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Diffstat (limited to 'src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_6x6_fp16_fp16_integers.cpp')
-rw-r--r--src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_6x6_fp16_fp16_integers.cpp277
1 files changed, 0 insertions, 277 deletions
diff --git a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_6x6_fp16_fp16_integers.cpp b/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_6x6_fp16_fp16_integers.cpp
deleted file mode 100644
index d0ce307988..0000000000
--- a/src/core/NEON/kernels/convolution/winograd/winograd_transforms/input_6x6_fp16_fp16_integers.cpp
+++ /dev/null
@@ -1,277 +0,0 @@
-/*
- * 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 "arm.hpp"
-#include "input.hpp"
-
-namespace winograd
-{
-template <>
-void InputTransform<6, 6, __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 = 6;
- constexpr int inner_tile_cols = 6;
-
- // 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;
- 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);
- }
- }
-
- // Read a 6x6 tile in the Winograd domain
- 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] = 4*x[0][j] + -5*x[2][j] + 1*x[4][j];
- XTx[0][j] = vsubq_f16(vaddq_f16(x[4][j], vmulq_f16(x[0][j], vdupq_n_f16(4.0f))), vmulq_f16(x[2][j], vdupq_n_f16(5.0f)));
-
- // XTx[1][j] = -4*x[1][j] + -4*x[2][j] + 1*x[3][j] + 1*x[4][j];
- XTx[1][j] = vsubq_f16(vaddq_f16(x[3][j], x[4][j]), vmulq_f16(vaddq_f16(x[1][j], x[2][j]), vdupq_n_f16(4.0f)));
-
- // XTx[2][j] = 4*x[1][j] + -4*x[2][j] + -1*x[3][j] + 1*x[4][j];
- XTx[2][j] = vaddq_f16(vsubq_f16(x[4][j], x[3][j]), vmulq_f16(vsubq_f16(x[1][j], x[2][j]), vdupq_n_f16(4.0f)));
-
- // XTx[3][j] = -2*x[1][j] + -1*x[2][j] + 2*x[3][j] + 1*x[4][j];
- XTx[3][j] = vaddq_f16(vsubq_f16(x[4][j], x[2][j]), vmulq_f16(vsubq_f16(x[3][j], x[1][j]), vdupq_n_f16(2.0f)));
-
- // XTx[4][j] = 2*x[1][j] + -1*x[2][j] + -2*x[3][j] + 1*x[4][j];
- XTx[4][j] = vaddq_f16(vsubq_f16(x[4][j], x[2][j]), vmulq_f16(vsubq_f16(x[1][j], x[3][j]), vdupq_n_f16(2.0f)));
-
- // XTx[5][j] = 4*x[1][j] + -5*x[3][j] + 1*x[5][j];
- XTx[5][j] = vsubq_f16(vaddq_f16(x[5][j], vmulq_f16(x[1][j], vdupq_n_f16(4.0f))), vmulq_f16(x[3][j], vdupq_n_f16(5.0f)));
- }
-
- // Compute U = XT . x . X
- for (int i = 0; i < inner_tile_rows; i++)
- {
- // U[i][0] = 4*XTx[i][0] + -5*XTx[i][2] + 1*XTx[i][4];
- U[i][0] = vsubq_f16(vaddq_f16(XTx[i][4], vmulq_f16(XTx[i][0], vdupq_n_f16(4.0f))), vmulq_f16(XTx[i][2], vdupq_n_f16(5.0f)));
-
- // U[i][1] = -4*XTx[i][1] + -4*XTx[i][2] + 1*XTx[i][3] + 1*XTx[i][4];
- U[i][1] = vsubq_f16(vaddq_f16(XTx[i][3], XTx[i][4]), vmulq_f16(vaddq_f16(XTx[i][1], XTx[i][2]), vdupq_n_f16(4.0f)));
-
- // U[i][2] = 4*XTx[i][1] + -4*XTx[i][2] + -1*XTx[i][3] + 1*XTx[i][4];
- U[i][2] = vaddq_f16(vsubq_f16(XTx[i][4], XTx[i][3]), vmulq_f16(vsubq_f16(XTx[i][1], XTx[i][2]), vdupq_n_f16(4.0f)));
-
- // U[i][3] = -2*XTx[i][1] + -1*XTx[i][2] + 2*XTx[i][3] + 1*XTx[i][4];
- U[i][3] = vaddq_f16(vsubq_f16(XTx[i][4], XTx[i][2]), vmulq_f16(vsubq_f16(XTx[i][3], XTx[i][1]), vdupq_n_f16(2.0f)));
-
- // U[i][4] = 2*XTx[i][1] + -1*XTx[i][2] + -2*XTx[i][3] + 1*XTx[i][4];
- U[i][4] = vaddq_f16(vsubq_f16(XTx[i][4], XTx[i][2]), vmulq_f16(vsubq_f16(XTx[i][1], XTx[i][3]), vdupq_n_f16(2.0f)));
-
- // U[i][5] = 4*XTx[i][1] + -5*XTx[i][3] + 1*XTx[i][5];
- U[i][5] = vsubq_f16(vaddq_f16(XTx[i][5], vmulq_f16(XTx[i][1], vdupq_n_f16(4.0f))), vmulq_f16(XTx[i][3], vdupq_n_f16(5.0f)));
- }
-
- // 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;
- }
- 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);
