Add WBSM tuning to CLTuner
Add WBSM as possible parameter to be tuned
Add helper functions to check WBSM support and setting the value in the kernel
Update tuning parameter lists to use WBSM
Update CLTuner to use WBSM
The WBSM tuning is exposed as a parameter to be set at compile time by setting the CLTuningInfo
CLTuningInfo contains information about the tuning mode and if wbsm tuning enabled
Resolves: COMPMID-3936
Change-Id: Id53697c9c6d2cef41c049f368002f6197351b3ed
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4914
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/src/runtime/CL/tuners/CLTuningParametersList.cpp b/src/runtime/CL/tuners/CLTuningParametersList.cpp
index 7f63078..6cb2212 100644
--- a/src/runtime/CL/tuners/CLTuningParametersList.cpp
+++ b/src/runtime/CL/tuners/CLTuningParametersList.cpp
@@ -35,8 +35,14 @@
class CLTuningParametersList : public ICLTuningParametersList
{
protected:
- /* Shape of 3-D search space */
- TensorShape search_space_shape{ 0, 0, 0 };
+ /* Shape of 4-D search space */
+ TensorShape search_space_shape{ 0, 0, 0, 0 };
+ std::vector<unsigned int> _lws_x{ 0 };
+ std::vector<unsigned int> _lws_y{ 0 };
+ std::vector<unsigned int> _lws_z{ 0 };
+ std::vector<int> _wbsm{ 0 }; /* Modify the batches size of workgroups distributed to compute units.
+ The value is in the range [-31,+31].
+ When 0, the runtime-selected wbs used is unmodified. */
/** Constructor */
CLTuningParametersList() = default;
@@ -62,7 +68,7 @@
/** Prevent default constructor calls */
CLTuningParametersListExhaustive() = delete;
/** Constructor */
- CLTuningParametersListExhaustive(const cl::NDRange &gws);
+ CLTuningParametersListExhaustive(const cl::NDRange &gws, CLTuningInfo tuning_info);
/** Copy Constructor */
CLTuningParametersListExhaustive(const CLTuningParametersListExhaustive &) = default;
/** Move Constructor */
@@ -83,7 +89,7 @@
{
public:
/** Constructor */
- CLTuningParametersListNormal(const cl::NDRange &gws);
+ CLTuningParametersListNormal(const cl::NDRange &gws, CLTuningInfo tuning_info);
/** Copy Constructor */
CLTuningParametersListNormal(const CLTuningParametersListNormal &) = default;
/** Move Constructor */
@@ -98,11 +104,6 @@
// Inherited methods overridden:
CLTuningParams operator[](size_t) override;
-protected:
- std::vector<unsigned int> _lws_x{};
- std::vector<unsigned int> _lws_y{};
- std::vector<unsigned int> _lws_z{};
-
/** Prevent default constructor calls */
CLTuningParametersListNormal() = default;
@@ -125,7 +126,7 @@
/** Prevent default constructor calls */
CLTuningParametersListRapid() = delete;
/** Constructor */
- CLTuningParametersListRapid(const cl::NDRange &gws);
+ CLTuningParametersListRapid(const cl::NDRange &gws, CLTuningInfo tuning_info);
/** Copy Constructor */
CLTuningParametersListRapid(const CLTuningParametersListRapid &) = default;
/** Move Constructor */
@@ -156,36 +157,53 @@
{
ARM_COMPUTE_ERROR_ON(index >= size());
auto coords = index2coords(search_space_shape, index);
- return CLTuningParams(coords[0] + 1U, coords[1] + 1U, coords[2] + 1U);
+ return CLTuningParams(coords[0] + 1U, coords[1] + 1U, coords[2] + 1U, static_cast<int>(coords[3]));
}
-CLTuningParametersListExhaustive::CLTuningParametersListExhaustive(const cl::NDRange &gws)
+CLTuningParametersListExhaustive::CLTuningParametersListExhaustive(const cl::NDRange &gws, CLTuningInfo tuning_info)
{
ARM_COMPUTE_UNUSED(gws);
- search_space_shape = TensorShape(max_lws_supported_x,
- max_lws_supported_y,
- max_lws_supported_z);
+ search_space_shape[0] = max_lws_supported_x;
+ search_space_shape[1] = max_lws_supported_y;
+ search_space_shape[2] = max_lws_supported_z;
+ search_space_shape[3] = 1;
+ if(tuning_info.tune_wbsm)
+ {
+ _wbsm = { -3, -2, -1, 0, 1, 2, 3 };
