shapes(false); }));
+}
 
-TEST_CASE(fail_dynamic_shape) { EXPECT(not create_shapes(false)); }
+TEST_CASE(same_layout_fail)
+{
+    EXPECT(test::throws([] {
+        shape a{shape::float_type, {2, 3}};
+        shape b{shape::float_type, {2, 3}, {1, 2}};
+        migraphx::check_shapes{{a, b}, ""}.same_layout();
+    }));
+}
+
+TEST_CASE(same_layout_pass)
+{
+    EXPECT(not test::throws([] {
+        shape a{shape::float_type, {2, 3}, {1, 2}};
+        shape b{shape::float_type, {2, 3}, {1, 2}};
+        migraphx::check_shapes{{a, b}, ""}.same_layout();
+    }));
+}
 
 int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/common_dims.cpp

+/*
+ * The MIT License (MIT)
+ *
+ * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ */
+#include <migraphx/common_dims.hpp>
+#include <test.hpp>
+
+using axes_map = std::vector<std::vector<std::size_t>>;
+
+TEST_CASE(common_d1_less)
+{
+    auto cd = migraphx::common_dims::compute({2, 32, 40, 8}, {2, 1280, 8});
+    EXPECT(cd.dims == std::vector<std::size_t>{2, 32, 40, 8});
+    EXPECT(cd.axes_map1 == axes_map{{0}, {1}, {2}, {3}});
+    EXPECT(cd.axes_map2 == axes_map{{0}, {1, 2}, {3}});
+}
+
+TEST_CASE(common1)
+{
+    auto cd = migraphx::common_dims::compute({2, 32, 2560}, {2, 1280, 8, 8});
+    EXPECT(cd.dims == std::vector<std::size_t>{2, 32, 40, 8, 8});
+    EXPECT(cd.axes_map1 == axes_map{{0}, {1}, {2, 3, 4}});
+    EXPECT(cd.axes_map2 == axes_map{{0}, {1, 2}, {3}, {4}});
+}
+
+TEST_CASE(common2)
+{
+    auto cd = migraphx::common_dims::compute({2, 1280, 8, 8}, {2, 32, 2560});
+    EXPECT(cd.dims == std::vector<std::size_t>{2, 32, 40, 8, 8});
+    EXPECT(cd.axes_map1 == axes_map{{0}, {1, 2}, {3}, {4}});
+    EXPECT(cd.axes_map2 == axes_map{{0}, {1}, {2, 3, 4}});
+}
+
+TEST_CASE(common_error1)
+{
+    auto cd = migraphx::common_dims::compute({6, 35}, {3, 7, 2, 5});
+    EXPECT(cd.dims.empty());
+}
+
+TEST_CASE(common_error2)
+{
+    auto cd = migraphx::common_dims::compute({3, 7, 2, 5}, {6, 35});
+    EXPECT(cd.dims.empty());
+}
+
+int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/eliminate_contiguous_test.cpp

@@ -196,15 +196,47 @@ TEST_CASE(contiguous_pointwise)
             migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {2, 3, 8, 8}}}), y);
         auto yc  = mm->add_instruction(migraphx::make_op("contiguous"), yb);
         auto add = add_pointwise(p, "main:pointwise0", {x, yc}, single_pointwise("add"));
-        mm->add_instruction(pass_op{}, add);
+        auto cadd = mm->add_instruction(migraphx::make_op("contiguous"), add);
+        mm->add_instruction(pass_op{}, cadd);
     }
     auto count = std::distance(mm->begin(), mm->end());
     run_pass(*mm);
-    EXPECT(std::distance(mm->begin(), mm->end()) == (count - 1));
+    EXPECT(std::distance(mm->begin(), mm->end()) == (count - 2));
     EXPECT(std::none_of(
         mm->begin(), mm->end(), [](auto&& ins) { return ins.name() == "contiguous"; }));
 }
 
