Merge branch 'develop' of github.com:ROCmSoftwarePlatform/AMDMIGraphX into refactor_auto_pad_conv

CMakeLists.txt

@@ -63,7 +63,7 @@ set(CMAKE_EXTRA_INCLUDE_FILES)
 
 include(ROCMSetupVersion)
 
-rocm_setup_version(VERSION 2.3)
+rocm_setup_version(VERSION 2.4)
 set(MIGRAPHX_SO_VERSION ${PROJECT_VERSION_MAJOR}.${PROJECT_VERSION_MINOR})
 
 option( BUILD_SHARED_LIBS "Build as a shared library" ON )

Dockerfile

@@ -86,7 +86,7 @@ RUN git clone --single-branch --branch ${ONNXRUNTIME_BRANCH} --recursive ${ONNXR
 
 ADD tools/build_and_test_onnxrt.sh /onnxruntime/build_and_test_onnxrt.sh
 
-RUN cget -p /usr/local install ROCmSoftwarePlatform/llvm-project-mlir@d2cb9e580550e92ab75a0a417e7a4abd02a24edf -DBUILD_MIXR_TARGET=On
+RUN cget -p /usr/local install ROCmSoftwarePlatform/llvm-project-mlir@e8e77eb16be413d301ea8509726d47f265d9011f -DBUILD_MIXR_TARGET=On
 
 ENV MIOPEN_FIND_DB_PATH=/tmp/miopen/find-db
 ENV MIOPEN_USER_DB_PATH=/tmp/miopen/user-db

doc/src/reference/py.rst

@@ -84,6 +84,12 @@ argument
 
     Construct an argument from a python buffer. This can include numpy arrays.
 
+.. py:method:: data_ptr()
+
+    Returns the address to the underlying argument data.
+
+    :rtype: int
+
 .. py:method:: get_shape()
 
     Returns the shape of the argument.
@@ -113,7 +119,16 @@ argument
     :param shape s: Shape of argument to fill.
     :param int value: Value to fill in the argument.
 
-    :rtype argument
+    :rtype: argument
+
+.. py:function:: argument_from_pointer(shape, address)
+
+    Create argument from data stored in given address without copy.
+
+    :param shape shape: Shape of the data stored in address.
+    :param long address: Memory address of data from another source
+
+    :rtype: argument 
 
 target
 ------

src/include/migraphx/op/fmod.hpp

@@ -24,17 +24,8 @@
 #ifndef MIGRAPHX_GUARD_OPERATORS_FMOD_HPP
 #define MIGRAPHX_GUARD_OPERATORS_FMOD_HPP
 
-#include <array>
 #include <migraphx/op/binary.hpp>
-#include <migraphx/check_shapes.hpp>
-#include <migraphx/stringutils.hpp>
-#include <migraphx/streamutils.hpp>
-#include <migraphx/literal.hpp>
-#include <migraphx/shape_for_each.hpp>
-#include <migraphx/config.hpp>
 #include <cmath>
-#include <utility>
-#include <type_traits>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/include/migraphx/op/mod.hpp

@@ -24,17 +24,8 @@
 #ifndef MIGRAPHX_GUARD_OPERATORS_MOD_HPP
 #define MIGRAPHX_GUARD_OPERATORS_MOD_HPP
 
-#include <array>
 #include <migraphx/op/binary.hpp>
-#include <migraphx/check_shapes.hpp>
-#include <migraphx/stringutils.hpp>
-#include <migraphx/streamutils.hpp>
-#include <migraphx/literal.hpp>
-#include <migraphx/shape_for_each.hpp>
-#include <migraphx/config.hpp>
 #include <cmath>
-#include <utility>
-#include <type_traits>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/py/migraphx_py.cpp

