1 files changed, 0 insertions, 152 deletions
diff --git a/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp b/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp
deleted file mode 100644
index 3b2975dd80..0000000000
--- a/src/core/NEON/kernels/assembly/NEGEMMInterleavedMatrixMultiplyWrapper.cpp
+++ /dev/null
@@ -1,152 +0,0 @@
-/*
- * 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/NEGEMMInterleavedMatrixMultiplyWrapper.h"
-
-#include "NEGEMMInterleavedStrategies.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/WindowIterator.h"
-
-namespace arm_compute
-{
-template <typename To, typename Tr, bool use_dot>
-void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::configure(const ITensor *prepared_a, const ITensor *transformed_b, ITensor *tmp_c, ITensor *c, const Window &block_walker,
-                                                                                const BlockSizes &block_sizes, const INEGEMMWrapperKernel::Params &params, bool b_is_pretransposed, float alpha, float beta, unsigned int max_num_threads)
-{
-    using strategy = typename Kernel<To, use_dot>::strategy;
-
-    _prepared_a         = prepared_a;
-    _transformed_b      = transformed_b;
-    _tmp_c              = tmp_c;
-    _c                  = c;
-    _block_walker       = block_walker;
-    _block_sizes        = block_sizes;
-    _params             = params;
-    _b_is_pretransposed = b_is_pretransposed;
-    _alpha              = alpha;
-    _beta               = beta;
-
-    auto_init_if_empty(*_tmp_c->info(), c->info()->clone()->set_tensor_shape(TensorShape{ _block_sizes.x_block * strategy::out_height(), max_num_threads }));
-}
-
-template <typename To, typename Tr, bool use_dot>
-void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::transform(const MatrixMultiplyWorkload &wl, const ThreadInfo &info, const Window &batch_window, const Coordinates &start_offset,
-                                                                                const Coordinates &end_offset)
-{
-    using strategy = typename Kernel<To, use_dot>::strategy;
-
-    strategy           strat(info.cpu_info);
-    TensorAccessor<To> prepared_a(*_prepared_a);
-    TensorAccessor<To> transformed_b(*_transformed_b);
-    TensorAccessor<Tr> c(*_c);
-    TensorAccessor<Tr> tmp_c(*_tmp_c);
-
-    int  prev_batch      = -1;
-    To *a_ptr           = nullptr;
-    auto window_iterator = arm_compute::create_window_iterator(batch_window, start_offset, end_offset, [&](const Coordinates & id)
-    {
-        const unsigned int y     = id.x();
-        const unsigned int batch = id.y();
-        const unsigned int ymax  = std::min(_params.M, y + strategy::out_height());
-
-        // If it's the first block of a new batch then reset the pointer to A.
-        if(prev_batch != static_cast<int>(batch))
-        {
-            const unsigned int first_m = id.x();
-            a_ptr                      = prepared_a(0, first_m, batch);
-            prev_batch                 = batch;
-        }
-
-        // Call matrix multiply assembly routine to process the block:
-        strat.kernel(a_ptr, transformed_b(wl._offset_transformed_b), tmp_c(0, info.thread_id), 1, wl._bblocks, wl._kern_k);
-        a_ptr += strategy::out_height() * wl._kern_k;
-
-        // Merge the result with the other blocks' results:
-        strat.transforms.Merge(c(0, 0, batch, wl._multi), tmp_c(0, info.thread_id), c.stride(1), y, ymax, wl._x0, wl._xmax, _alpha, (wl._k0 == 0 ? _beta : static_cast<Tr>(1)));
-    });
-    auto on_new_row_size = [&](unsigned int start, unsigned int end)
-    {
-        //Nothing to do
-    };
-    window_iterator.iterate_2D(on_new_row_size);
-}
-
-template <typename To, typename Tr, bool use_dot>
-void NEGEMMInterleavedMatrixMultiplyWrapperTemplate<To, Tr, use_dot>::create_workloads(std::vector<MatrixMultiplyWorkload> &workloads)
-{
-    using strategy = typename Kernel<To, use_dot>::strategy;
-
-    unsigned int offset_transformed_b = 0;
-    unsigned int wl_index             = 0;
-    unsigned int num_buffers = 0, reshaped_block_size = 0;
-
-    if(!_b_is_pretransposed)
-    {
-        num_buffers         = _transformed_b->info()->tensor_shape()[1];
-        reshaped_block_size = _transformed_b->info()->tensor_shape()[0];
-    }
-    execute_window_loop(_block_walker, [&](const Coordinates & id)
-    {
-        const unsigned int x0    = id.x();
-        const unsigned int k0    = id.y();
-        const unsigned int multi = id.z();
-
-        const unsigned int xmax = std::min(x0 + _block_walker.x().step(), _params.N);
-        const unsigned int kmax = std::min(k0 + _block_walker.y().step(), _params.K);
-
-        // Figure out how many "K" the kernel will actually process.
-        const int kern_k  = ceil_to_multiple(kmax - k0, strategy::k_unroll());
-        const int bblocks = DIV_CEIL(xmax - x0, strategy::out_width());
-
-        workloads.push_back(MatrixMultiplyWorkload(offset_transformed_b, x0, xmax, k0, kmax, multi, kern_k, bblocks));
-
-        if(_b_is_pretransposed)
-        {
-            offset_transformed_b += bblocks * strategy::out_width() * kern_k;
-        }
-        else
-        {
-            // Rotate through the BufferManager's buffers:
-            wl_index++;
-            offset_transformed_b = (wl_index % num_buffers) * reshaped_block_size;
-        }
-    });
-}
-
-//TODO: regroup somewhere ?
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<float, float>;
-#ifdef __aarch64__
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<uint8_t, uint32_t>;
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<int8_t, int32_t>;
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<uint8_t, uint32_t, true>;
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<int8_t, int32_t, true>;
-#endif /* __aarch64__ */
-
-#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
-template class NEGEMMInterleavedMatrixMultiplyWrapperTemplate<float16_t, float16_t>;
-#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
-} // namespace arm_compute