diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClMulKernel.cpp')
-rw-r--r-- | src/gpu/cl/kernels/ClMulKernel.cpp | 185 |
1 files changed, 113 insertions, 72 deletions
diff --git a/src/gpu/cl/kernels/ClMulKernel.cpp b/src/gpu/cl/kernels/ClMulKernel.cpp index 5ca0639852..3b59c2a7fc 100644 --- a/src/gpu/cl/kernels/ClMulKernel.cpp +++ b/src/gpu/cl/kernels/ClMulKernel.cpp @@ -23,15 +23,16 @@ */ #include "src/gpu/cl/kernels/ClMulKernel.h" -#include "arm_compute/core/utils/ActivationFunctionUtils.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/OpenCL.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" +#include "arm_compute/core/utils/ActivationFunctionUtils.h" #include "arm_compute/core/utils/helpers/AdjustVecSize.h" #include "arm_compute/core/utils/StringUtils.h" + #include "src/core/CL/CLValidate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" @@ -46,24 +47,25 @@ namespace kernels { namespace { -Status validate_arguments(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float scale, - ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info) +Status validate_arguments(const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + float scale, + ConvertPolicy overflow_policy, + RoundingPolicy rounding_policy, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_UNUSED(overflow_policy); ARM_COMPUTE_UNUSED(rounding_policy); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src1, src2, dst); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src1); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src1, - 1, - DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, DataType::S32, - DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src2, - 1, - DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, DataType::S32, - DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src1, 1, DataType::U8, DataType::QASYMM8, + DataType::QASYMM8_SIGNED, DataType::S16, DataType::QSYMM16, + DataType::F16, DataType::S32, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src2, 1, DataType::U8, DataType::QASYMM8, + DataType::QASYMM8_SIGNED, DataType::S16, DataType::QSYMM16, + DataType::F16, DataType::S32, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MSG(scale < 0, "Scale cannot be negative."); ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled() && !is_data_type_float(dst->data_type())); @@ -76,27 +78,35 @@ Status validate_arguments(const ITensorInfo *src1, const ITensorInfo *src2, cons ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible"); // Validate in case of configured dst - if(dst->total_size() > 0) + if (dst->total_size() > 0) { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, - 1, - DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, - DataType::S16, DataType::QSYMM16, DataType::F16, - DataType::S32, DataType::F32); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::U8 && (src1->data_type() != DataType::U8 || src2->data_type() != DataType::U8), + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::U8, DataType::QASYMM8, + DataType::QASYMM8_SIGNED, DataType::S16, DataType::QSYMM16, + DataType::F16, DataType::S32, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::U8 && + (src1->data_type() != DataType::U8 || src2->data_type() != DataType::U8), "Dst can only be U8 if both src are U8"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::QASYMM8 && (src1->data_type() != DataType::QASYMM8 || src2->data_type() != DataType::QASYMM8), - "Dst can only be QASYMM8 if both src are QASYMM8"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::QASYMM8_SIGNED && (src1->data_type() != DataType::QASYMM8_SIGNED || src2->data_type() != DataType::QASYMM8_SIGNED), - "Dst can only be QASYMM8_SIGNED if both src are QASYMM8_SIGNED"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(dst->data_type() == DataType::QSYMM16 && (src1->data_type() != DataType::QSYMM16 || src2->data_type() != DataType::QSYMM16), - "Dst can only be QSYMM16 if both src are QSYMM16"); - ARM_COMPUTE_RETURN_ERROR_ON_MSG((src1->data_type() == DataType::S32 || src2->data_type() == DataType::S32) && (dst->data_type() != DataType::S32), + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + dst->data_type() == DataType::QASYMM8 && + (src1->data_type() != DataType::QASYMM8 || src2->data_type() != DataType::QASYMM8), + "Dst can only be QASYMM8 if both src are QASYMM8"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + dst->data_type() == DataType::QASYMM8_SIGNED && + (src1->data_type() != DataType::QASYMM8_SIGNED || src2->data_type() != DataType::QASYMM8_SIGNED), + "Dst