@@ -264,12 +264,13 @@ MIGRAPHX_PYBIND11_MODULE(migraphx, m)
 
     py::class_<migraphx::argument>(m, "argument", py::buffer_protocol())
         .def_buffer([](migraphx::argument& x) -> py::buffer_info { return to_buffer_info(x); })
-        .def("__init__",
-             [](migraphx::argument& x, py::buffer b) {
-                 py::buffer_info info = b.request();
-                 new(&x) migraphx::argument(to_shape(info), info.ptr);
-             })
+        .def(py::init([](py::buffer b) {
+            py::buffer_info info = b.request();
+            return migraphx::argument(to_shape(info), info.ptr);
+        }))
         .def("get_shape", &migraphx::argument::get_shape)
+        .def("data_ptr",
+             [](migraphx::argument& x) { return reinterpret_cast<std::uintptr_t>(x.data()); })
         .def("tolist",
              [](migraphx::argument& x) {
                  py::list l{x.get_shape().elements()};

src/simplify_algebra.cpp

@@ -985,20 +985,35 @@ struct find_split_reshape
         auto rsp_lens    = rsp->get_shape().lens();
         auto rsp_strides = rsp->get_shape().strides();
         rsp_strides.insert(rsp_strides.begin(), rsp_strides[0] * rsp_lens[0]);
-        auto ait = std::find(rsp_strides.begin(), rsp_strides.end(), slc_dim_size);
+
+        auto ait     = std::find(rsp_strides.begin(), rsp_strides.end(), slc_dim_size);
+        int rsp_axis = -1;
         if(ait == rsp_strides.end())
         {
             return;
         }
-        int rsp_axis = std::distance(rsp_strides.begin(), ait);
-
+        else if(ait == rsp_strides.end() - 1)
+        {
+            // edge case
+            // slice_dim == 1, in that case it could match with last stride of 1.
+            // it should accumulate lengths from last dim in that case. discount 1 to avoid going
+            // out of bounds.
+            assert(slc_dim_size == 1);
+            rsp_axis = std::distance(rsp_strides.begin(), ait) - 1;
+        }
+        else
+        {
+            rsp_axis = std::distance(rsp_strides.begin(), ait);
+        }
         // calculate reshape output shape
         std::vector<int64_t> vec_dims(vec_rsp.size());
+
         std::transform(vec_rsp.begin(), vec_rsp.end(), vec_dims.begin(), [&](auto is) {
             return is->get_shape().lens()[rsp_axis];
         });
 
         std::vector<int64_t> rsp_out_lens(rsp_lens.begin(), rsp_lens.end());
+
         rsp_out_lens[rsp_axis] = std::accumulate(vec_dims.begin(), vec_dims.end(), std::int64_t{0});
 
         // insert the reshape instruction and add contiguous if needed

src/simplify_reshapes.cpp

@@ -271,6 +271,44 @@ struct find_nested_slice
     }
 };
 
+struct find_concat_multibroadcasts
+{
+    auto matcher() const
+    {
+        return match::name("concat")(match::all_of[match::inputs()](match::name("multibroadcast")));
+    }
+
+    void apply(module& m, const match::matcher_result& mr) const
+    {
+        auto ins        = mr.result;
+        auto op         = any_cast<op::concat>(ins->get_operator());
+        auto out_lens   = ins->get_shape().lens();
+        auto inputs     = ins->inputs();
+        auto in_strides = inputs.front()->get_shape().strides();
+
+        // Only apply when concat axis is not a broadcasted dimension
+        if(std::any_of(inputs.begin(), inputs.end(), [&](auto i) {
+               return i->get_shape().strides()[op.axis] == 0;
+           }))
+        {
+            return;
+        }
+
+        // Use inputs of multibroadcast ops as inputs to new concat op
+        std::transform(inputs.begin(), inputs.end(), inputs.begin(), [](auto i) {
+            return i->inputs().front();
+        });
+
+        // Reduce axis by number of leading broadcasted dimensions
+        if(inputs.front()->get_shape().lens().size() < out_lens.size())
+            op.axis -= std::count(in_strides.begin(), in_strides.begin() + op.axis, 0);
+
+        auto concat = m.insert_instruction(ins, op, inputs);
+        m.replace_instruction(
+            ins, migraphx::make_op("multibroadcast", {{"out_lens", out_lens}}), concat);
+    }
+};
+
 struct find_concat_transpose
 {
     auto matcher() const
@@ -764,6 +802,7 @@ void simplify_reshapes::apply(module& m) const
                             find_reshaper{},
                             find_transpose{},
                             find_concat_transpose{},
+                            find_concat_multibroadcasts{},
                             find_nested_convert{},
                             find_nested_slice{},
                             find_nested_concat{},

src/targets/gpu/CMakeLists.txt

@@ -322,26 +322,11 @@ message(STATUS "extractkernel: ${MIGRAPHX_EXTRACT_KERNEL}")
 
 set(MIGRAPHX_ENABLE_MLIR OFF CACHE BOOL "")
 if(MIGRAPHX_ENABLE_MLIR)
-    find_library(MLIRAPI_LIBRARY MLIRMIOpen 
-        PATH_SUFFIXES
-        # Workaournd broken mlir install
-        lib/ lib/lib)
-    # REQUIRED is not supported before cmake 3.18
-    if(NOT MLIRAPI_LIBRARY)
-        message(FATAL_ERROR "libMLIRMIOpen not found")
-    else()
-        message(STATUS "Build with libMLIRMIOpen: " ${MLIRAPI_LIBRARY})
-    endif()
-
-    find_path(MLIRAPI_HEADERS NAMES mlir-c/Dialect/MIGraphX.h)
-    # Workaround MLIR broken installation
-    find_path(MLIRAPI_HEADERS2 NAMES mlir-c/Registration.h
-        PATH_SUFFIXES 
-        include/external/include external/include)
-
+    # Find package rocMLIR
+    find_package(rocMLIR 1.0.0 CONFIG REQUIRED)
+    message(STATUS "Build with rocMLIR::rockCompiler ${rocMLIR_VERSION}")
     target_compile_definitions(migraphx_gpu PRIVATE "-DMIGRAPHX_MLIR")
-    target_include_directories(migraphx_gpu SYSTEM PRIVATE ${MLIRAPI_HEADERS} ${MLIRAPI_HEADERS2})
-    target_link_libraries(migraphx_gpu PUBLIC ${MLIRAPI_LIBRARY})
+    target_link_libraries(migraphx_gpu PUBLIC rocMLIR::rockCompiler)
 endif()
 
 set(MIGRAPHX_USE_HIPRTC OFF CACHE BOOL "")

src/targets/gpu/fuse_ops.cpp

@@ -26,7 +26,6 @@
 #include <migraphx/gpu/fuse_ops.hpp>
 #include <migraphx/matcher.hpp>
 #include <migraphx/gpu/miopen.hpp>
-#include <migraphx/gpu/clip.hpp>
 #include <migraphx/gpu/convolution.hpp>
 #include <migraphx/gpu/device_name.hpp>
 #include <migraphx/gpu/oper.hpp>
@@ -50,8 +49,6 @@
 #include <migraphx/array.hpp>
 #include <migraphx/permutation.hpp>
 #include <migraphx/make_op.hpp>
-#include <migraphx/op/clip.hpp>
-#include <migraphx/op/contiguous.hpp>
 #include <cmath>
 #include <set>
 
@@ -1036,7 +1033,7 @@ struct find_gemm_pointwise
         // const-fold input if not standard shape since rocblas can't handle it
         if(not c_ins->get_shape().standard())
         {
-            auto c = op::contiguous{};
+            auto c = make_op("contiguous");
             auto l = c.compute(c.compute_shape({c_ins->get_shape()}), {c_ins->eval()});
             c_ins  = m.add_literal(l.get_shape(), l.data());
         }

src/targets/gpu/gemm_impl.cpp

@@ -176,8 +176,13 @@ void gemm_impl(context& ctx,
 
         auto num_matrices = std::accumulate(
             out_lens.rbegin() + 2, out_lens.rend(), std::size_t{1}, std::multiplies<std::size_t>());
-        if(num_matrices == 1)
+        if(num_matrices == 1 or (num_matrices > 1 and get_batch_stride(args[1]) == 0))
         {
+            // If the batch dimension of B is broadcasted, then we can
+            // multiply m by the batch_size and use rocblas_gemm_ex
+            // instead of rocblas_gemm_strided_batched_ex.
+            m *= num_matrices;
+
             // the rocblas_gemm API handles inputs and output matrices as
             // column-major format. When doing a C = A * B, we actually do
             // C^T = (B^T) * (A^T). That is the reason we input args[1] as

src/targets/gpu/include/migraphx/gpu/gather.hpp

@@ -27,7 +27,7 @@
 #include <migraphx/argument.hpp>
 #include <migraphx/reflect.hpp>
 #include <migraphx/op/gather.hpp>
-#include <migraphx/gpu/miopen.hpp>
+#include <migraphx/gpu/context.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/int8_conv_pack.hpp

