diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_1x8_fp32_fp32_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_1x8_fp32_fp32_integers.cpp
new file mode 100644
index 0000000..5040ec1
--- /dev/null
+++ b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_1x8_fp32_fp32_integers.cpp
@@ -0,0 +1,158 @@
+/*
+ * Copyright (c) 2019 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.hpp"
+#include "input.hpp"
+
+namespace winograd
+{
+
+template <>
+void InputTransform<1, 8, float, float, WinogradRoots::Integers>::transform_tile(
+  const int n_channels,
+  const float* const input_base,
+  const int,  // We don't need to stride over rows
+  const int input_col_stride,
+  float* outptr,
+  const int matrix_stride
+)
+{
+  constexpr int inner_tile_cols = 8;
+
+  // Get pointers into the input tile
+  const float *x_ptrs[inner_tile_cols];
+  for (int j = 0, xj = 0; j < inner_tile_cols; j++, xj++)
+  {
+    x_ptrs[j] = input_base + xj*input_col_stride;
+  }
+
+  // Vectors used/computed in this kernel.
+  float x[inner_tile_cols];
+  float U[inner_tile_cols];
+
+  for (int j = 0; j < inner_tile_cols; j++)
+  {
+    x[j] = 0.0f;
+  }
+
+  // Perform the Winograd input transformation for each channel in the input
+  // tensor.
+  int channels_remaining = n_channels;
+#ifdef _arm_any_
+  for (; channels_remaining >= 4; channels_remaining -= 4)
+  {
+    float32x4_t x[inner_tile_cols], U[inner_tile_cols];
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      x[j] = vdupq_n_f32(0.0f);
+    }
+
+    // Load x
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      x[j] = vld1q_f32(x_ptrs[j]);
+      x_ptrs[j] += 4;
+    }
+
+    // Compute U = x . X
+    U[0] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[2], 49), x[4], -14), x[0], -36);
+    U[1] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[2], 36), x[3], 13), x[4], -13), x[1], -36), x[5], -1);
+    U[2] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[5], 1), x[2], 36), x[1], 36), x[4], -13), x[3], -13);
+    U[3] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[3], 20), x[2], 9), x[5], -2), x[4], -10), x[1], -18);
+    U[4] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[1], 18), x[2], 9), x[5], 2), x[4], -10), x[3], -20);
+    U[5] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[3], 15), x[2], 4), x[5], -3), x[4], -5), x[1], -12);
+    U[6] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[6], 1), x[1], 12), x[2], 4), x[5], 3), x[4], -5), x[3], -15);
+    U[7] = vmlaq_n_f32(vmlaq_n_f32(vmlaq_n_f32(vmulq_n_f32(x[7], 1), x[3], 49), x[5], -14), x[1], -36);
+
+    // Store the transformed vector
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      vst1q_f32(outptr + j*matrix_stride, U[j]);
+    }
+    outptr += 4;
+  }
+  for (; channels_remaining >= 2; channels_remaining -= 2)
+  {
+    float32x2_t x[inner_tile_cols], U[inner_tile_cols];
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      x[j] = vdup_n_f32(0.0f);
+    }
+
+    // Load x
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      x[j] = vld1_f32(x_ptrs[j]);
+      x_ptrs[j] += 2;
+    }
+
+    // Compute U = x . X
+    U[0] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[2], 49), x[4], -14), x[0], -36);
+    U[1] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[2], 36), x[3], 13), x[4], -13), x[1], -36), x[5], -1);
+    U[2] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[5], 1), x[2], 36), x[1], 36), x[4], -13), x[3], -13);
+    U[3] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[3], 20), x[2], 9), x[5], -2), x[4], -10), x[1], -18);
+    U[4] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[1], 18), x[2], 9), x[5], 2), x[4], -10), x[3], -20);
+    U[5] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[3], 15), x[2], 4), x[5], -3), x[4], -5), x[1], -12);
+    U[6] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[6], 1), x[1], 12), x[2], 4), x[5], 3), x[4], -5), x[3], -15);
+    U[7] = vmla_n_f32(vmla_n_f32(vmla_n_f32(vmul_n_f32(x[7], 1), x[3], 49), x[5], -14), x[1], -36);
+
+    // Store the transformed vector
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      vst1_f32(outptr + j*matrix_stride, U[j]);
+    }
+    outptr += 2;
+  }
+#endif  // _arm_any_
+  for (; channels_remaining; channels_remaining--)
+  {
+    // Load x
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      x[j] = *(x_ptrs[j]++);
+    }
+
+    // Compute U = x . X
+    U[0] = x[0]*-36 + x[4]*-14 + x[2]*49 + x[6]*1;
+    U[1] = x[5]*-1 + x[1]*-36 + x[4]*-13 + x[3]*13 + x[2]*36 + x[6]*1;
+    U[2] = x[3]*-13 + x[4]*-13 + x[1]*36 + x[2]*36 + x[5]*1 + x[6]*1;
+    U[3] = x[1]*-18 + x[4]*-10 + x[5]*-2 + x[2]*9 + x[3]*20 + x[6]*1;
+    U[4] = x[3]*-20 + x[4]*-10 + x[5]*2 + x[2]*9 + x[1]*18 + x[6]*1;
+    U[5] = x[1]*-12 + x[4]*-5 + x[5]*-3 + x[2]*4 + x[3]*15 + x[6]*1;
+    U[6] = x[3]*-15 + x[4]*-5 + x[5]*3 + x[2]*4 + x[1]*12 + x[6]*1;
+    U[7] = x[1]*-36 + x[5]*-14 + x[3]*49 + x[7]*1;
+
+    // Store the transformed vector
+    for (int j = 0; j < inner_tile_cols; j++)
+    {
+      *(outptr + j*matrix_stride) = U[j];
+    }
+    outptr++;
+  }
+}
+
+template class InputTransform<1, 8, float, float, WinogradRoots::Integers>;
+template class InputTransform<8, 1, float, float, WinogradRoots::Integers>;
+
+}  // namespace winograd