+TEST_CASE(contiguous_nhwc_pointwise)
+{
+    auto s =
+        migraphx::shape::from_permutation(migraphx::shape::float_type, {2, 3, 8, 8}, {0, 2, 3, 1});
+    migraphx::program p1;
+    {
+        auto* mm = p1.get_main_module();
+        auto x   = mm->add_parameter("x", s);
+        auto y   = mm->add_parameter("y", migraphx::shape{migraphx::shape::float_type, {3}});
+        auto yb  = mm->add_instruction(
+            migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {2, 3, 8, 8}}}), y);
+        auto yc   = mm->add_instruction(migraphx::make_op("contiguous"), yb);
+        auto add  = add_pointwise(p1, "main:pointwise0", {x, yc}, single_pointwise("add"));
+        auto cadd = mm->add_instruction(migraphx::make_op("contiguous"), add);
+        mm->add_instruction(pass_op{}, cadd);
+    }
+    run_pass(*p1.get_main_module());
+    migraphx::program p2;
+    {
+        auto* mm = p2.get_main_module();
+        auto x   = mm->add_parameter("x", s);
+        auto y   = mm->add_parameter("y", migraphx::shape{migraphx::shape::float_type, {3}});
+        auto yb  = mm->add_instruction(
+            migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {2, 3, 8, 8}}}), y);
+        auto add  = add_pointwise(p2, "main:pointwise0", {x, yb}, single_pointwise("add"));
+        auto cadd = mm->add_instruction(migraphx::make_op("contiguous"), add);
+        mm->add_instruction(pass_op{}, cadd);
+    }
+    EXPECT(p1 == p2);
+}
+
 TEST_CASE(slice_contiguous)
 {
     migraphx::module m;

test/eliminate_pad_test.cpp

@@ -27,7 +27,7 @@
 #include <migraphx/pass_manager.hpp>
 #include <migraphx/instruction.hpp>
 #include <basic_ops.hpp>
-#include <migraphx/operators.hpp>
+#include <migraphx/op/common.hpp>
 #include <migraphx/make_op.hpp>
 
 #include <test.hpp>
@@ -58,9 +58,8 @@ create_conv(migraphx::instruction_ref& l_img,
     migraphx::shape s_weights{migraphx::shape::int32_type, {4, channels, 3, 3}};
     std::vector<int32_t> weights(4 * channels * 3 * 3);
     auto l_weights = m.add_literal(migraphx::literal{s_weights, weights});
-    migraphx::op::convolution op;
-    op.padding_mode = padding_mode;
-    return m.add_instruction(op, l_img, l_weights);
+    return m.add_instruction(
+        migraphx::make_op("convolution", {{"padding_mode", padding_mode}}), l_img, l_weights);
 }
 
 TEST_CASE(rewrite_pad)

test/float_equal.cpp

@@ -112,7 +112,10 @@ TEST_CASE_REGISTER(test_limits<double, int>);
 TEST_CASE_REGISTER(test_limits<double, migraphx::half>);
 TEST_CASE_REGISTER(test_limits<float, int>);
 TEST_CASE_REGISTER(test_limits<int, migraphx::half>);
+#ifndef _WIN32
+// On Windows, types int and long have the same min and max values.
 TEST_CASE_REGISTER(test_limits<long, int>);
+#endif
 TEST_CASE_REGISTER(test_limits<long, char>);
 
 int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/fuse_pointwise.cpp

@@ -21,8 +21,9 @@
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
  * THE SOFTWARE.
  */
-#include <migraphx/dead_code_elimination.hpp>
 #include <migraphx/fuse_pointwise.hpp>
+#include <migraphx/dead_code_elimination.hpp>
+#include <migraphx/eliminate_contiguous.hpp>
 #include <migraphx/instruction.hpp>
 #include <migraphx/pass_manager.hpp>
 #include <migraphx/program.hpp>
@@ -361,4 +362,154 @@ TEST_CASE(no_input)
     EXPECT(p == p2);
 }
 
