1 files changed, 0 insertions, 122 deletions
diff --git a/tests/validation/CPP/GEMM.cpp b/tests/validation/CPP/GEMM.cpp
deleted file mode 100644
index 77d025ec8e..0000000000
--- a/tests/validation/CPP/GEMM.cpp
+++ /dev/null
@@ -1,122 +0,0 @@
-/*
- * 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 "GEMM.h"
-
-#include "arm_compute/core/Types.h"
-#include "tests/validation/FixedPoint.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
-SimpleTensor<T> gemm(const SimpleTensor<T> &a, const SimpleTensor<T> &b, const SimpleTensor<T> &c, float alpha, float beta)
-{
-    // Create reference
-    SimpleTensor<T> dst{ c.shape(), c.data_type(), 1, c.fixed_point_position() };
-
-    // Compute reference
-    const int M = dst.shape().y();
-    const int N = dst.shape().x();
-    const int K = a.shape().x();
-
-    for(int row = 0; row < M; ++row)
-    {
-        for(int col = 0; col < N; ++col)
-        {
-            T acc(0);
-
-            for(int k = 0; k < K; ++k)
-            {
-                acc += a[row * K + k] * b[k * N + col];
-            }
-
-            // Finalize the result: alpha * A * B + beta * C
-            dst[col + row * N] = alpha * acc + beta * c[col + row * N];
-        }
-    }
-
-    return dst;
-}
-
-template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type>
-SimpleTensor<T> gemm(const SimpleTensor<T> &a, const SimpleTensor<T> &b, const SimpleTensor<T> &c, float alpha, float beta)
-{
-    using namespace fixed_point_arithmetic;
-
-    // Create reference
-    SimpleTensor<T> dst{ c.shape(), c.data_type(), 1, c.fixed_point_position() };
-
-    // Compute reference
-    using promoted_type = fixed_point_arithmetic::traits::promote_t<T>;
-
-    const int M                    = dst.shape().y();
-    const int N                    = dst.shape().x();
-    const int K                    = a.shape().x();
-    const int fixed_point_position = a.fixed_point_position();
-
-    const fixed_point<T> alpha_q(alpha, fixed_point_position);
-    const fixed_point<T> beta_q(beta, fixed_point_position);
-
-    for(int row = 0; row < M; ++row)
-    {
-        for(int col = 0; col < N; ++col)
-        {
-            fixed_point<promoted_type> acc_q(0, fixed_point_position);
-
-            for(int k = 0; k < K; ++k)
-            {
-                const fixed_point<promoted_type> a0_q(a[row * K + k], fixed_point_position, true);
-                const fixed_point<promoted_type> b0_q(b[k * N + col], fixed_point_position, true);
-
-                acc_q = acc_q + (a0_q * b0_q);
-            }
-
-            // Finalize the result: alpha * A * B + beta * C
-            const fixed_point<T> c0_q(c[col + row * N], fixed_point_position, true);
-
-            fixed_point<T> res_q(acc_q);
-            res_q = alpha_q * res_q;
-            res_q = res_q + (beta_q * c0_q);
-
-            // Store the result
-            dst[col + row * N] = res_q.raw();
-        }
-    }
-
-    return dst;
-}
-
-template SimpleTensor<float> gemm(const SimpleTensor<float> &a, const SimpleTensor<float> &b, const SimpleTensor<float> &c, float alpha, float beta);
-template SimpleTensor<half> gemm(const SimpleTensor<half> &a, const SimpleTensor<half> &b, const SimpleTensor<half> &c, float alpha, float beta);
-template SimpleTensor<qint8_t> gemm(const SimpleTensor<qint8_t> &a, const SimpleTensor<qint8_t> &b, const SimpleTensor<qint8_t> &c, float alpha, float beta);
-template SimpleTensor<qint16_t> gemm(const SimpleTensor<qint16_t> &a, const SimpleTensor<qint16_t> &b, const SimpleTensor<qint16_t> &c, float alpha, float beta);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute