1 files changed, 61 insertions, 0 deletions
diff --git a/src/runtime/heuristics/dwc_native/ClDWCNativeHeuristicsHelpers.cpp b/src/runtime/heuristics/dwc_native/ClDWCNativeHeuristicsHelpers.cpp
new file mode 100644
index 0000000000..c8b006c546
--- /dev/null
+++ b/src/runtime/heuristics/dwc_native/ClDWCNativeHeuristicsHelpers.cpp
@@ -0,0 +1,61 @@
+/*
+ * Copyright (c) 2022 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/CL/CLHelpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace cl_dwc
+{
+bool use_cl_image_for_weights(const ITensorInfo *weights, unsigned int depth_multiplier)
+{
+    // Check whether we can use the cl image with the weights.
+    if (!export_to_cl_image(weights))
+    {
+        return false;
+    }
+
+    const size_t idx_w    = get_data_layout_dimension_index(weights->data_layout(), DataLayoutDimension::WIDTH);
+    const size_t idx_h    = get_data_layout_dimension_index(weights->data_layout(), DataLayoutDimension::HEIGHT);
+    const size_t kernel_w = weights->tensor_shape()[idx_w];
+    const size_t kernel_h = weights->tensor_shape()[idx_h];
+
+    // If we can use the cl image storage with the weights, we prefer to use the cl buffer storage in the following cases for performance reasons:
+    // 1- When the kernel size is 1x1
+    // 2- When the depth multiplier is greater than 1 and not multiple of 4.
+    if ((kernel_w == 1) && (kernel_h == 1))
+    {
+        return false;
+    }
+
+    if ((depth_multiplier > 1) && (depth_multiplier % 4) != 0)
+    {
+        return false;
+    }
+
+    return true;
+}
+} // namespace cl_dwc
+} // namespace arm_compute