+TEST_CASE(add_reshape_add)
+{
+    migraphx::shape s1{migraphx::shape::float_type, {3, 10, 16}};
+    migraphx::shape s2{migraphx::shape::float_type, {3, 40, 2, 2}};
+    migraphx::shape s3{migraphx::shape::float_type, {3, 10, 4, 2, 2}};
+    migraphx::program p1;
+    {
+        auto* mm  = p1.get_main_module();
+        auto x    = mm->add_parameter("x", s1);
+        auto y    = mm->add_parameter("y", s1);
+        auto z    = mm->add_parameter("z", s2);
+        auto add1 = mm->add_instruction(migraphx::make_op("add"), x, y);
+        auto reshape =
+            mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), add1);
+        auto add2 = mm->add_instruction(migraphx::make_op("add"), reshape, z);
+        mm->add_return({add2});
+    }
+    run_pass(p1);
+    migraphx::program p2;
+    {
+        auto* mm = p2.get_main_module();
+        auto x   = mm->add_parameter("x", s1);
+        auto y   = mm->add_parameter("y", s1);
+        auto z   = mm->add_parameter("z", s2);
+        auto x2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), x);
+        auto y2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), y);
+        auto z2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), z);
+        auto fadd =
+            add_pointwise(p2, "main:pointwise0", {x2, y2, z2}, [=](auto* pm, const auto& inputs) {
+                auto add1 = pm->add_instruction(migraphx::make_op("add"), inputs[0], inputs[1]);
+                return pm->add_instruction(migraphx::make_op("add"), add1, inputs[2]);
+            });
+        auto reshape =
+            mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), fadd);
+        mm->add_return({reshape});
+    }
+    EXPECT(p1.sort() == p2.sort());
+}
+
+TEST_CASE(add_reshape_add_nonstandard)
+{
+    migraphx::shape s1 =
+        migraphx::shape::from_permutation(migraphx::shape::float_type, {3, 10, 16}, {2, 0, 1});
+    migraphx::shape s2{migraphx::shape::float_type, {3, 40, 2, 2}};
+    migraphx::shape s3{migraphx::shape::float_type, {3, 10, 4, 2, 2}};
+    migraphx::program p1;
+    {
+        auto* mm     = p1.get_main_module();
+        auto x       = mm->add_parameter("x", s1);
+        auto y       = mm->add_parameter("y", s1);
+        auto z       = mm->add_parameter("z", s2);
+        auto add1    = mm->add_instruction(migraphx::make_op("add"), x, y);
+        auto c       = mm->add_instruction(migraphx::make_op("contiguous"), add1);
+        auto reshape = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), c);
+        auto add2    = mm->add_instruction(migraphx::make_op("add"), reshape, z);
+        mm->add_return({add2});
+    }
+    run_pass(p1);
+    migraphx::program p2;
+    {
+        auto* mm = p2.get_main_module();
+        auto x   = mm->add_parameter("x", s1);
+        auto y   = mm->add_parameter("y", s1);
+        auto z   = mm->add_parameter("z", s2);
+        auto cx  = mm->add_instruction(migraphx::make_op("contiguous"), x);
+        auto cy  = mm->add_instruction(migraphx::make_op("contiguous"), y);
+        auto x2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), cx);
+        auto y2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), cy);
+        auto z2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s3.lens()}}), z);
+        auto fadd =
+            add_pointwise(p2, "main:pointwise0", {x2, y2, z2}, [=](auto* pm, const auto& inputs) {
+                auto add1 = pm->add_instruction(migraphx::make_op("add"), inputs[0], inputs[1]);
+                return pm->add_instruction(migraphx::make_op("add"), add1, inputs[2]);
+            });
+        auto reshape =
+            mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), fadd);
+        mm->add_return({reshape});
+    }
+    EXPECT(p1.sort() == p2.sort());
+}
+
+TEST_CASE(add_unsqueeze_add_nonstandard)
+{
+    migraphx::shape s1 =
+        migraphx::shape::from_permutation(migraphx::shape::float_type, {3, 10, 16}, {2, 0, 1});
+    migraphx::shape s2{migraphx::shape::float_type, {3, 10, 1, 16}};
+    migraphx::program p1;
+    {
+        auto* mm       = p1.get_main_module();
+        auto x         = mm->add_parameter("x", s1);
+        auto y         = mm->add_parameter("y", s1);
+        auto z         = mm->add_parameter("z", s2);
+        auto add1      = mm->add_instruction(migraphx::make_op("add"), x, y);
+        auto unsqueeze = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), add1);
+        auto add2      = mm->add_instruction(migraphx::make_op("add"), unsqueeze, z);
+        mm->add_return({add2});
+    }
+    run_pass(p1);
+    migraphx::program p2;
+    {
+        auto* mm = p2.get_main_module();
+        auto x   = mm->add_parameter("x", s1);
+        auto y   = mm->add_parameter("y", s1);
+        auto z   = mm->add_parameter("z", s2);
+        auto cx  = mm->add_instruction(migraphx::make_op("contiguous"), x);
+        auto cy  = mm->add_instruction(migraphx::make_op("contiguous"), y);
+        auto x2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), cx);
+        auto y2  = mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), cy);
+        auto fadd =
+            add_pointwise(p2, "main:pointwise0", {x2, y2, z}, [=](auto* pm, const auto& inputs) {
+                auto add1 = pm->add_instruction(migraphx::make_op("add"), inputs[0], inputs[1]);
+                return pm->add_instruction(migraphx::make_op("add"), add1, inputs[2]);
+            });
+        mm->add_return({fadd});
+    }
+    EXPECT(p1.sort() == p2.sort());
+}
+
+TEST_CASE(add_reshape_add_error)
+{
+    migraphx::shape s1{migraphx::shape::float_type, {6, 35}};
+    migraphx::shape s2{migraphx::shape::float_type, {3, 7, 2, 5}};
+    migraphx::program p1;
+    {
+        auto* mm  = p1.get_main_module();
+        auto x    = mm->add_parameter("x", s1);
+        auto y    = mm->add_parameter("y", s1);
+        auto z    = mm->add_parameter("z", s2);
+        auto add1 = mm->add_instruction(migraphx::make_op("add"), x, y);
+        auto reshape =
+            mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), add1);
+        auto add2 = mm->add_instruction(migraphx::make_op("add"), reshape, z);
+        mm->add_return({add2});
+    }
+    run_pass(p1);
+    migraphx::program p2;
+    {
+        auto* mm   = p2.get_main_module();
+        auto x     = mm->add_parameter("x", s1);
+        auto y     = mm->add_parameter("y", s1);
+        auto z     = mm->add_parameter("z", s2);
+        auto fadd1 = add_pointwise(p2, "main:pointwise0", {x, y}, single_pointwise("add"));
+        auto reshape =
+            mm->add_instruction(migraphx::make_op("reshape", {{"dims", s2.lens()}}), fadd1);
+        auto fadd2 = add_pointwise(p2, "main:pointwise1", {reshape, z}, single_pointwise("add"));
+        mm->add_return({fadd2});
+    }
+    EXPECT(p1.sort() == p2.sort());
+}
+
 int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/gpu/jit.cpp

@@ -218,6 +218,15 @@ TEST_CASE(compile_warnings)
 #endif
 }
 
+TEST_CASE(has_flags)
+{
+    EXPECT(migraphx::gpu::hip_has_flags({"--std=c++17"}));
+    EXPECT(not migraphx::gpu::hip_has_flags({"--non-existent-flag-to-test-in-migraphx"}));
+    EXPECT(migraphx::gpu::hip_has_flags({"-Wunused-parameter"}));
+    EXPECT(not migraphx::gpu::hip_has_flags(
+        {"-Wnon-existent-warnings-flag-to-test-in-migraphx", "-Werror"}));
+}
+
 TEST_CASE(code_object_hip)
 {
     auto binaries = migraphx::gpu::compile_hip_src(

test/gpu/mlir.cpp

@@ -84,7 +84,7 @@ migraphx::program create_program_from_mlir(const migraphx::module& mmlir)
     inputs.push_back(mm->add_parameter("output", mmlir.get_output_shapes().front()));
 
     migraphx::gpu::context ctx;
-    migraphx::gpu::insert_mlir(*mm, mm->end(), compile_mlir(ctx, mmlir, inputs), inputs);
+    migraphx::gpu::insert_mlir(*mm, mm->end(), compile_mlir(ctx, mmlir, inputs, {}), inputs);
     return p;
 }
 
@@ -140,7 +140,7 @@ TEST_CASE(conv)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @mlir_convolution(%arg0: tensor<2x8x3x3xf32>, %arg1: tensor<1x8x4x4xf32>) -> tensor<1x2x2x2xf32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_convolution(%arg0: tensor<2x8x3x3xf32>, %arg1: tensor<1x8x4x4xf32>) -> tensor<1x2x2x2xf32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.convolution(%arg1, %arg0) {dilation = [1, 1], group = 1 : i64, padding = [0, 0, 0, 0], padding_mode = 0 : i64, stride = [1, 1]} : (tensor<1x8x4x4xf32>, tensor<2x8x3x3xf32>) -> tensor<1x2x2x2xf32>
     return %0 : tensor<1x2x2x2xf32>
   }
@@ -163,7 +163,7 @@ TEST_CASE(conv_add_relu)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @mlir_convolution(%arg0: tensor<1x2x2x2xf32>, %arg1: tensor<2x8x3x3xf32>, %arg2: tensor<1x8x4x4xf32>) -> tensor<1x2x2x2xf32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_convolution_add_relu(%arg0: tensor<1x2x2x2xf32>, %arg1: tensor<2x8x3x3xf32>, %arg2: tensor<1x8x4x4xf32>) -> tensor<1x2x2x2xf32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.convolution(%arg2, %arg1) {dilation = [1, 1], group = 1 : i64, padding = [0, 0, 0, 0], padding_mode = 0 : i64, stride = [1, 1]} : (tensor<1x8x4x4xf32>, tensor<2x8x3x3xf32>) -> tensor<1x2x2x2xf32>
     %1 = migraphx.add(%0, %arg0) : (tensor<1x2x2x2xf32>, tensor<1x2x2x2xf32>) -> tensor<1x2x2x2xf32>
     %2 = migraphx.relu(%1) : (tensor<1x2x2x2xf32>) -> tensor<1x2x2x2xf32>
@@ -191,7 +191,7 @@ TEST_CASE(quant_dot_add)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @main(%arg0: tensor<1x5x4xi8>, %arg1: tensor<1x4x3xi8>, %arg2: tensor<1x5x3xi32>) -> tensor<1x5x3xi32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_quant_dot_add(%arg0: tensor<1x5x4xi8>, %arg1: tensor<1x4x3xi8>, %arg2: tensor<1x5x3xi32>) -> tensor<1x5x3xi32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.quant_dot(%arg0, %arg1) : (tensor<1x5x4xi8>, tensor<1x4x3xi8>) -> tensor<1x5x3xi32>
     %1 = migraphx.add(%0, %arg2) : (tensor<1x5x3xi32>, tensor<1x5x3xi32>) -> tensor<1x5x3xi32>
     return %1 : tensor<1x5x3xi32>
@@ -218,7 +218,7 @@ TEST_CASE(dot_add)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @mlir_dot(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>, %arg2: tensor<1x5x3xf32>) -> tensor<1x5x3xf32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_dot_add(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>, %arg2: tensor<1x5x3xf32>) -> tensor<1x5x3xf32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.dot(%arg0, %arg1) : (tensor<1x5x4xf32>, tensor<1x4x3xf32>) -> tensor<1x5x3xf32>
     %1 = migraphx.add(%0, %arg2) : (tensor<1x5x3xf32>, tensor<1x5x3xf32>) -> tensor<1x5x3xf32>
     return %1 : tensor<1x5x3xf32>
@@ -244,7 +244,7 @@ TEST_CASE(conv_int8_dequantize_quantize)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @main(%arg0: tensor<2x8x3x3xi8>, %arg1: tensor<1x8x4x4xi8>, %arg2: tensor<1x2x2x2xf32>, %arg3: tensor<1x2x2x2xi32>) -> tensor<1x2x2x2xi32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_quant_convolution_dequantizelinear_quantizelinear(%arg0: tensor<2x8x3x3xi8>, %arg1: tensor<1x8x4x4xi8>, %arg2: tensor<1x2x2x2xf32>, %arg3: tensor<1x2x2x2xi32>) -> tensor<1x2x2x2xi32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
       %0 = migraphx.quant_convolution(%arg1, %arg0) {dilation = [1, 1], group = 1 : i64, padding = [0, 0, 0, 0], padding_mode = 0 : i64, stride = [1, 1]} : (tensor<1x8x4x4xi8>, tensor<2x8x3x3xi8>) -> tensor<1x2x2x2xi32>
       %1 = migraphx.dequantizelinear(%0, %arg2, %arg3) : (tensor<1x2x2x2xi32>, tensor<1x2x2x2xf32>, tensor<1x2x2x2xi32>) -> tensor<1x2x2x2xf32>
       %2 = migraphx.quantizelinear(%1, %arg2, %arg3) : (tensor<1x2x2x2xf32>, tensor<1x2x2x2xf32>, tensor<1x2x2x2xi32>) -> tensor<1x2x2x2xi32>
@@ -277,7 +277,7 @@ TEST_CASE(dot_convert)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @mlir_dot(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>) -> tensor<1x5x3xf16> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_dot_convert(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>) -> tensor<1x5x3xf16> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.dot(%arg0, %arg1) : (tensor<1x5x4xf32>, tensor<1x4x3xf32>) -> tensor<1x5x3xf32>
     %1 = migraphx.convert(%0) {target_type  =  1  :  i64} : (tensor<1x5x3xf32>) -> tensor<1x5x3xf16>
     return %1 : tensor<1x5x3xf16>
@@ -303,7 +303,7 @@ TEST_CASE(dot_where)
 {
     const std::string mlir_output = R"__migraphx__(
 module {
-  func.func @mlir_dot(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>, %arg2: tensor<1x5x3xi8>, %arg3: tensor<1x5x3xf32>) -> tensor<1x5x3xf32> attributes {arch = "", kernel = "mixr"} {
+  func.func @mlir_dot_where(%arg0: tensor<1x5x4xf32>, %arg1: tensor<1x4x3xf32>, %arg2: tensor<1x5x3xi8>, %arg3: tensor<1x5x3xf32>) -> tensor<1x5x3xf32> attributes {arch = "", kernel = "mixr", num_cu = 0 : i64} {
     %0 = migraphx.dot(%arg0, %arg1) : (tensor<1x5x4xf32>, tensor<1x4x3xf32>) -> tensor<1x5x3xf32>
     %1 = migraphx.where(%arg2, %0, %arg3) : (tensor<1x5x3xi8>, tensor<1x5x3xf32>, tensor<1x5x3xf32>) -> tensor<1x5x3xf32>
     return %1 : tensor<1x5x3xf32>

