1 files changed, 220 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_3x3.cpp b/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_3x3.cpp
new file mode 100644
index 0000000000..28f042bcbf
--- /dev/null
+++ b/src/core/NEON/kernels/convolution/winograd/output_transforms/arm_fp32_2x2_3x3.cpp
@@ -0,0 +1,220 @@
+/*
+ * Copyright (c) 2022, 2024 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 <algorithm>
+#include <cstddef>
+#include <arm_neon.h>
+
+namespace arm_conv {
+namespace winograd {
+namespace output_transform {
+
+void arm_fp32_2x2_3x3(
+  unsigned int n_channels,
+  const float* inptr,
+  size_t matrix_stride,
+  const float* bptr,
+  float *outptr,
+  size_t output_row_stride,
+  size_t output_col_stride,
+  float output_min,
+  float output_max
+)
+{
+  constexpr auto output_tile_rows = 2u, output_tile_cols = 2u;
+
+  // For each channel of the output
+  for (; n_channels >= 4; n_channels -= 4)
+  {
+    // Matrices used and computed during this transform
+    float32x4_t F[4][4], FZ[4][2], f[2][2], b;
+
+    // Read a 4x4 tile in the Winograd domain
+    for (auto i = 0u, m = 0u; i < 4; i++)
+    {
+      for (auto j = 0u; j < 4; j++, m++)
+      {
+        F[i][j] = vld1q_f32(inptr + m*matrix_stride);
+      }
+    }
+    inptr += 4;
+
+    // Compute the matrix F Z
+    for (auto i = 0u; i < 4; i++)
+    {
+      // FZ[i][0] =  F[i][0] + F[i][1] + F[i][2];
+      FZ[i][0] = vaddq_f32(vaddq_f32(F[i][0], F[i][1]), F[i][2]);
+
+      // FZ[i][1] =  F[i][1] - F[i][2] - F[i][3];
+      FZ[i][1] = vsubq_f32(vsubq_f32(F[i][1], F[i][2]), F[i][3]);
+    }
+
+    // Compute the output tile f = ZT F Z
+    for (auto j = 0u; j < 2; j++)
+    {
+      // f[0][j] =  FZ[0][j] + FZ[1][j] + FZ[2][j];
+      f[0][j] = vaddq_f32(vaddq_f32(FZ[0][j], FZ[1][j]), FZ[2][j]);
+
+      // f[1][j] =  FZ[1][j] - FZ[2][j] - FZ[3][j];
+      f[1][j] = vsubq_f32(vsubq_f32(FZ[1][j], FZ[2][j]), FZ[3][j]);
+    }
+
+    // Load the bias vector
+    if (bptr != nullptr)
+    {
+      b = vld1q_f32(bptr);
+      bptr += 4;
+    }
+    else
+    {
+      b = vdupq_n_f32(0.0f);
+    }
+
+    // Write out the output tile
+    for (auto i = 0u; i < output_tile_rows; i++)
+    {
+      for (auto j = 0u; j < output_tile_cols; j++)
+      {
+        const auto y =
+            vmaxq_f32(vminq_f32(vaddq_f32(f[i][j], b), vdupq_n_f32(output_max)),
+                      vdupq_n_f32(output_min));
+        vst1q_f32(outptr + i*output_row_stride + j*output_col_stride, y);
+      }
+    }
+    outptr += 4;
+  }
+  for (; n_channels >= 2; n_channels -= 2)
+  {
+    // Matrices used and computed during this transform
+    float32x2_t F[4][4], FZ[4][2], f[2][2], b;
+
+    // Read a 4x4 tile in the Winograd domain
+    for (auto i = 0u, m = 0u; i < 4; i++)
+    {
+      for (auto j = 0u; j < 4; j++, m++)
+      {
+        F[i][j] = vld1_f32(inptr + m*matrix_stride);
+      }
+    }
+    inptr += 2;
+
+    // Compute the matrix F Z
+    for (auto i = 0u; i < 4; i++)
+    {
+      // FZ[i][0] =  F[i][0] + F[i][1] + F[i][2];
+      FZ[i][0] = vadd_f32(vadd_f32(F[i][0], F[i][1]), F[i][2]);
+
+      // FZ[i][1] =  F[i][1] - F[i][2] - F[i][3];
+      FZ[i][1] = vsub_f32(vsub_f32(F[i][1], F[i][2]), F[i][3]);
+    }
+
+    // Compute the output tile f = ZT F Z
+    for (auto j = 0u; j < 2; j++)
+    {
+      // f[0][j] =  FZ[0][j] + FZ[1][j] + FZ[2][j];
+      f[0][j] = vadd_f32(vadd_f32(FZ[0][j], FZ[1][j]), FZ[2][j]);
+
+      // f[1][j] =  FZ[1][j] - FZ[2][j] - FZ[3][j];
+      f[1][j] = vsub_f32(vsub_f32(FZ[1][j], FZ[2][j]), FZ[3][j]);
+    }
+
+    // Load the bias vector
+    if (bptr != nullptr)
+    {
+      b = vld1_f32(bptr);
+      bptr += 2;
+    }
+    else
+    {
+      b = vdup_n_f32(0.0f);
+    }
+
+    // Write out the output tile
+    for (auto i = 0u; i < output_tile_rows; i++)
+    {
+      for (auto j = 0u; j < output_tile_cols; j++)
+      {
+        const auto y =
+            vmax_f32(vmin_f32(vadd_f32(f[i][j], b), vdup_n_f32(output_max)),
+                     vdup_n_f32(output_min));
+        vst1_f32(outptr + i*output_row_stride + j*output_col_stride, y);
+      }
+    }
+    outptr += 2;
+  }
+  for (; n_channels; n_channels--)
+  {
+    // Matrices used and computed during this transform
+    float F[4][4], FZ[4][2], f[2][2], b;
+
+    // Read a 4x4 tile in the Winograd domain
+    for (auto i = 0u, m = 0u; i < 4; i++)
+    {
+      for (auto j = 0u; j < 4; j++, m++)
+      {
+        F[i][j] = *(inptr + m*matrix_stride);
+      }
+    }
+    inptr++;
+
+    // Compute the matrix F Z
+    for (auto i = 0u; i < 4; i++)
+    {
+      FZ[i][0] =  F[i][0] + F[i][1] + F[i][2];
+      FZ[i][1] =  F[i][1] - F[i][2] - F[i][3];
+    }
+
+    // Compute the output tile f = ZT F Z
+    for (auto j = 0u; j < 2; j++)
+    {
+      f[0][j] =  FZ[0][j] + FZ[1][j] + FZ[2][j];
+      f[1][j] =  FZ[1][j] - FZ[2][j] - FZ[3][j];
+    }
+
+    // Load the bias
+    if (bptr != nullptr)
+    {
+      b = *(bptr++);
+    }
+    else
+    {
+      b = 0.0f;
+    }
+
+    // Write out the output tile
+    for (auto i = 0u; i < output_tile_rows; i++)
+    {
+      for (auto j = 0u; j < output_tile_cols; j++)
+      {
+        const auto y = std::max(std::min(f[i][j] + b, output_max), output_min);
+        *(outptr + i*output_row_stride + j*output_col_stride) = y;
+      }
+    }
+    outptr++;
+  }
+}
+
+}  // namespace output_transform
+}  // namespace winograd
+}  // namespace arm_conv