Add header

src/include/migraphx/convolution.hpp

+/*
+ * 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.
+ */
+#ifndef MIGRAPHX_GUARD_RTGLIB_CONVOLUTION_HPP
+#define MIGRAPHX_GUARD_RTGLIB_CONVOLUTION_HPP
+
+#include <migraphx/config.hpp>
+#include <migraphx/dfor.hpp>
+#include <migraphx/par_for.hpp>
+#include <migraphx/shape_for_each.hpp>
+#include <migraphx/tensor_view.hpp>
+#include <vector>
+
+namespace migraphx {
+inline namespace MIGRAPHX_INLINE_NS {
+
+template<class Output, class T, class Padding, class Stride>
+void convolution(Output output, T input, T weights, Padding padding, Stride stride, int group)
+{
+    auto output_shape = output.get_shape();
+    auto in_lens = input.get_shape().lens();
+
+    auto wei_lens = weights.get_shape().lens();
+    auto wei_n    = wei_lens[0];
+    auto wei_c    = wei_lens[1];
+    std::vector<std::size_t> win_size(wei_lens.begin() + 1, wei_lens.end());
+
+    par_for(output_shape.elements(), [&](auto i) {
+        auto idx_o = output_shape.multi(i);
+        auto w     = idx_o[1];
+        auto n_dim = idx_o.size();
+
+        std::vector<std::ptrdiff_t> win_start;
+        for(std::size_t dim = 2; dim < n_dim; ++dim)
+        {
+            auto d_2 = dim - 2;
+            win_start.push_back(std::ptrdiff_t(idx_o[dim] * stride[d_2]) -
+                                std::ptrdiff_t(padding[d_2]));
+        }
+        const auto group_id = w / (wei_n / group);
+
+        shape win_shape{output_shape.type(), win_size};
+
+        double acc = 0.0;
+        shape_for_each(win_shape, [&](auto idx_win) {
+            auto k           = idx_win[0];
+            const auto in_ch = group_id * wei_c + k;
+            std::vector<std::ptrdiff_t> idx(idx_o.begin(), idx_o.end());
+            idx[1] = in_ch;
+            std::transform(idx_win.begin() + 1,
+                            idx_win.end(),
+                            win_start.begin(),
+                            idx.begin() + 2,
+                            [](std::ptrdiff_t ii, std::ptrdiff_t jj) { return ii + jj; });
+            std::vector<std::ptrdiff_t> idx_wei(idx_o.size());
+            idx_wei[0] = w;
+            std::copy(idx_win.begin(), idx_win.end(), idx_wei.begin() + 1);
+            if(std::all_of(idx.begin() + 2, idx.end(), [&](auto ii) { return ii >= 0; }) and
+                std::equal(idx.begin(),
+                            idx.end(),
+                            in_lens.begin(),
+                            in_lens.end(),
+                            std::less<std::ptrdiff_t>{}))
+            {
+                acc +=
+                    input(idx.begin(), idx.end()) * weights(idx_wei.begin(), idx_wei.end());
+            }
+        });
+
+        output[i] = acc;
+    });
+}
+
+} // namespace MIGRAPHX_INLINE_NS
+} // namespace migraphx
+
+#endif

src/targets/ref/lowering.cpp

@@ -461,8 +461,8 @@ struct ref_apply
 
     void init()
     {
-        apply_map["dot"]         = extend_op<ref_gemm, op::dot>();
-        apply_map["quant_dot"]   = extend_op<ref_quant_gemm, op::quant_dot>();
+        apply_map["dot"]        = extend_op<ref_gemm, op::dot>();
+        apply_map["quant_dot"]  = extend_op<ref_quant_gemm, op::quant_dot>();
         apply_map["im2col"]     = extend_op<ref_im2col, op::im2col>();
         apply_map["logsoftmax"] = extend_op<ref_softmax<op::logsoftmax>, op::logsoftmax>();
         apply_map["lrn"]        = extend_op<ref_lrn, op::lrn>();