1 files changed, 77 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/weight_transforms/cpp_fp32_1x4_1x5.cpp b/src/core/NEON/kernels/convolution/winograd/weight_transforms/cpp_fp32_1x4_1x5.cpp
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+++ b/src/core/NEON/kernels/convolution/winograd/weight_transforms/cpp_fp32_1x4_1x5.cpp
@@ -0,0 +1,77 @@
+/*
+ * Copyright (c) 2022 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 <cstddef>
+
+namespace arm_conv {
+namespace winograd {
+namespace weight_transform {
+
+void cpp_fp32_1x4_1x5(
+  unsigned int n_channels,
+  const float *inptr,
+  size_t,  // ld_weight_row
+  size_t ld_weight_col,
+  float *outptr,
+  size_t matrix_stride
+)
+{
+  constexpr auto kernel_cols = 5u, inner_tile_cols = 8u;
+
+  // For each output channel
+  for (; n_channels; n_channels--)
+  {
+    // Matrices used and computed in this kernel
+    float w[kernel_cols], V[inner_tile_cols];
+
+    // Read weights
+    for (auto j = 0u; j < kernel_cols; j++)
+    {
+      w[j] = *(inptr + j * ld_weight_col);
+    }
+
+    // Compute V = w WT
+    V[0] = (w[0]*-1) / 36;
+    V[1] = (w[1]*-1 + w[3]*-1 + w[0]*1 + w[2]*1 + w[4]*1) / 48;
+    V[2] = (w[0]*1 + w[1]*1 + w[2]*1 + w[3]*1 + w[4]*1) / 48;
+    V[3] = (w[0]*-1 + w[4]*-16 + w[2]*-4 + w[1]*2 + w[3]*8) / 120;
+    V[4] = (w[0]*-1 + w[4]*-16 + w[3]*-8 + w[2]*-4 + w[1]*-2) / 120;
+    V[5] = (w[3]*-27 + w[1]*-3 + w[2]*9 + w[4]*81 + w[0]*1) / 720;
+    V[6] = (w[1]*3 + w[2]*9 + w[3]*27 + w[4]*81 + w[0]*1) / 720;
+    V[7] = (w[4]*1) / 1;
+
+    // Store the transformed weights
+    for (auto  j = 0u; j < inner_tile_cols; j++)
+    {
+      *(outptr + j*matrix_stride) = V[j];
+    }
+
+    inptr++;
+    outptr++;
+  }
+}
+
+}  // namespace weight_transform
+}  // namespace winograd
+}  // namespace arm_conv