COMPMID-675: NEGEMMLowp Assembly Integration

Added support for S8 input in NEGEMMLowp Matrix Multiply Kernel.
Added a new function to run assembly kernels such that A*B=C (no offsets involved)
Added new tests for the assembly gemmlowp kernels (no offsets)
Integrated the assembly kernel for the A57

Change-Id: Ib3e39c1f3f7f1baa0d39be69485f61cd18e3c9b3
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/95864
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 168 insertions, 0 deletions

diff --git a/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp b/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp
new file mode 100644
index 0000000000..708daeb265
--- /dev/null
+++ b/src/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.cpp
@@ -0,0 +1,168 @@
+/* Copyright (c) 2017 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/runtime/NEON/functions/NEGEMMLowpAssemblyMatrixMultiplyCore.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMAssemblyBaseKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.h"
+#include "arm_compute/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
+#include "arm_compute/core/NEON/kernels/arm64/NEGEMMLowpAArch64Kernel.h"
+#include "arm_compute/core/NEON/kernels/arm64/NEGEMMLowpAArch64V8P4Kernel.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp"
+#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s8_12x8.hpp"
+#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s8_4x4.hpp"
+
+} // namespace arm_compute
+
+using namespace arm_compute;
+
+NEGEMMLowpAssemblyMatrixMultiplyCore::NEGEMMLowpAssemblyMatrixMultiplyCore(std::shared_ptr<IMemoryManager> memory_manager)
+    : _memory_group(std::move(memory_manager)), _mm_kernel(nullptr), _mtx_a_reshape_kernel(nullptr), _mtx_b_reshape_kernel(nullptr), _tmp_a(), _tmp_b(), _workspace()
+{
+}
+
+void NEGEMMLowpAssemblyMatrixMultiplyCore::configure(const ITensor *a, const ITensor *b, ITensor *output)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(a, 1, DataType::S8);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(a, b);
+    ARM_COMPUTE_ERROR_ON_MSG((a)->info()->dimension(0) != (b)->info()->dimension(1), "The product AB is defined only if the number of columns in A is equal to the number of rows in B");
+    ARM_COMPUTE_ERROR_ON_MSG((a)->info()->dimension(1) != (output)->info()->dimension(1), "The output matrix must have the same number of rows as the matrix A");
+    ARM_COMPUTE_ERROR_ON_MSG((b)->info()->dimension(0) != (output)->info()->dimension(0), "The output matrix must have the same number of columns as the matrix B");
+
+#ifdef __aarch64__
+    const int            M                   = output->info()->tensor_shape().y();
+    const int            N                   = output->info()->tensor_shape().x();
+    const int            K                   = a->info()->tensor_shape().x();
+    constexpr size_t     workspace_alignment = 4096;
+    const struct CPUInfo ci                  = NEScheduler::get().cpu_info();
+#endif /* __aarch64__ */
+
+#ifdef ARM_COMPUTE_AARCH64_V8_2
+    if(ci.CPU == CPUTarget::A75_DOT)
+    {
+        // Configure matrix multiply kernel
+        GemmInterleaved<gemm_s8_12x8, int8_t, int32_t> gemm(&ci, M, N, K, false, false);
+        _workspace.allocator()->init(TensorInfo(TensorShape{ (gemm.get_working_size() + workspace_alignment - 1) * NEScheduler::get().num_threads() }, 1, DataType::U8));
+        _memory_group.manage(&_workspace);
+
+        // Configure matrix multiplication kernel
+        auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpAArch64V8P4Kernel>();
+        k->configure(a, b, output, &_workspace, 1.f, 1.f);
+        _mm_kernel = std::move(k);
+        _workspace.allocator()->allocate();
+    }
+    else if(ci.CPU == CPUTarget::A55_DOT)
+    {
+        ARM_COMPUTE_ERROR_ON("WIP");
+    }
+    else
+#elif defined(ARM_COMPUTE_AARCH64_V8A)
+    if(1)
+    {
+        // Configure matrix multiply kernel
+        GemmInterleaved<gemm_s8_4x4, int8_t, int32_t> gemm(&ci, M, N, K, false, false);
+        _workspace.allocator()->init(TensorInfo(TensorShape{ (gemm.get_working_size() + workspace_alignment - 1) * NEScheduler::get().num_threads() }, 1, DataType::U8));
+        _memory_group.manage(&_workspace);
+        // Configure matrix multiplication kernel
+        auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpAArch64Kernel>();
+        k->configure(a, b, output, &_workspace, 1.f, 1.f);
+        _mm_kernel = std::move(k);
+        _workspace.allocator()->allocate();
+    }
+    else
+#endif /* ARM_COMPUTE_AARCH64_V8_2 */
+    {
+        // The interleaved output matrix will have the following shape: [ a_height * 4, ceil(a_width / 4.0f) ]
+        TensorShape shape_tmp_a = a->info()->tensor_shape();
+        shape_tmp_a.set(0, a->info()->dimension(0) * 4);
+        shape_tmp_a.set(1, std::ceil(a->info()->dimension(1) / 4.f));
+
+        // The transpose1xW output matrix will have the following shape: [ b_height * 16, ceil(b_width / 16.0f) ]
+        TensorShape shape_tmp_b = b->info()->tensor_shape();
+        shape_tmp_b.set(0, b->info()->dimension(1) * 16);
+        shape_tmp_b.set(1, std::ceil(b->info()->dimension(0) / 16.f));
+
+        TensorInfo info_a(shape_tmp_a, 1, a->info()->data_type());
+        TensorInfo info_b(shape_tmp_b, 1, b->info()->data_type());
+        _tmp_a.allocator()->init(info_a);
+        _tmp_b.allocator()->init(info_b);
+        _memory_group.manage(&_tmp_a);
+        _memory_group.manage(&_tmp_b);
+
+        // Configure interleave kernel
+        {
+            auto k = arm_compute::support::cpp14::make_unique<NEGEMMInterleave4x4Kernel>();
+            k->configure(a, &_tmp_a);
+            _mtx_a_reshape_kernel = std::move(k);
+        }
+
+        // Configure transpose kernel
+        {
+            auto k = arm_compute::support::cpp14::make_unique<NEGEMMTranspose1xWKernel>();
+            k->configure(b, &_tmp_b);
+            _mtx_b_reshape_kernel = std::move(k);
+        }
+
+        // Configure matrix multiply kernel
+        {
+            auto k = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixMultiplyKernel>();
+            k->configure(&_tmp_a, &_tmp_b, output);
+            _mm_kernel = std::move(k);
+        }
+
+        // Allocate tensors
+        _tmp_a.allocator()->allocate();
+        _tmp_b.allocator()->allocate();
+    }
+}
+
+void NEGEMMLowpAssemblyMatrixMultiplyCore::run()
+{
+    _memory_group.acquire();
+    if(_mtx_a_reshape_kernel)
+    {
+        NEScheduler::get().schedule(_mtx_a_reshape_kernel.get(), Window::DimY);
+    }
+
+    if(_mtx_b_reshape_kernel)
+    {
+        NEScheduler::get().schedule(_mtx_b_reshape_kernel.get(), Window::DimY);
+    }
+
+    NEScheduler::get().schedule(_mm_kernel.get(), Window::DimY);
+
+    _memory_group.release();
+}