test/gpu/quantization.cpp

@@ -24,7 +24,7 @@
 #include <iostream>
 #include <vector>
 #include <migraphx/gpu/fuse_mlir.hpp>
-#include <migraphx/operators.hpp>
+#include <migraphx/make_op.hpp>
 #include <migraphx/instruction.hpp>
 #include <migraphx/quantization.hpp>
 #include <migraphx/generate.hpp>
@@ -90,7 +90,7 @@ TEST_CASE(int8_quantization)
         migraphx::shape sc{migraphx::shape::float_type, {5, 8}};
         auto pa = mm->add_parameter("a", sa);
         auto pb = mm->add_parameter("b", sb);
-        mm->add_instruction(migraphx::op::dot{}, pa, pb);
+        mm->add_instruction(migraphx::make_op("dot"), pa, pb);
 
         return p;
     };

test/include/test.hpp

@@ -22,6 +22,7 @@
  * THE SOFTWARE.
  */
 
+#include <atomic>
 #include <algorithm>
 #include <cassert>
 #include <cstdio>
@@ -342,11 +343,19 @@ inline std::ostream& operator<<(std::ostream& os, const color& c)
     return os;
 }
 
+inline std::atomic<int>& failures()
+{
+    // NOLINTNEXTLINE
+    static std::atomic<int> f = 0;
+    return f;
+}
+
 template <class T, class F>
 void failed(T x, const char* msg, const char* func, const char* file, int line, F f)
 {
     if(not bool(x.value()))
     {
+        failures()++;
         std::cout << func << std::endl;
         std::cout << file << ":" << line << ":" << std::endl;
         std::cout << color::bold << color::fg_red << "    FAILED: " << color::reset << msg << " "
@@ -384,7 +393,7 @@ bool throws(F f, const std::string& msg = "")
 }
 
 template <class T, class U>
-auto near(T px, U py, double ptol = 1e-6f)
+auto within_abs(T px, U py, double ptol = 1e-6f)
 {
     return make_function("near", [](auto x, auto y, auto tol) { return std::abs(x - y) < tol; })(
         px, py, ptol);
@@ -586,13 +595,21 @@ struct driver
         {
             try
             {
+                failures() = 0;
                 f();
             }
+            // cppcheck-suppress EmptyCatchStatement
             catch(const failure_error&)
             {
-                msg = "Test failure";
             }
         }
+        if(msg.empty() and failures() != 0)
+        {
+            if(failures() == 1)
+                msg = "Test failure";
+            else
+                msg = std::to_string(failures()) + " test failures";
+        }
         if(msg.empty())
         {
             out() << color::fg_green << "[ COMPLETE ] " << color::reset << color::bold << name
@@ -683,10 +700,10 @@ inline void run(int argc, const char* argv[])
 #define TEST_CAPTURE(...) test::capture{}->*__VA_ARGS__
 
 // NOLINTNEXTLINE
-#define CHECK(...)                                                                                 \
-    test::failed(                                                                                  \
-        test::capture{}->*__VA_ARGS__, #__VA_ARGS__, __PRETTY_FUNCTION__, __FILE__, __LINE__, [] { \
-        })
+#define CHECK(...) \
+    test::failed(  \
+        TEST_CAPTURE(__VA_ARGS__), #__VA_ARGS__, __PRETTY_FUNCTION__, __FILE__, __LINE__, [] {})
+
 // NOLINTNEXTLINE
 #define EXPECT(...)                         \
     test::failed(TEST_CAPTURE(__VA_ARGS__), \

test/inline_module_test.cpp

@@ -26,7 +26,6 @@
 #include <migraphx/pass_manager.hpp>
 #include <migraphx/instruction.hpp>
 #include <basic_ops.hpp>
-#include <migraphx/operators.hpp>
 #include <migraphx/make_op.hpp>
 
 #include <test.hpp>

test/insert_pad_test.cpp

@@ -26,8 +26,8 @@
 #include <migraphx/insert_pad.hpp>
 #include <migraphx/pass_manager.hpp>
 #include <migraphx/instruction.hpp>
+#include <migraphx/op/common.hpp>
 #include <basic_ops.hpp>
-#include <migraphx/operators.hpp>
 #include <migraphx/make_op.hpp>
 
 #include <test.hpp>
@@ -58,10 +58,11 @@ create_conv(migraphx::instruction_ref& l_img,
     migraphx::shape s_weights{migraphx::shape::int32_type, {4, channels, 3, 3}};
     std::vector<int32_t> weights(4 * channels * 3 * 3);
     auto l_weights = m.add_literal(migraphx::literal{s_weights, weights});
-    migraphx::op::convolution op;
-    op.padding_mode = padding_mode;
-    op.padding      = {0, 0, 1, 1};
-    return m.add_instruction(op, l_img, l_weights);
+    return m.add_instruction(
+        migraphx::make_op("convolution",
+                          {{"padding_mode", padding_mode}, {"padding", {0, 0, 1, 1}}}),
+        l_img,
+        l_weights);
 }
 
 TEST_CASE(rewrite_pad)

test/jit.cpp

@@ -82,9 +82,9 @@ TEST_CASE(generate_module)
 
     auto f = compile_module<float(float, float)>(m);
 
-    EXPECT(test::near(f(2, 2), 2));
-    EXPECT(test::near(f(10, 6), 4));
-    EXPECT(test::near(f(1, 2), std::sqrt(3)));
+    EXPECT(test::within_abs(f(2, 2), 2));
+    EXPECT(test::within_abs(f(10, 6), 4));
+    EXPECT(test::within_abs(f(1, 2), std::sqrt(3)));
 }
 
 TEST_CASE(generate_module_with_literals)
@@ -99,9 +99,9 @@ TEST_CASE(generate_module_with_literals)
 
     auto f = compile_module<float(float, float)>(m);
 
-    EXPECT(test::near(f(1, 2), 2));
-    EXPECT(test::near(f(9, 6), 4));
-    EXPECT(test::near(f(0, 2), std::sqrt(3)));
+    EXPECT(test::within_abs(f(1, 2), 2));
+    EXPECT(test::within_abs(f(9, 6), 4));
+    EXPECT(test::within_abs(f(0, 2), std::sqrt(3)));
 }
 
 int main(int argc, const char* argv[]) { test::run(argc, argv); }

test/layout_nhwc.cpp

@@ -24,7 +24,6 @@
 #include <migraphx/layout_nhwc.hpp>
 #include <migraphx/dead_code_elimination.hpp>
 #include <migraphx/pass_manager.hpp>
-#include <migraphx/operators.hpp>
 #include <migraphx/generate.hpp>
 #include <migraphx/ranges.hpp>
 #include <migraphx/instruction.hpp>

test/memory_coloring_test.cpp

@@ -89,17 +89,13 @@ bool is_overlap_load(migraphx::instruction_ref a, migraphx::instruction_ref b)
 
 bool is_disjoint(const std::vector<migraphx::instruction_ref>& inss)
 {
-    for(auto ins1 : inss)
-    {
-        for(auto ins2 : inss)
-        {
+    return std::none_of(inss.begin(), inss.end(), [&](auto ins1) {
+        return std::none_of(inss.begin(), inss.end(), [&](auto ins2) {
             if(ins1 == ins2)
-                continue;
-            if(is_overlap_load(ins1, ins2))
-                return false;
-        }
-    }
-    return true;
+                return true;
+            return is_overlap_load(ins1, ins2);
+        });
+    });
 }
 
 TEST_CASE(test1)