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-rw-r--r--examples/graph_vgg16.cpp21
1 files changed, 19 insertions, 2 deletions
diff --git a/examples/graph_vgg16.cpp b/examples/graph_vgg16.cpp
index d97c5b5d02..c3eb922f0e 100644
--- a/examples/graph_vgg16.cpp
+++ b/examples/graph_vgg16.cpp
@@ -33,6 +33,20 @@ using namespace arm_compute::utils;
using namespace arm_compute::graph;
using namespace arm_compute::graph_utils;
+namespace
+{
+/** This function checks if we can use GEMM-based convolution trying to allocate a memory of size "size_in_bytes"
+ *
+ * @param[in] size_in_bytes Memory size in bytes needed for VGG-16
+ *
+ * @return The convolution layer hint
+ */
+ConvolutionMethodHint convolution_hint_vgg16(size_t size_in_bytes)
+{
+ return ((get_mem_free_from_meminfo() * 1024) >= size_in_bytes) ? ConvolutionMethodHint::GEMM : ConvolutionMethodHint::DIRECT;
+}
+} // namespace
+
/** Example demonstrating how to implement VGG16's network using the Compute Library's graph API
*
* @param[in] argc Number of arguments
@@ -52,8 +66,11 @@ public:
constexpr float mean_b = 103.939f; /* Mean value to subtract from blue channel */
// Set target. 0 (NEON), 1 (OpenCL). By default it is NEON
- TargetHint target_hint = set_target_hint(argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0);
- ConvolutionMethodHint convolution_hint = ConvolutionMethodHint::DIRECT;
+ TargetHint target_hint = set_target_hint(argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0);
+
+ // Check if we can use GEMM-based convolutions evaluating if the platform has at least 1.8 GB of available memory
+ const size_t memory_required = 1932735283L;
+ ConvolutionMethodHint convolution_hint = convolution_hint_vgg16(memory_required);
// Parse arguments
if(argc < 2)