@@ -25,7 +25,6 @@
 #define MIGRAPHX_GUARD_RTGLIB_INT8_CONV_PACK_HPP
 
 #include <migraphx/argument.hpp>
-#include <migraphx/op/quant_dot.hpp>
 #include <migraphx/config.hpp>
 #include <utility>
 

src/targets/gpu/include/migraphx/gpu/int8_gemm_pack.hpp

@@ -25,7 +25,6 @@
 #define MIGRAPHX_GUARD_RTGLIB_INT8_GEMM_PACK_HPP
 
 #include <migraphx/argument.hpp>
-#include <migraphx/op/quant_dot.hpp>
 #include <migraphx/config.hpp>
 #include <utility>
 

src/targets/gpu/include/migraphx/gpu/logsoftmax.hpp

@@ -24,22 +24,10 @@
 #ifndef MIGRAPHX_GUARD_RTGLIB_LOGSOFTMAX_HPP
 #define MIGRAPHX_GUARD_RTGLIB_LOGSOFTMAX_HPP
 
-#include <migraphx/gpu/lowering.hpp>
-#include <migraphx/manage_ptr.hpp>
-#include <migraphx/instruction.hpp>
 #include <migraphx/op/logsoftmax.hpp>
-#include <migraphx/generate.hpp>
-#include <migraphx/shape_for_each.hpp>
-#include <migraphx/config.hpp>
-#include <migraphx/gpu/miopen.hpp>
-#include <migraphx/gpu/hip.hpp>
-#include <migraphx/dfor.hpp>
-#include <migraphx/gpu/device/contiguous.hpp>
-#include <migraphx/gpu/device/add.hpp>
-#include <migraphx/iterator_for.hpp>
-#include <migraphx/gpu/rocblas.hpp>
+#include <migraphx/shape.hpp>
+#include <migraphx/reflect.hpp>
 #include <migraphx/gpu/context.hpp>
-#include <utility>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/lrn.hpp

@@ -26,7 +26,7 @@
 
 #include <migraphx/shape.hpp>
 #include <migraphx/reflect.hpp>
-#include <migraphx/gpu/miopen.hpp>
+#include <migraphx/gpu/context.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/prefuse_ops.hpp

@@ -25,7 +25,7 @@
 #define MIGRAPHX_GUARD_GPU_PREFUSE_OPS_HPP
 
 #include <migraphx/config.hpp>
-#include <migraphx/gpu/context.hpp>
+#include <string>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/reverse.hpp

@@ -27,7 +27,7 @@
 #include <migraphx/argument.hpp>
 #include <migraphx/reflect.hpp>
 #include <migraphx/op/reverse.hpp>
-#include <migraphx/gpu/miopen.hpp>
+#include <migraphx/gpu/context.hpp>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/softmax.hpp

@@ -24,22 +24,10 @@
 #ifndef MIGRAPHX_GUARD_RTGLIB_SOFTMAX_HPP
 #define MIGRAPHX_GUARD_RTGLIB_SOFTMAX_HPP
 
-#include <migraphx/gpu/lowering.hpp>
-#include <migraphx/manage_ptr.hpp>
-#include <migraphx/instruction.hpp>
 #include <migraphx/op/softmax.hpp>
-#include <migraphx/generate.hpp>
-#include <migraphx/shape_for_each.hpp>
-#include <migraphx/config.hpp>
-#include <migraphx/gpu/miopen.hpp>
-#include <migraphx/gpu/hip.hpp>
-#include <migraphx/dfor.hpp>
-#include <migraphx/gpu/device/contiguous.hpp>
-#include <migraphx/gpu/device/add.hpp>
-#include <migraphx/iterator_for.hpp>
-#include <migraphx/gpu/rocblas.hpp>
+#include <migraphx/shape.hpp>
+#include <migraphx/reflect.hpp>
 #include <migraphx/gpu/context.hpp>
-#include <utility>
 
 namespace migraphx {
 inline namespace MIGRAPHX_INLINE_NS {

src/targets/gpu/include/migraphx/gpu/sync_device.hpp

@@ -25,8 +25,6 @@
 #define MIGRAPHX_GUARD_RTGLIB_GPU_SYNC_DEVICE_HPP
 
 #include <string>
-#include <migraphx/instruction_ref.hpp>
-#include <migraphx/gpu/context.hpp>
 #include <migraphx/config.hpp>
 
 namespace migraphx {