1 files changed, 119 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/assembly/NEGEMMNativeWrapperKernel.cpp b/src/core/NEON/kernels/assembly/NEGEMMNativeWrapperKernel.cpp
new file mode 100644
index 0000000000..38eb40a06e
--- /dev/null
+++ b/src/core/NEON/kernels/assembly/NEGEMMNativeWrapperKernel.cpp
@@ -0,0 +1,119 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * 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 "arm_compute/core/NEON/kernels/assembly/NEGEMMNativeWrapperKernel.h"
+
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/WindowIterator.h"
+
+#include "../arm_gemm/utils.hpp"
+#include "arm_gemm.hpp"
+
+#include "../arm_gemm/mergeresults.hpp"
+#include "../arm_gemm/transform.hpp"
+
+#include "../arm_gemm/kernels/a32_sgemm_8x6.hpp"
+#include "../arm_gemm/kernels/a64_sgemm_12x8.hpp"
+#include "../arm_gemm/kernels/a64_sgemm_native_16x4.hpp"
+#include "../arm_gemm/kernels/a64_sgemv_pretransposed.hpp"
+#include "../arm_gemm/kernels/a64_sgemv_trans.hpp"
+
+namespace arm_compute
+{
+template <typename To, typename Tr>
+struct Kernel
+{
+};
+
+#ifdef __aarch64__
+template <>
+struct Kernel<float, float>
+{
+    using strategy = arm_gemm::sgemm_native_16x4;
+};
+#endif /* __aarch64__ */
+
+template <typename To, typename Tr>
+Window NEGEMMNativeWrapperKernel<To, Tr>::configure_internal(float alpha, float beta)
+{
+    using strategy = typename Kernel<To, Tr>::strategy;
+
+    _beta = beta;
+
+    //Note: The window is shifted down by 1 dimension compare to the tensors
+    Window window;
+    window.set(Window::DimX, Window::Dimension(0, ceil_to_multiple(_params.M, strategy::out_height()), strategy::out_height()));
+    window.set(Window::DimY, Window::Dimension(0, _params.batches));
+    window.set(Window::DimZ, Window::Dimension(0, _params.multis));
+
+    return window;
+}
+
+template <typename To, typename Tr>
+void NEGEMMNativeWrapperKernel<To, Tr>::run_internal(const Window &window, const Coordinates &start_offset, const Coordinates &end_offset, const ThreadInfo &info)
+{
+    using strategy = typename Kernel<To, Tr>::strategy;
+
+    TensorAccessor<To> a(*_a);
+    TensorAccessor<To> b(*_b);
+    TensorAccessor<Tr> c(*_c);
+
+    if(_a->info()->data_layout() == DataLayout::NHWC)
+    {
+        // In the case of NHWC we want to interpret the output shape as 3D. Thus, the batch stride for A is
+        // the relevant multiple of the row stride.
+        const size_t nhwc_batch_stride = _a->info()->strides_in_bytes().y() * _c->info()->dimension(1);
+        a.set_stride(2, nhwc_batch_stride);
+    }
+
+    unsigned int m_end = 0;
+
+    strategy strat(info.cpu_info);
+    auto window_iterator = arm_compute::create_window_iterator(window, start_offset, end_offset, [&](const Coordinates & id)
+    {
+        const unsigned int y0    = id.x();
+        const unsigned int batch = id.y();
+        const unsigned int multi = id.z();
+        const unsigned int ymax  = std::min(y0 + strategy::out_height(), m_end);
+
+        strat.kernel(a(0, y0, batch, multi), a.stride(Window::DimY),
+                     b(0, 0, 0, multi), b.stride(Window::DimY),
+                     c(0, y0, batch, multi), c.stride(Window::DimY),
+                     _beta, (ymax - y0), _params.N, _params.K);
+    });
+
+    auto on_new_row_size = [&](unsigned int start, unsigned int end)
+    {
+        m_end = std::min(end, _params.M);
+    };
+
+    window_iterator.iterate_3D(on_new_row_size);
+}
+
+#ifdef __aarch64__
+template class NEGEMMNativeWrapperKernel<float, float>;
+#endif /* __aarch64__ */
+
+} // namespace arm_compute