- }
- }
-
- // Read a 6x6 tile in the Winograd domain
- 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] = 4*x[0][j] + -5*x[2][j] + 1*x[4][j];
- XTx[0][j] = vsub_f16(vadd_f16(x[4][j], vmul_f16(x[0][j], vdup_n_f16(4.0f))), vmul_f16(x[2][j], vdup_n_f16(5.0f)));
-
- // XTx[1][j] = -4*x[1][j] + -4*x[2][j] + 1*x[3][j] + 1*x[4][j];
- XTx[1][j] = vsub_f16(vadd_f16(x[3][j], x[4][j]), vmul_f16(vadd_f16(x[1][j], x[2][j]), vdup_n_f16(4.0f)));
-
- // XTx[2][j] = 4*x[1][j] + -4*x[2][j] + -1*x[3][j] + 1*x[4][j];
- XTx[2][j] = vadd_f16(vsub_f16(x[4][j], x[3][j]), vmul_f16(vsub_f16(x[1][j], x[2][j]), vdup_n_f16(4.0f)));
-
- // XTx[3][j] = -2*x[1][j] + -1*x[2][j] + 2*x[3][j] + 1*x[4][j];
- XTx[3][j] = vadd_f16(vsub_f16(x[4][j], x[2][j]), vmul_f16(vsub_f16(x[3][j], x[1][j]), vdup_n_f16(2.0f)));
-
- // XTx[4][j] = 2*x[1][j] + -1*x[2][j] + -2*x[3][j] + 1*x[4][j];
- XTx[4][j] = vadd_f16(vsub_f16(x[4][j], x[2][j]), vmul_f16(vsub_f16(x[1][j], x[3][j]), vdup_n_f16(2.0f)));
-
- // XTx[5][j] = 4*x[1][j] + -5*x[3][j] + 1*x[5][j];
- XTx[5][j] = vsub_f16(vadd_f16(x[5][j], vmul_f16(x[1][j], vdup_n_f16(4.0f))), vmul_f16(x[3][j], vdup_n_f16(5.0f)));
- }
-
- // Compute U = XT . x . X
- for (int i = 0; i < inner_tile_rows; i++)
- {
- // U[i][0] = 4*XTx[i][0] + -5*XTx[i][2] + 1*XTx[i][4];
- U[i][0] = vsub_f16(vadd_f16(XTx[i][4], vmul_f16(XTx[i][0], vdup_n_f16(4.0f))), vmul_f16(XTx[i][2], vdup_n_f16(5.0f)));
-
- // U[i][1] = -4*XTx[i][1] + -4*XTx[i][2] + 1*XTx[i][3] + 1*XTx[i][4];
- U[i][1] = vsub_f16(vadd_f16(XTx[i][3], XTx[i][4]), vmul_f16(vadd_f16(XTx[i][1], XTx[i][2]), vdup_n_f16(4.0f)));
-
- // U[i][2] = 4*XTx[i][1] + -4*XTx[i][2] + -1*XTx[i][3] + 1*XTx[i][4];
- U[i][2] = vadd_f16(vsub_f16(XTx[i][4], XTx[i][3]), vmul_f16(vsub_f16(XTx[i][1], XTx[i][2]), vdup_n_f16(4.0f)));
-
- // U[i][3] = -2*XTx[i][1] + -1*XTx[i][2] + 2*XTx[i][3] + 1*XTx[i][4];
- U[i][3] = vadd_f16(vsub_f16(XTx[i][4], XTx[i][2]), vmul_f16(vsub_f16(XTx[i][3], XTx[i][1]), vdup_n_f16(2.0f)));
-
- // U[i][4] = 2*XTx[i][1] + -1*XTx[i][2] + -2*XTx[i][3] + 1*XTx[i][4];
- U[i][4] = vadd_f16(vsub_f16(XTx[i][4], XTx[i][2]), vmul_f16(vsub_f16(XTx[i][1], XTx[i][3]), vdup_n_f16(2.0f)));
-
- // U[i][5] = 4*XTx[i][1] + -5*XTx[i][3] + 1*XTx[i][5];
- U[i][5] = vsub_f16(vadd_f16(XTx[i][5], vmul_f16(XTx[i][1], vdup_n_f16(4.0f))), vmul_f16(XTx[i][3], vdup_n_f16(5.0f)));
- }
-
- // 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;
- }
- 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] = 4*x[0][j] + -5*x[2][j] + 1*x[4][j];
- XTx[1][j] = -4*x[1][j] + -4*x[2][j] + 1*x[3][j] + 1*x[4][j];
- XTx[2][j] = 4*x[1][j] + -4*x[2][j] + -1*x[3][j] + 1*x[4][j];
- XTx[3][j] = -2*x[1][j] + -1*x[2][j] + 2*x[3][j] + 1*x[4][j];
- XTx[4][j] = 2*x[1][j] + -1*x[2][j] + -2*x[3][j] + 1*x[4][j];
- XTx[5][j] = 4*x[1][j] + -5*x[3][j] + 1*x[5][j];
- }
-
- // Compute U = XT . x . X
- for (int i = 0; i < inner_tile_rows; i++)
- {
- U[i][0] = 4*XTx[i][0] + -5*XTx[i][2] + 1*XTx[i][4];
- U[i][1] = -4*XTx[i][1] + -4*XTx[i][2] + 1*XTx[i][3] + 1*XTx[i][4];
- U[i][2] = 4*XTx[i][1] + -4*XTx[i][2] + -1*XTx[i][3] + 1*XTx[i][4];
- U[i][3] = -2*XTx[i][1] + -1*XTx[i][2] + 2*XTx[i][3] + 1*XTx[i][4];
- U[i][4] = 2*XTx[i][1] + -1*XTx[i][2] + -2*XTx[i][3] + 1*XTx[i][4];
- U[i][5] = 4*XTx[i][1] + -5*XTx[i][3] + 1*XTx[i][5];
- }
-
- // 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<6, 6, __fp16, __fp16, WinogradRoots::Integers>;
-
-} // namespace winograd
-#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC \ No newline at end of file
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