can only be QASYMM8_SIGNED if both src are QASYMM8_SIGNED"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + dst->data_type() == DataType::QSYMM16 && + (src1->data_type() != DataType::QSYMM16 || src2->data_type() != DataType::QSYMM16), + "Dst can only be QSYMM16 if both src are QSYMM16"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG((src1->data_type() == DataType::S32 || src2->data_type() == DataType::S32) && + (dst->data_type() != DataType::S32), "Dst must be S32 if source tensors are S32"); - if(in_place) + if (in_place) { - ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, src1_in_place ? src1->tensor_shape() : src2->tensor_shape(), 0), - "Wrong shape for dst, cannot do in_place calculation"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG( + detail::have_different_dimensions(out_shape, + src1_in_place ? src1->tensor_shape() : src2->tensor_shape(), 0), + "Wrong shape for dst, cannot do in_place calculation"); } else { @@ -114,14 +124,19 @@ ClMulKernel::ClMulKernel() _type = CLKernelType::ELEMENTWISE; } -void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float scale, - ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info) +void ClMulKernel::configure(const CLCompileContext &compile_context, + ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst, + float scale, + ConvertPolicy overflow_policy, + RoundingPolicy rounding_policy, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src1, src2, dst, - scale, overflow_policy, rounding_policy, act_info)); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src1, src2, dst, scale, overflow_policy, rounding_policy, act_info)); - auto padding_info = get_padding_info({ src1, src2, dst }); + auto padding_info = get_padding_info({src1, src2, dst}); const TensorShape &out_shape = TensorShape::broadcast_shape(src1->tensor_shape(), src2->tensor_shape()); auto_init_if_empty(*dst, src1->clone()->set_tensor_shape(out_shape)); @@ -133,7 +148,7 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo // Use int scaling if factor is equal to 1/2^n for 0 <= n <= 15 // frexp returns 0.5 as mantissa which means that the exponent will be in the range of -1 <= e <= 14 // Moreover, it will be negative as we deal with 1/2^n - if((normalized_mantissa == 0.5f) && (-14 <= exponent) && (exponent <= 1)) + if ((normalized_mantissa == 0.5f) && (-14 <= exponent) && (exponent <= 1)) { // Store the positive exponent. We know that we compute 1/2^n // Additionally we need to subtract 1 to compensate that frexp used a mantissa of 0.5 @@ -142,19 +157,19 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo std::string acc_type; // Check if it has float src and dst - if(is_data_type_float(src1->data_type()) || is_data_type_float(src2->data_type())) + if (is_data_type_float(src1->data_type()) || is_data_type_float(src2->data_type())) { scale_int = -1; acc_type = (src1->data_type() == DataType::F32 || src2->data_type() == DataType::F32) ? "float" : "half"; } else { - if(src1->element_size() == 4 || src2->element_size() == 4) + if (src1->element_size() == 4 || src2->element_size() == 4) { // use 64 bit accumulator for 32-bit input acc_type = "long"; } - else if(src1->element_size() == 2 || src2->element_size() == 2) + else if (src1->element_size() == 2 || src2->element_size() == 2) { // Use 32-bit accumulator for 16-bit input acc_type = "int"; @@ -176,11 +191,15 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo build_opts.add_option("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(src1->data_type())); build_opts.add_option("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(src2->data_type())); build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(dst->data_type())); - build_opts.add_option("-DVEC_SIZE_IN1=" + ((dst->dimension(0) != 1 && src1->dimension(0) == 1) ? "1" : support::cpp11::to_string(vec_size))); - build_opts.add_option("-DVEC_SIZE_IN2=" + ((dst->dimension(0) != 1 && src2->dimension(0) == 1) ? "1" : support::cpp11::to_string(vec_size))); + build_opts.add_option("-DVEC_SIZE_IN1=" + ((dst->dimension(0) != 1 && src1->dimension(0) == 1) + ? "1" + : support::cpp11::to_string(vec_size))); + build_opts.add_option("-DVEC_SIZE_IN2=" + ((dst->dimension(0) != 1 && src2->dimension(0) == 1) + ? "1" + : support::cpp11::to_string(vec_size))); build_opts.add_option("-DVEC_SIZE_OUT=" + support::cpp11::to_string(vec_size)); build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_leftover)); - if(is_quantized && (dst->data_type() != DataType::S32)) + if (is_quantized && (dst->data_type() != DataType::S32)) { const UniformQuantizationInfo iq1_info = src1->quantization_info().uniform(); const UniformQuantizationInfo iq2_info = src2->quantization_info().uniform(); @@ -200,12 +219,14 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo else { kernel_name += (scale_int >= 0) ? "_int" : "_float"; - build_opts.add_option_if_else(overflow_policy == ConvertPolicy::WRAP || is_data_type_float(dst->data_type()), "-DWRAP", "-DSATURATE"); + build_opts.add_option_if_else(overflow_policy == ConvertPolicy::WRAP || is_data_type_float(dst->data_type()), + "-DWRAP", "-DSATURATE"); build_opts.add_option_if_else(rounding_policy == RoundingPolicy::TO_ZERO, "-DROUND=_rtz", "-DROUND=_rte"); build_opts.add_option("-DACC_DATA_TYPE=" + acc_type); - if(act_info.enabled()) + if (act_info.enabled()) { - build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation()))); + build_opts.add_option("-DACTIVATION_TYPE=" + + lower_string(string_from_activation_func(act_info.activation()))); build_opts.add_option("-DA_VAL=" + float_to_string_with_full_precision(act_info.a())); build_opts.add_option("-DB_VAL=" + float_to_string_with_full_precision(act_info.b())); } @@ -223,7 +244,7 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo // Set scale argument unsigned int idx = (in_place ? 2 : 3) * num_arguments_per_3D_tensor(); // Skip the src and dst parameters - if(scale_int >= 0 && !is_quantized) + if (scale_int >= 0 && !is_quantized) { _kernel.setArg(idx++, scale_int); } @@ -261,8 +282,13 @@ void ClMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo _config_id += support::cpp11::to_string(dst->dimension(2)); } -Status ClMulKernel::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float scale, - ConvertPolicy overflow_policy, RoundingPolicy rounding_policy, const ActivationLayerInfo &act_info) +Status ClMulKernel::validate(const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + float scale, + ConvertPolicy overflow_policy, + RoundingPolicy rounding_policy, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src1, src2, dst, scale, overflow_policy, rounding_policy, act_info)); @@ -275,9 +301,11 @@ void ClMulKernel::run_op(ITensorPack &tensors, const Window &window, cl::Command ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - const auto src_0 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); - const auto src_1 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); - auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + const auto src_0 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); + const auto src_1 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); + auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); ARM_COMPUTE_ERROR_ON_NULLPTR(src_0, src_1, dst); @@ -286,17 +314,18 @@ void ClMulKernel::run_op(ITensorPack &tensors, const Window &window, cl::Command const TensorShape &out_shape = dst->info()->tensor_shape(); bool can_collapse = true; - if(std::min(in_shape1.total_size(), in_shape2.total_size()) > 1) + if (std::min(in_shape1.total_size(), in_shape2.total_size()) > 1) { can_collapse = (std::min(in_shape1.num_dimensions(), in_shape2.num_dimensions()) > Window::DimZ); - for(size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); ++d) + for (size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); ++d) { can_collapse = (in_shape1[d] == in_shape2[d]); } } bool has_collapsed = false; - Window collapsed = can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; + Window collapsed = + can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; const TensorShape &in_shape1_collapsed = has_collapsed ? in_shape1.collapsed_from(Window::DimZ) : in_shape1; const TensorShape &in_shape2_collapsed = has_collapsed ? in_shape2.collapsed_from(Window::DimZ) : in_shape2; @@ -312,7 +341,7 @@ void ClMulKernel::run_op(ITensorPack &tensors, const Window &window, cl::Command unsigned int idx = 0; add_3D_tensor_argument(idx, src_0, slice_input1); add_3D_tensor_argument(idx, src_1, slice_input2); - if(!in_place) + if (!in_place) { add_3D_tensor_argument(idx, dst, slice); } @@ -320,15 +349,17 @@ void ClMulKernel::run_op(ITensorPack &tensors, const Window &window, cl::Command ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_input1)); ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_input2)); - } - while(collapsed.slide_window_slice_3D(slice)); + } while (collapsed.slide_window_slice_3D(slice)); } namespace { constexpr unsigned int vec_size_complex = 1; -Status validate_arguments_complex(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info) +Status validate_arguments_complex(const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src1, 2, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src2, 2, DataType::F16, DataType::F32); @@ -340,11 +371,12 @@ Status validate_arguments_complex(const ITensorInfo *src1, const ITensorInfo *sr ARM_COMPUTE_RETURN_ERROR_ON(act_info.enabled() && !is_data_type_float(dst->data_type())); // Validate in case of configured dst - if(dst->total_size() > 0) + if (dst->total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 2, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src1, dst); - ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst->tensor_shape(), 0), "Wrong shape for dst"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst->tensor_shape(), 0), + "Wrong shape for dst"); } return Status{}; @@ -356,19 +388,23 @@ ClComplexMulKernel::ClComplexMulKernel() _type = CLKernelType::ELEMENTWISE; } -void ClComplexMulKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, const ActivationLayerInfo &act_info) +void ClComplexMulKernel::configure(const CLCompileContext &compile_context, + ITensorInfo *src1, + ITensorInfo *src2, + ITensorInfo *dst, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments_complex(src1, src2, dst, act_info)); - auto padding_info = get_padding_info({ src1, src2, dst }); + auto padding_info = get_padding_info({src1, src2, dst}); const TensorShape &out_shape = TensorShape::broadcast_shape(src1->tensor_shape(), src2->tensor_shape()); auto_init_if_empty(*dst, src1->clone()->set_tensor_shape(out_shape)); CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(dst->data_type())); - if(act_info.enabled()) + if (act_info.enabled()) { build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation()))); build_opts.add_option("-DA_VAL=" + float_to_string_with_full_precision(act_info.a())); @@ -384,7 +420,10 @@ void ClComplexMulKernel::configure(const CLCompileContext &compile_context, ITen ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); } -Status ClComplexMulKernel::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const ActivationLayerInfo &act_info) +Status ClComplexMulKernel::validate(const ITensorInfo *src1, + const ITensorInfo *src2, + const ITensorInfo *dst, + const ActivationLayerInfo &act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src1, src2, dst); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_complex(src1, src2, dst, act_info)); @@ -397,26 +436,29 @@ void ClComplexMulKernel::run_op(ITensorPack &tensors, const Window &window, cl:: ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - const auto src_0 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); - const auto src_1 = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); - auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); + const auto src_0 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0)); + const auto src_1 = + utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1)); + auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); const TensorShape &in_shape1 = src_0->info()->tensor_shape(); const TensorShape &in_shape2 = src_1->info()->tensor_shape(); const TensorShape &out_shape = dst->info()->tensor_shape(); bool can_collapse = true; - if(std::min(in_shape1.total_size(), in_shape2.total_size()) > 1) + if (std::min(in_shape1.total_size(), in_shape2.total_size()) > 1) { can_collapse = (std::min(in_shape1.num_dimensions(), in_shape2.num_dimensions()) > Window::DimZ); - for(size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); ++d) + for (size_t d = Window::DimZ; can_collapse && (d < out_shape.num_dimensions()); ++d) { can_collapse = (in_shape1[d] == in_shape2[d]); } } bool has_collapsed = false; - Window collapsed = can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; + Window collapsed = + can_collapse ? window.collapse_if_possible(ICLKernel::window(), Window::DimZ, &has_collapsed) : window; const TensorShape &in_shape1_collapsed = has_collapsed ? in_shape1.collapsed_from(Window::DimZ) : in_shape1; const TensorShape &in_shape2_collapsed = has_collapsed ? in_shape2.collapsed_from(Window::DimZ) : in_shape2; @@ -435,8 +477,7 @@ void ClComplexMulKernel::run_op(ITensorPack &tensors, const Window &window, cl:: ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_input1)); ARM_COMPUTE_UNUSED(collapsed.slide_window_slice_3D(slice_input2)); - } - while(collapsed.slide_window_slice_3D(slice)); + } while (collapsed.slide_window_slice_3D(slice)); } } // namespace kernels } // namespace opencl |