1 files changed, 257 insertions, 0 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp
new file mode 100644
index 0000000000..1ea68b5938
--- /dev/null
+++ b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_4x4_fp16_fp16_integers.cpp
@@ -0,0 +1,257 @@
+/*
+ * Copyright (c) 2020 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.
+ */
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+
+#include "input.hpp"
+#include "arm.hpp"
+
+namespace winograd
+{
+
+template <>
+void InputTransform<4, 4, __fp16, __fp16, WinogradRoots::Integers>::transform_tile(
+    const int n_channels,
+    const __fp16* const input_base,
+    const int input_row_stride,
+    const int input_col_stride,
+    __fp16* outptr,
+    const int matrix_stride
+)
+{
+    constexpr int inner_tile_rows = 4, inner_tile_cols = 4;
+
+    // Get pointers into the input tile
+    const __fp16 *x_ptrs[inner_tile_rows][inner_tile_cols];
+    for (int i = 0, xi = 0; i < inner_tile_rows; i++, xi++)
+    {
+        // Get a pointer into the row
+        const __fp16* const row_ptr = input_base + xi*input_row_stride;
+
+        for (int j = 0, xj = 0; j < inner_tile_cols; j++, xj++)
+        {
+            x_ptrs[i][j] = row_ptr + xj*input_col_stride;
+        }
+    }
+
+    // Matrices used/computed in this kernel.
+    __fp16 x[inner_tile_rows][inner_tile_cols];
+    __fp16 XTx[inner_tile_rows][inner_tile_cols];
+    __fp16 U[inner_tile_rows][inner_tile_cols];
+
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+        for (int j = 0; j < inner_tile_cols; j++)
+        {
+            x[i][j] = XTx[i][j] = 0.0f;
+        }
+    }
+
+    // Perform the Winograd input transformation for each channel in the input
+    // tensor.
+    int channels_remaining = n_channels;
+#ifdef __aarch64__
+    for (; channels_remaining >= 8; channels_remaining -= 8)
+  {
+    // Matrices used/computed in this kernel.
+    float16x8_t x[inner_tile_rows][inner_tile_cols];
+    float16x8_t XTx[inner_tile_rows][inner_tile_cols];
+    float16x8_t U[inner_tile_rows][inner_tile_cols];
+
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++)
+      {
+        x[i][j] = vdupq_n_f16(0.0f);
+        XTx[i][j] = vdupq_n_f16(0.0f);
+      }
+    }
+
+    // Load x
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++)
+      {
+        x[i][j] = vld1q_f16(x_ptrs[i][j]);
+        x_ptrs[i][j] += 8;
+      }
+    }
+
+    // Compute XT . x
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      // XTx[0][j] = x[0][j] - x[2][j];
+      XTx[0][j] = vsubq_f16(x[0][j], x[2][j]);
+
+      // XTx[1][j] = x[1][j] + x[2][j];
+      XTx[1][j] = vaddq_f16(x[1][j], x[2][j]);
+
+      // XTx[2][j] = x[2][j] - x[1][j];
+      XTx[2][j] = vsubq_f16(x[2][j], x[1][j]);
+
+      // XTx[3][j] = x[1][j] - x[3][j];
+      XTx[3][j] = vsubq_f16(x[1][j], x[3][j]);
+    }
+
+    // Compute U = XT . x . X
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      // U[i][0] = XTx[i][0] - XTx[i][2];
+      U[i][0] = vsubq_f16(XTx[i][0], XTx[i][2]);
+
+      // U[i][1] = XTx[i][1] + XTx[i][2];
+      U[i][1] = vaddq_f16(XTx[i][1], XTx[i][2]);
+
+      // U[i][2] = XTx[i][2] - XTx[i][1];
+      U[i][2] = vsubq_f16(XTx[i][2], XTx[i][1]);
+
+      // U[i][3] = XTx[i][1] - XTx[i][3];
+      U[i][3] = vsubq_f16(XTx[i][1], XTx[i][3]);
+    }
+
+    // Store the transformed matrix
+    for (int i = 0, m = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++, m++)
+      {
+        vst1q_f16(outptr + m*matrix_stride, U[i][j]);
+      }
+    }
+    outptr += 8;
+  }
+#endif  // __aarch64__
+#ifdef __arm_any__
+    for (; channels_remaining >= 4; channels_remaining -= 4)
+  {
+    // Matrices used/computed in this kernel.
+    float16x4_t x[inner_tile_rows][inner_tile_cols];
+    float16x4_t XTx[inner_tile_rows][inner_tile_cols];
+    float16x4_t U[inner_tile_rows][inner_tile_cols];
+
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++)
+      {
+        x[i][j] = vdup_n_f16(0.0f);
+        XTx[i][j] = vdup_n_f16(0.0f);
+      }
+    }
+
+    // Load x
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++)
+      {
+        x[i][j] = vld1_f16(x_ptrs[i][j]);
+        x_ptrs[i][j] += 4;
+      }
+    }
+
+    // Compute XT . x
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      // XTx[0][j] = x[0][j] - x[2][j];
+      XTx[0][j] = vsub_f16(x[0][j], x[2][j]);
+
+      // XTx[1][j] = x[1][j] + x[2][j];
+      XTx[1][j] = vadd_f16(x[1][j], x[2][j]);
+
+      // XTx[2][j] = x[2][j] - x[1][j];
+      XTx[2][j] = vsub_f16(x[2][j], x[1][j]);
+
+      // XTx[3][j] = x[1][j] - x[3][j];
+      XTx[3][j] = vsub_f16(x[1][j], x[3][j]);
+    }
+
+    // Compute U = XT . x . X
+    for (int i = 0; i < inner_tile_rows; i++)
+    {
+      // U[i][0] = XTx[i][0] - XTx[i][2];
+      U[i][0] = vsub_f16(XTx[i][0], XTx[i][2]);
+
+      // U[i][1] = XTx[i][1] + XTx[i][2];
+      U[i][1] = vadd_f16(XTx[i][1], XTx[i][2]);
+
+      // U[i][2] = XTx[i][2] - XTx[i][1];
+      U[i][2] = vsub_f16(XTx[i][2], XTx[i][1]);
+
+      // U[i][3] = XTx[i][1] - XTx[i][3];
+      U[i][3] = vsub_f16(XTx[i][1], XTx[i][3]);
+    }
+
+    // Store the transformed matrix
+    for (int i = 0, m = 0; i < inner_tile_rows; i++)
+    {
+      for (int j = 0; j < inner_tile_cols; j++, m++)
+      {
+        vst1_f16(outptr + m*matrix_stride, U[i][j]);
+      }
+    }
+    outptr += 4;
+  }
+#endif  // __arm_any__
+    for (; channels_remaining; channels_remaining--)
+    {
+        // Load x
+        for (int i = 0; i < inner_tile_rows; i++)
+        {
+            for (int j = 0; j < inner_tile_cols; j++)
+            {
+                x[i][j] = *(x_ptrs[i][j]++);
+            }
+        }
+
+        // Compute XT . x
+        for (int j = 0; j < inner_tile_cols; j++)
+        {
+            XTx[0][j] = x[0][j] - x[2][j];
+            XTx[1][j] = x[1][j] + x[2][j];
+            XTx[2][j] = x[2][j] - x[1][j];
+            XTx[3][j] = x[1][j] - x[3][j];
+        }
+
+        // Compute U = XT . x . X
+        for (int i = 0; i < inner_tile_rows; i++)
+        {
+            U[i][0] = XTx[i][0] - XTx[i][2];
+            U[i][1] = XTx[i][1] + XTx[i][2];
+            U[i][2] = XTx[i][2] - XTx[i][1];
+            U[i][3] = XTx[i][1] - XTx[i][3];
+        }
+
+        // Store the transformed matrix
+        for (int i = 0, m = 0; i < inner_tile_rows; i++)
+        {
+            for (int j = 0; j < inner_tile_cols; j++, m++)
+            {
+                *(outptr + m*matrix_stride) = U[i][j];
+            }
+        }
+        outptr++;
+    }
+}
+
+template class InputTransform<4, 4, __fp16, __fp16, WinogradRoots::Integers>;
+
+}  // namespace
+#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC