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-rw-r--r--src/core/NEON/kernels/convolution/winograd/batched_blocked_gemm.cpp82
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diff --git a/src/core/NEON/kernels/convolution/winograd/batched_blocked_gemm.cpp b/src/core/NEON/kernels/convolution/winograd/batched_blocked_gemm.cpp
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index 0000000000..ac83bf9dd2
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+++ b/src/core/NEON/kernels/convolution/winograd/batched_blocked_gemm.cpp
@@ -0,0 +1,82 @@
+/*
+ * Copyright (c) 2017 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_compute/core/NEON/kernels/convolution/winograd/batched_blocked_gemm.hpp"
+#include "arm_compute/core/NEON/kernels/convolution/winograd/gemm.hpp"
+
+using namespace winograd;
+
+template <const int MB, const int NB, typename TIn, typename TOut>
+BatchedBlockedGemm<MB, NB, TIn, TOut>::BatchedBlockedGemm(
+ const unsigned int n_gemms,
+ const int M, const int K, const int N,
+ const int a_matrix_stride,
+ const int a_row_stride,
+ const int b_matrix_stride,
+ const int b_row_stride,
+ const int c_matrix_stride,
+ const int c_row_stride,
+ const TIn* const a_ptr,
+ const TIn* const b_ptr,
+ TOut* const c_ptr
+) : n_gemms(n_gemms), M(M), N(N), K(K),
+ a_matrix_stride(a_matrix_stride),
+ a_row_stride(a_row_stride),
+ b_matrix_stride(b_matrix_stride),
+ b_row_stride(b_row_stride),
+ c_matrix_stride(c_matrix_stride),
+ c_row_stride(c_row_stride),
+ a_ptr(a_ptr), b_ptr(b_ptr), c_ptr(c_ptr)
+{
+}
+
+template <const int MBlock, const int NBlock, typename TIn, typename TOut>
+unsigned int BatchedBlockedGemm<MBlock, NBlock, TIn, TOut>::get_window() const
+{
+ return n_gemms;
+}
+
+template <const int MBlock, const int NBlock, typename TIn, typename TOut>
+void BatchedBlockedGemm<MBlock, NBlock, TIn, TOut>::run(
+ const unsigned int start, const unsigned int stop
+)
+{
+ // Perform the specified GEMMs
+ for (unsigned int i = start; i < stop; i++)
+ {
+ // Get pointers to the relevant matrices
+ const TIn* const mtr_a = a_ptr + i*a_matrix_stride;
+ const TIn* const mtr_b = b_ptr + i*b_matrix_stride;
+ TOut* const mtr_c = c_ptr + i*c_matrix_stride;
+
+ // Perform the GEMM
+ BlockedGemm<MBlock, NBlock, TIn, TOut>(
+ mtr_a, mtr_b, mtr_c, M, K, N,
+ a_row_stride, b_row_stride, c_row_stride
+ );
+ }
+}
+
+template class winograd::BatchedBlockedGemm<4, 16, float, float>;
+