1 files changed, 0 insertions, 127 deletions
diff --git a/arm_compute/core/NEON/kernels/convolution/winograd/gemm.hpp b/arm_compute/core/NEON/kernels/convolution/winograd/gemm.hpp
deleted file mode 100644
index 6e06db324c..0000000000
--- a/arm_compute/core/NEON/kernels/convolution/winograd/gemm.hpp
+++ /dev/null
@@ -1,127 +0,0 @@
-/*
- * 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.
- */
-
-#pragma once
-#include "arm_compute/core/NEON/kernels/convolution/common/utils.hpp"
-
-template <typename TIn, typename TOut>
-inline void Gemm(const TIn* const a, const TIn* const b, TOut *c,
-          const int M, const int K, const int N,
-          const int a_row_stride,
-          const int b_row_stride,
-          const int c_row_stride,
-          const bool a_transposed=false,
-          const bool b_transposed=false) {
-  // Array access methods
-  const auto A = [a, a_transposed, M, K, a_row_stride] (const int i, const int j) -> TIn {
-    return a[(!a_transposed) ? i*a_row_stride + j : i + j*M];
-  };
-
-  const auto B = [b, b_transposed, K, N, b_row_stride] (const int i, const int j) -> TIn {
-    return b[(!b_transposed) ? i*b_row_stride + j : i + j*N];
-  };
-
-  const auto C = [c, c_row_stride] (const int i, const int j) -> TOut& {
-    return c[i*c_row_stride + j];
-  };
-
-  // Perform the matrix multiplication
-  for (int i = 0; i < M; i++) {
-    for (int j = 0; j < N; j++) {
-      for (int k = 0; k < K; k++) {
-        C(i, j) += A(i, k) * B(k, j);
-      }
-    }
-  }
-}
-
-template <const int M_BLOCK, const int N_BLOCK, typename TIn, typename TOut>
-inline void BlockedGemm(
-  const TIn* const a, const TIn* const b, TOut *c,
-  const int M, const int K, const int N,
-  const int a_row_stride,
-  const int b_row_stride,
-  const int c_row_stride
-) {
-  // Array access methods
-  const auto A = [a, a_row_stride] (const int i, const int j) -> TIn {
-    return a[i*a_row_stride + j];
-  };
-
-  const auto B = [b, b_row_stride] (const int i, const int j) -> TIn {
-    return b[i*b_row_stride + j];
-  };
-
-  const auto C = [c, c_row_stride] (const int i, const int j) -> TOut& {
-    return c[i*c_row_stride + j];
-  };
-
-  const int M_BLOCKS = iceildiv(M, M_BLOCK);
-  const int N_BLOCKS = iceildiv(N, N_BLOCK);
-
-  // For each block of output rows
-  for (int mblock = 0; mblock < M_BLOCKS; mblock++) {
-    // For each block of output columns
-    for (int nblock = 0; nblock < N_BLOCKS; nblock++) {
-      // Create an appropriately sized block of accumulators
-      TOut accum[M_BLOCK][N_BLOCK];
-      for (int i = 0; i < M_BLOCK; i++) {
-        for (int j = 0; j < N_BLOCK; j++) {
-          accum[i][j] = static_cast<TOut>(0);
-        }
-      }
-
-      // Perform this portion of the matrix multiply
-      for (int k = 0; k < K; k++) {
-        // Load elements of A
-        TIn elems_a[M_BLOCK];
-        for (int i = 0; i < M_BLOCK; i++) {
-          elems_a[i] = A(mblock*M_BLOCK + i, k);
-        }
-
-        // Load elements of B
-        TIn elems_b[N_BLOCK];
-        for (int j = 0; j < N_BLOCK; j++) {
-          elems_b[j] = B(k, nblock*N_BLOCK + j);
-        }
-
-        // Perform the partial matrix multiply
-        for (int i = 0; i < M_BLOCK; i++) {
-          for (int j = 0; j < N_BLOCK; j++) {
-            accum[i][j] += elems_a[i] * elems_b[j];
-          }
-        }
-      }
-
-      // Store the partial product
-      for (int i = 0; i < M_BLOCK; i++) {
-        for (int j = 0; j < N_BLOCK; j++) {
-          C(mblock*M_BLOCK + i, nblock*N_BLOCK + j) = accum[i][j];
-        }
-      }
-    }
-  }
-}
-
-#include "gemm/a64_sgemm.hpp"