1 files changed, 113 insertions, 0 deletions
diff --git a/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultVariantValhall.cpp b/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultVariantValhall.cpp
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+++ b/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultVariantValhall.cpp
@@ -0,0 +1,113 @@
+/*
+ * Copyright (c) 2023 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 "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultVariantValhall.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/GPUTarget.h"
+#include "arm_compute/core/TensorInfo.h"
+
+namespace arm_compute
+{
+namespace cl_matmul
+{
+ClMatMulNativeDefaultVariantValhall::ClMatMulNativeDefaultVariantValhall(GPUTarget gpu)
+    : IClMatMulNativeKernelVariant(gpu)
+{
+}
+
+MatMulKernelType ClMatMulNativeDefaultVariantValhall::select_kernel(const ITensorInfo         *lhs,
+                                                                    const ITensorInfo         *rhs,
+                                                                    const MatMulInfo          &info,
+                                                                    const ActivationLayerInfo &act_info)
+{
+    ARM_COMPUTE_UNUSED(rhs);
+
+    using VariantFunctionExecutorPtr =
+        MatMulKernelType (ClMatMulNativeDefaultVariantValhall::*)(int k, bool act_enabled);
+
+    ClMatMulNativeVariantArray<VariantFunctionExecutorPtr> configs_G715(
+        &ClMatMulNativeDefaultVariantValhall::configure_G715_float,
+        &ClMatMulNativeDefaultVariantValhall::configure_G715_quantized);
+
+    ClMatMulNativeVariantArray<VariantFunctionExecutorPtr> configs_default(
+        &ClMatMulNativeDefaultVariantValhall::configure_default_float,
+        &ClMatMulNativeDefaultVariantValhall::configure_default_quantized);
+
+    VariantFunctionExecutorPtr func = nullptr;
+    switch (_target)
+    {
+        case GPUTarget::G715:
+        case GPUTarget::G615:
+            func = configs_G715.get_function(lhs->data_type());
+            break;
+        default:
+            func = configs_default.get_function(lhs->data_type());
+            break;
+    }
+
+    const int  k           = info.adj_lhs() ? lhs->tensor_shape().y() : lhs->tensor_shape().x();
+    const bool act_enabled = act_info.enabled();
+
+    ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for matmul native");
+    return (this->*func)(k, act_enabled);
+}
+
+MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_G715_float(int k, bool act_enabled)
+{
+    // MMUL kernel works only when K is a multiple of 4
+    if (!act_enabled && k % 4 == 0)
+    {
+        return MatMulKernelType::NATIVE_MMUL_FP;
+    }
+
+    return MatMulKernelType::NATIVE_FP;
+}
+
+MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_G715_quantized(int k, bool act_enabled)
+{
+    // MMUL kernel works only when K is a multiple of 16
+    if (!act_enabled && k % 16 == 0)
+    {
+        return MatMulKernelType::NATIVE_MMUL_QUANTIZED;
+    }
+
+    return MatMulKernelType::NATIVE_QUANTIZED;
+}
+
+MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_default_float(int k, bool act_enabled)
+{
+    ARM_COMPUTE_UNUSED(k, act_enabled);
+
+    return MatMulKernelType::NATIVE_FP;
+}
+
+MatMulKernelType ClMatMulNativeDefaultVariantValhall::configure_default_quantized(int k, bool act_enabled)
+{
+    ARM_COMPUTE_UNUSED(k, act_enabled);
+
+    return MatMulKernelType::NATIVE_QUANTIZED;
+}
+
+} // namespace cl_matmul
+} // namespace arm_compute