+ search_space_shape[3] = _wbsm.size();
+ }
}
CLTuningParams CLTuningParametersListNormal::operator[](size_t index)
{
ARM_COMPUTE_ERROR_ON(index >= size());
auto coords = index2coords(search_space_shape, index);
- return CLTuningParams(_lws_x[coords[0]], _lws_y[coords[1]], _lws_z[coords[2]]);
+ return CLTuningParams(_lws_x[coords[0]], _lws_y[coords[1]], _lws_z[coords[2]], _wbsm[coords[3]]);
}
-CLTuningParametersListNormal::CLTuningParametersListNormal(const cl::NDRange &gws)
+CLTuningParametersListNormal::CLTuningParametersListNormal(const cl::NDRange &gws, CLTuningInfo tuning_info)
{
auto lws_x_max = std::min(static_cast<unsigned int>(gws[0]), max_lws_supported_x);
auto lws_y_max = std::min(static_cast<unsigned int>(gws[1]), max_lws_supported_y);
auto lws_z_max = std::min(static_cast<unsigned int>(gws[2]), max_lws_supported_z);
- // Initialize the LWS values to test
+ // Initialize the tuning parameters values to test
+ _lws_x = {};
+ _lws_y = {};
+ _lws_z = {};
initialize_lws_values(_lws_x, gws[0], lws_x_max, gws[2] > 16); // Explore lws that are not factors of gws only when gws[2] > 16
initialize_lws_values(_lws_y, gws[1], lws_y_max, gws[2] > 16); // Explore lws that are not factors of gws only when gws[2] > 16
initialize_lws_values(_lws_z, gws[2], lws_z_max, false);
- search_space_shape = TensorShape(_lws_x.size(), _lws_y.size(), _lws_z.size());
+ search_space_shape[0] = _lws_x.size();
+ search_space_shape[1] = _lws_y.size();
+ search_space_shape[2] = _lws_z.size();
+ search_space_shape[3] = 1;
+ if(tuning_info.tune_wbsm)
+ {
+ _wbsm = { -2, -1, 0, 1, 2 };
+ search_space_shape[3] = _wbsm.size();
+ }
}
void CLTuningParametersListNormal::initialize_lws_values(std::vector<unsigned int> &lws, unsigned int gws, unsigned int lws_max, bool mod_let_one)
@@ -207,18 +225,29 @@
}
}
-CLTuningParametersListRapid::CLTuningParametersListRapid(const cl::NDRange &gws)
+CLTuningParametersListRapid::CLTuningParametersListRapid(const cl::NDRange &gws, CLTuningInfo tuning_info)
{
auto lws_x_max = std::min(static_cast<unsigned int>(gws[0]), 8u); // Limit exploration to 1 - 8
auto lws_y_max = std::min(static_cast<unsigned int>(gws[1]), 4u); // Limit exploration to 1 - 4
auto lws_z_max = std::min(static_cast<unsigned int>(gws[2]), 4u); // Limit exploration to 1 - 4
// Initialize the LWS values to test
+ _lws_x = {};
+ _lws_y = {};
+ _lws_z = {};
initialize_lws_values(_lws_x, lws_x_max);
initialize_lws_values(_lws_y, lws_y_max);
initialize_lws_values(_lws_z, lws_z_max);
- search_space_shape = TensorShape(_lws_x.size(), _lws_y.size(), _lws_z.size());
+ search_space_shape[0] = _lws_x.size();
+ search_space_shape[1] = _lws_y.size();
+ search_space_shape[2] = _lws_z.size();
+ search_space_shape[3] = 1;
+ if(tuning_info.tune_wbsm)
+ {
+ _wbsm = { -1, 0, 1 };
+ search_space_shape[3] = _wbsm.size();
+ }
}
void CLTuningParametersListRapid::initialize_lws_values(std::vector<unsigned int> &lws, unsigned int lws_max)
@@ -231,16 +260,16 @@
}
}
-std::unique_ptr<ICLTuningParametersList> get_tuning_parameters_list(CLTunerMode mode, const cl::NDRange &gws)
+std::unique_ptr<ICLTuningParametersList> get_tuning_parameters_list(CLTuningInfo tuning_info, const cl::NDRange &gws)
{
- switch(mode)
+ switch(tuning_info.tuner_mode)
{
case CLTunerMode::EXHAUSTIVE:
- return std::make_unique<CLTuningParametersListExhaustive>(gws);
+ return std::make_unique<CLTuningParametersListExhaustive>(gws, tuning_info);
case CLTunerMode::NORMAL:
- return std::make_unique<CLTuningParametersListNormal>(gws);
+ return std::make_unique<CLTuningParametersListNormal>(gws, tuning_info);
case CLTunerMode::RAPID:
- return std::make_unique<CLTuningParametersListRapid>(gws);
+ return std::make_unique<CLTuningParametersListRapid>(gws, tuning_info);
default:
return nullptr;
}