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authorMohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com>2022-07-04 13:36:14 +0100
committerMohmun02 <MohammedSuhail.Munshi@arm.com>2022-08-03 16:57:56 +0000
commitf67903b8ab8205b47f0ee2c27aeca8bed405c58e (patch)
treef8773d534657b062b70059ee5aab623aa190c767 /src
parent13b623e575ed2f1096c70560a2db4a9e03cf22f9 (diff)
downloadComputeLibrary-f67903b8ab8205b47f0ee2c27aeca8bed405c58e.tar.gz
Add Dynamic Fusion Tests with BugFixes
- Allow fusing arbitrary number of existing elementwise operators - Fix issues with 3D and 4D tensors in Elementwise Addition and Floor components - Collapse the 3D/4D window in the same way as that used by Conv2d, i.e. collapse dim 1 and dim 2 together - Fix Floor component issues when used after other components - Add Dynamic Fusion Tests (Floor + Div, Conv2d + Add + Div) - Add Addition ElementWise Broadcasting Test Resolves: [COMPMID-5356] Change-Id: I58b93a90175bb0440d43531d18cac94b5f5c2689 Signed-off-by: Mohammed Suhail Munshi <MohammedSuhail.Munshi@arm.com> Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/433956 Tested-by: bsgcomp <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com> Comments-Addressed: bsgcomp <bsgcomp@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/7957 Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src')
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/Common.h8
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.cpp61
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h14
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp61
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h13
-rw-r--r--src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClStoreKernelComponents.cpp4
6 files changed, 130 insertions, 31 deletions
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/Common.h b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/Common.h
index 57ac70aa22..04919acb83 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/Common.h
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/Common.h
@@ -371,6 +371,7 @@ public:
{
return Window{};
}
+
/** Get the tag look-up table used to instantiate the component code.
*
* @param vtable
@@ -557,7 +558,7 @@ public:
std::string build_code()
{
- ARM_COMPUTE_ERROR_ON_MSG(_graph_root < 0, "No root found in the component graph");
+ ARM_COMPUTE_ERROR_ON_MSG(_graph_root == -1, "No root found in the component graph");
// These data structures will hold the data from all the components in the blueprint
std::set<std::string> headers_list{};
@@ -666,9 +667,10 @@ public:
return _tile_info;
}
+ // Get the global execution window, i.e. that of the root component
Window get_execution_window() const
{
- ARM_COMPUTE_ERROR_ON_MSG(_graph_root < 0, "No root found in the component graph");
+ ARM_COMPUTE_ERROR_ON_MSG(_graph_root == -1, "No root found in the component graph");
ARM_COMPUTE_ERROR_ON_MSG(_dst_id == -1, "Destination Tensor Id should be ready before calling get_execution_window()");
return _components.find(_graph_root)->second->get_window();
@@ -925,4 +927,4 @@ private:
} // namespace experimental
} // namespace arm_compute
#endif //ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_IMPL_COMMON_H
-#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */ \ No newline at end of file
+#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.cpp b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.cpp
index 24a9eee9a3..7515aec27a 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.cpp
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.cpp
@@ -24,6 +24,7 @@
#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
#include "src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h"
+#include "arm_compute/core/Error.h"
#include "arm_compute/core/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -57,9 +58,13 @@ Window ClElementwiseKernelComponent::get_window() const
auto_init_if_empty(*dst_info, out_shape, 1, lhs_info->data_type());
+ TensorShape output_shape = dst_info->tensor_shape();
+ // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) and upper dimensions unchanged
+ // This is in line with the collapsing convention used by Conv2d
+ output_shape.collapse(2U, 1U);
const unsigned int vector_size_byte_opencl = 16;
const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / dst_info->element_size(), dst_info->dimension(0));
- Window win = calculate_max_window(*dst_info, Steps(num_elems_processed_per_iteration));
+ Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
return win;
}
@@ -83,8 +88,12 @@ std::string ClElementwiseKernelComponent::get_component_code() const
TILE({{DATA_TYPE}}, M0, N0, lhs_tile);
TILE({{DATA_TYPE}}, M0, N0, rhs_tile);
+ // Since mout maps to dimensions 1 (y) and dimension 2 (z) of the input tensor because of the collapsed window, bout maps to dimension 3 (w)
+ {{lhs}}_offset_first_element_in_bytes += bout * {{lhs}}_stride_w;
+ {{rhs}}_offset_first_element_in_bytes += bout * {{rhs}}_stride_w;
+
T_LOAD({{DATA_TYPE}}, M0, N0, BUFFER, {{lhs}}, cout, mout, 1, {{lhs}}_stride_y, lhs_tile);
- T_LOAD({{DATA_TYPE}}, M0, N0, BUFFER, {{rhs}}, cout, mout, 1, {{rhs}}_stride_y, rhs_tile);
+ T_LOAD({{DATA_TYPE}}, {{rhs_m0}}, {{rhs_n0}}, BUFFER, {{rhs}}, {{rhs_start_x}}, {{rhs_start_y}}, 1, {{rhs}}_stride_y, rhs_tile);
#if defined(IS_BROADCAST)
T_ELTWISE_BROADCAST_{{ELTWISE_OP}}_X({{DATA_TYPE}}, M0, N0, lhs_tile, rhs_tile, {{dst}});
@@ -107,7 +116,7 @@ std::string ClElementwiseKernelComponent::get_component_code() const
{
TILE({{DATA_TYPE}}, M0, N0, addend_tile);
- T_LOAD({{DATA_TYPE}}, M0, N0, BUFFER, {{addend}}, cout, mout, 1, {{addend}}_stride_y, addend_tile);
+ T_LOAD({{DATA_TYPE}}, {{rhs_m0}}, {{rhs_n0}}, BUFFER, {{addend}}, {{rhs_start_x}}, {{rhs_start_y}}, 1, {{addend}}_stride_y, addend_tile);
#if defined(IS_BROADCAST)
T_ELTWISE_BROADCAST_{{ELTWISE_OP}}_X({{DATA_TYPE}}, M0, N0, {{acc}}, addend_tile, {{acc}});
@@ -122,16 +131,18 @@ std::string ClElementwiseKernelComponent::get_component_code() const
CLBuildOptions ClElementwiseKernelComponent::generate_build_options() const
{
- const auto t_src_info = _blueprint->impl().get_kernel_argument_info(_rhs.arg_id);
+ const auto t_rhs_info = _blueprint->impl().get_kernel_argument_info(_rhs.arg_id);
const auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id());
- CLBuildOptions build_opts{};
- const auto n0 = _blueprint->impl().get_execution_window().x().step();
- const auto m0 = _blueprint->impl().get_execution_window().y().step();
- const bool is_broadcast = t_src_info->tensor_shape() != t_dst_info->tensor_shape();
+ CLBuildOptions build_opts{};
+ const auto n0 = _blueprint->impl().get_execution_window().x().step();
+ const auto m0 = _blueprint->impl().get_execution_window().y().step();
+ const unsigned int partial_store_n0 = t_dst_info->dimension(0) % n0;
+ const bool is_broadcast = t_rhs_info->tensor_shape() != t_dst_info->tensor_shape();
build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
+ build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
build_opts.add_option_if(is_broadcast, "-DIS_BROADCAST");
return build_opts;
@@ -166,6 +177,7 @@ ClElementwiseKernelComponent::TagLUT ClElementwiseKernelComponent::get_tag_lut(c
{
TagLUT lut{};
const auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id());
+ const auto t_rhs_info = _blueprint->impl().get_kernel_argument_info(_rhs.arg_id);
// Arguments and global shared variables
const bool is_root = _blueprint->impl().group(_lhs.arg_id) == SharedVarGroup::Argument && _blueprint->impl().group(_rhs.arg_id) == SharedVarGroup::Argument;
if(is_root)
@@ -211,6 +223,39 @@ ClElementwiseKernelComponent::TagLUT ClElementwiseKernelComponent::get_tag_lut(c
default:
ARM_COMPUTE_ERROR("Arithmetic Operation not supported");
}
+
+ // Set broadcast parameters
+ // PRE: All tensors are broadcast-compatible
+ const bool is_broadcast = t_rhs_info->tensor_shape() != t_dst_info->tensor_shape();
+ if(is_broadcast)
+ {
+ // Note that n0 maps to input tensor dimension 0, m0 maps to input dimensions 1 and 2 because of our collapse strategy
+ if(t_rhs_info->dimension(0) == 1U && t_rhs_info->dimension(1) == 1U && t_rhs_info->dimension(2) == 1U) // Broadcast in X, Y, Z: collapsed rhs win [M0xN0] = [1x1]
+ {
+ lut["rhs_m0"] = "1";
+ lut["rhs_n0"] = "1";
+ lut["rhs_start_y"] = "0";
+ lut["rhs_start_x"] = "0";
+ }
+ else if(t_rhs_info->dimension(1) == 1U && t_rhs_info->dimension(2) == 1U) // Broadcast in Y and Z: collapsed rhs win [M0xN0] = [1xN]
+ {
+ lut["rhs_m0"] = "1";
+ lut["rhs_n0"] = "N0";
+ lut["rhs_start_y"] = "0";
+ lut["rhs_start_x"] = "cout";
+ }
+ else
+ {
+ ARM_COMPUTE_ERROR("Only support rhs broadcasting in all X, Y, Z dimensions, or just in Y and Z dimensions");
+ }
+ }
+ else
+ {
+ lut["rhs_m0"] = "M0";
+ lut["rhs_n0"] = "N0";
+ lut["rhs_start_y"] = "mout";
+ lut["rhs_start_x"] = "cout";
+ }
return lut;
}
} // namespace dynamic_fusion
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h
index 91b14ffafa..f8377457d3 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClElementwiseKernelComponent.h
@@ -37,6 +37,20 @@ namespace dynamic_fusion
class ClElementwiseKernelComponent : public IClKernelComponent
{
public:
+ /** Construct a new Cl Elementwise Kernel Component object
+ *
+ * @param[in] blueprint Blueprint to which this component is added
+ * @param[in] desc Component descriptor
+ * @param[in] lhs Link to LHS tensor
+ * @param[in] rhs Link to RHS tensor
+ * @param[out] dst Link to DST tensor
+ *
+ * Support Level
+ * Data Type: F16, F32
+ * Tensor Shape: Any shape of arbitrary dimension >= 1 and <= 4
+ * Value Range: All
+ * Broadcasting: Only RHS tensor can be broadcasted into LHS. Only support broadcasting in dimension 1 and dimension 2 or all dimension 0, 1 and 2
+ */
ClElementwiseKernelComponent(ClKernelBlueprint *blueprint, const ClElementwiseKernelDescriptor &desc, const Link &lhs, const Link &rhs, const Link &dst)
: IClKernelComponent(blueprint), _desc{ desc }, _lhs{ lhs }, _rhs{ rhs }, _dst{ dst }
{
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp
index 87cc110561..0a20a8f600 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.cpp
@@ -21,9 +21,10 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
-#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
+#ifdef ENABLE_EXPERIMENTAL_DYNAMIC_FUSION
#include "src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h"
+#include "arm_compute/core/Error.h"
#include "arm_compute/core/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
@@ -38,12 +39,10 @@ ComponentType ClFloorKernelComponent::get_component_type() const
{
return ComponentType::Simple;
}
-
std::set<std::string> ClFloorKernelComponent::get_headers_list() const
{
return std::set<std::string> { "common/experimental/gemm_fused_post_ops/fp_mixed_precision_helpers.h", "tile_helpers.h" };
}
-
Window ClFloorKernelComponent::get_window() const
{
const ITensorInfo *src_info = _blueprint->impl().get_kernel_argument_info(_src.arg_id);
@@ -52,16 +51,22 @@ Window ClFloorKernelComponent::get_window() const
ARM_COMPUTE_ERROR_ON_NULLPTR(src_info, dst_info);
auto_init_if_empty(*dst_info, src_info->tensor_shape(), 1, src_info->data_type());
+ TensorShape output_shape = dst_info->tensor_shape();
+ // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) and upper dimensions unchanged
+ // This is in line with the collapsing convention used by Conv2d
+ output_shape.collapse(2U, 1U);
const unsigned int vector_size_byte_opencl = 16;
const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / dst_info->element_size(), dst_info->dimension(0));
- Window win = calculate_max_window(*dst_info, Steps(num_elems_processed_per_iteration));
+ Window win = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
return win;
}
-
std::string ClFloorKernelComponent::get_component_code() const
{
- return R"_(
+ bool is_root = _blueprint->impl().group(_src.arg_id) == SharedVarGroup::Argument;
+ if(is_root)
+ {
+ return R"_(
//------------------ START KERNEL {{meta_kernel_id}} FLOOR ---------------------
// IN_0(src) {{src}}
// OUT(dst, accum) {{dst}}
@@ -69,30 +74,40 @@ std::string ClFloorKernelComponent::get_component_code() const
{
TILE({{DATA_TYPE}}, M0, N0, src_tile);
+ // Since mout maps to dimensions 1 (y) and dimension 2 (z) of the input tensor because of the collapsed window, bout maps to dimension 3 (w)
+ {{src}}_offset_first_element_in_bytes += bout * {{src}}_stride_w;
T_LOAD({{DATA_TYPE}}, M0, N0, BUFFER, {{src}}, cout, mout, 1, {{src}}_stride_y, src_tile);
+
T_FLOOR({{DATA_TYPE}}, M0, N0, src_tile, {{dst}});
}
-
//------------------ END KERNEL {{meta_kernel_id}} FLOOR ---------------------
)_";
+ }
+ else
+ {
+ return R"_(
+ //------------------ START KERNEL {{meta_kernel_id}} FLOOR ---------------------
+ // IN_0/Out(Accumulator) {{acc}}
+ // output = floor(input)
+ {
+ T_FLOOR({{DATA_TYPE}}, M0, N0, {{acc}}, {{acc}});
+ }
+ //------------------ END KERNEL {{meta_kernel_id}} FLOOR ---------------------
+)_";
+ }
}
-
CLBuildOptions ClFloorKernelComponent::generate_build_options() const
{
- CLBuildOptions build_opts{};
-
- const auto n0 = _blueprint->impl().get_execution_window().x().step();
- const auto m0 = _blueprint->impl().get_execution_window().y().step();
-
+ CLBuildOptions build_opts{};
+ const auto n0 = _blueprint->impl().get_execution_window().x().step();
+ const auto m0 = _blueprint->impl().get_execution_window().y().step();
const auto dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id());
const unsigned int partial_store_n0 = dst_info->dimension(0) % n0;
build_opts.add_option("-DM0=" + support::cpp11::to_string(m0));
build_opts.add_option("-DN0=" + support::cpp11::to_string(n0));
build_opts.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
-
return build_opts;
}
-
std::string ClFloorKernelComponent::generate_config_id() const
{
auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id());
@@ -106,20 +121,28 @@ std::string ClFloorKernelComponent::generate_config_id() const
config_id += lower_string(string_from_data_layout(t_dst_info->data_layout()));
return config_id;
}
-
void ClFloorKernelComponent::allocate_shared_vars(SharedVarTable &vtable) const
{
vtable.add(_src, _blueprint->impl().group(_src.arg_id), ClKernelArgDescriptor(_src.arg_id, ClKernelTensorArgType::Tensor_4D_t_Buffer), "src");
vtable.add(_dst, _blueprint->impl().group(_dst.arg_id), ClKernelArgDescriptor(_dst.arg_id, ClKernelTensorArgType::Tensor_4D_t_Buffer), "dst");
}
-
ClFloorKernelComponent::TagLUT ClFloorKernelComponent::get_tag_lut(const SharedVarTable &vtable) const
{
TagLUT lut{};
const auto t_dst_info = _blueprint->impl().get_kernel_argument_info(_blueprint->impl().get_dst_id());
// Arguments and global shared variables
- lut["src"] = vtable.get(_src);
- lut["dst"] = vtable.get(_dst);
+ const bool is_root = _blueprint->impl().group(_src.arg_id) == SharedVarGroup::Argument;
+
+ if(is_root)
+ {
+ lut["src"] = vtable.get(_src);
+ lut["dst"] = vtable.get(_dst);
+ }
+ else
+ {
+ lut["acc"] = vtable.get(_src);
+ }
+
lut["meta_kernel_id"] = id();
lut["DATA_TYPE"] = get_cl_type_from_data_type(t_dst_info->data_type());
return lut;
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h
index 5463e233d4..e791b36382 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClFloorKernelComponent.h
@@ -37,6 +37,17 @@ namespace dynamic_fusion
class ClFloorKernelComponent : public IClKernelComponent
{
public:
+ /** Construct a new Cl Floor Kernel Component object
+ *
+ * @param blueprint Blueprint to which this component is added
+ * @param src Link to SRC tensor
+ * @param dst Link to DST tensor
+ *
+ * Support Level
+ * Data Type: F16, F32
+ * Tensor Shape: Any shape of arbitrary dimension >= 1 and <= 4
+ * Value Range: All
+ */
ClFloorKernelComponent(ClKernelBlueprint *blueprint, const Link &src, const Link &dst)
: IClKernelComponent(blueprint), _src{ src }, _dst{ dst }
{
@@ -71,4 +82,4 @@ private:
} // namespace experimental
} // namespace arm_compute
#endif // ARM_COMPUTE_EXPERIMENTAL_DYNAMICFUSION_IMPL_COMPONENTS_CLFLOORKERNELCOMPONENT_H
-#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */ \ No newline at end of file
+#endif /* ENABLE_EXPERIMENTAL_DYNAMIC_FUSION */
diff --git a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClStoreKernelComponents.cpp b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClStoreKernelComponents.cpp
index 4ac27e007f..7c805d5368 100644
--- a/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClStoreKernelComponents.cpp
+++ b/src/core/experimental/dynamic_fusion/ClKernelBuildingImpl/components/ClStoreKernelComponents.cpp
@@ -108,6 +108,10 @@ std::string ClStoreIndirectWidthSelectKernelComponent::get_component_code() cons
return R"_(
//------------------ START KERNEL {{meta_kernel_id}} STORE ---------------------
{
+ // This also follows NHWC layout
+ // cout maps to global_id(0) maps to Channel
+ // mout maps to global_id(1) maps to Height and Weight (Collapsed Window)
+ // bout maps to global_id(3) maps to N / Batch
#define _IDST_WIDTH {{dst}}_w
#define _IDST_HEIGHT {{dst}}_h
TILE(uint, M0, 1, dst_indirect_y);