diff options
Diffstat (limited to 'src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp')
| -rw-r--r-- | src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp | 297 |
1 files changed, 126 insertions, 171 deletions
diff --git a/src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp b/src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp index 2a8b155d14..c0515f2abc 100644 --- a/src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp +++ b/src/cpu/kernels/elementwise_binary/generic/sve/impl.cpp @@ -32,81 +32,117 @@ namespace cpu { using namespace arm_compute::wrapper; -template <typename InputScalarType, typename OutputScalarType, typename OperatorType> -struct LoopArguments +template <typename ScalarType> +void elementwise_arithmetic_op(const ITensor *in1, const ITensor *in2, ITensor *out, ArithmeticOperation op, const Window &window) { - OperatorType op; - const InputScalarType *input1_ptr; - const InputScalarType *input2_ptr; - OutputScalarType *output_ptr; -}; - -template <typename InputScalarType, typename OutputScalarType, typename OperatorType> -struct BroadcastLoopArguments -{ - OperatorType op; - const InputScalarType *input1_ptr; - InputScalarType broadcast_value; - OutputScalarType *output_ptr; - bool reorder; -}; + using VectorType = typename sve_vector<ScalarType>::type; -template <typename InputScalarType, typename OutputScalarType> -void arithmetic_op_loop(svbool_t pg, const LoopArguments<InputScalarType, OutputScalarType, ArithmeticOperation> &args) -{ - const auto in1 = svld1(pg, args.input1_ptr); - const auto in2 = svld1(pg, args.input2_ptr); - const auto res = elementwise_arithmetic_op<typename sve_vector<InputScalarType>::type>(pg, in1, in2, args.op); - svst1(pg, args.output_ptr, res); -} + const auto all_true_pg = svptrue<ScalarType>(); -template <typename InputScalarType, typename OutputScalarType> -void arithmetic_op_broadcast_loop(svbool_t pg, const BroadcastLoopArguments<InputScalarType, OutputScalarType, ArithmeticOperation> &args) -{ - const auto non_broadcast_vector = svld1(pg, args.input1_ptr); - const auto broadcast_vector = svdup_n(args.broadcast_value); - const auto in1 = args.reorder ? broadcast_vector : non_broadcast_vector; - const auto in2 = args.reorder ? non_broadcast_vector : broadcast_vector; - const auto res = elementwise_arithmetic_op<typename sve_vector<InputScalarType>::type>(pg, in1, in2, args.op); - svst1(pg, args.output_ptr, res); -} + // Create input windows + Window input1_win = window.broadcast_if_dimension_le_one(in1->info()->tensor_shape()); + Window input2_win = window.broadcast_if_dimension_le_one(in2->info()->tensor_shape()); -template <typename InputScalarType, typename OutputScalarType> -void comparison_op_loop(svbool_t pg, const LoopArguments<InputScalarType, OutputScalarType, ComparisonOperation> &args) -{ - const auto in1 = svld1(pg, args.input1_ptr); - const auto in2 = svld1(pg, args.input2_ptr); - const auto res = elementwise_comparison_op<typename sve_vector<InputScalarType>::type, typename sve_vector<OutputScalarType>::type>(pg, in1, in2, args.op); - const svbool_t output_pg = narrow_to_byte_predicate<sizeof(InputScalarType)>(pg); - svst1(output_pg, args.output_ptr, res); -} + // Clear X Dimension on execution window as we handle manually + Window win = window; + win.set(Window::DimX, Window::Dimension(0, 1, 1)); -template <typename InputScalarType, typename OutputScalarType> -void comparison_op_broadcast_loop(svbool_t pg, const BroadcastLoopArguments<InputScalarType, OutputScalarType, ComparisonOperation> &args) -{ - const auto non_broadcast_vector = svld1(pg, args.input1_ptr); - const auto broadcast_vector = svdup_n(args.broadcast_value); - const auto in1 = args.reorder ? broadcast_vector : non_broadcast_vector; - const auto in2 = args.reorder ? non_broadcast_vector : broadcast_vector; - const auto res = elementwise_comparison_op<typename sve_vector<InputScalarType>::type, typename sve_vector<OutputScalarType>::type>(pg, in1, in2, args.op); - const svbool_t output_pg = narrow_to_byte_predicate<sizeof(InputScalarType)>(pg); - svst1(output_pg, args.output_ptr, res); -} + const auto window_start_x = static_cast<int>(window.x().start()); + const auto window_end_x = static_cast<int>(window.x().end()); + const bool is_broadcast_across_x = in1->info()->tensor_shape().x() != in2->info()->tensor_shape().x(); + + if(is_broadcast_across_x) + { + const bool is_broadcast_input_2 = input2_win.x().step() == 0; + Window broadcast_win = is_broadcast_input_2 ? input2_win : input1_win; + Window non_broadcast_win = !is_broadcast_input_2 ? input2_win : input1_win; + const ITensor *broadcast_tensor = is_broadcast_input_2 ? in2 : in1; + const ITensor *non_broadcast_tensor = !is_broadcast_input_2 ? in2 : in1; + + // Clear X Dimension on execution window as we handle manually + non_broadcast_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator broadcast_input(broadcast_tensor, broadcast_win); + Iterator non_broadcast_input(non_broadcast_tensor, non_broadcast_win); + Iterator output(out, win); + + execute_window_loop(win, [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + const auto non_broadcast_input_ptr = reinterpret_cast<const ScalarType *>(non_broadcast_input.ptr()); + const ScalarType broadcast_value = *reinterpret_cast<const ScalarType *>(broadcast_input.ptr()); + const auto broadcast_vector = svdup_n(broadcast_value); + + int x = window_start_x; -template <typename InputScalarType, typename OutputScalarType, typename OperatorType> -using LoopFuncType = void (*)(svbool_t, const LoopArguments<InputScalarType, OutputScalarType, OperatorType> &); + svbool_t pg = svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto non_broadcast_vector = svld1(pg, non_broadcast_input_ptr + x); + VectorType res{}; -template <typename InputScalarType, typename OutputScalarType, typename OperatorType> -using BroadcastLoopFuncType = void (*)(svbool_t, const BroadcastLoopArguments<InputScalarType, OutputScalarType, OperatorType> &); + if(is_broadcast_input_2) + { + res = elementwise_arithmetic_op<typename sve_vector<ScalarType>::type>(pg, non_broadcast_vector, broadcast_vector, op); + } + else + { + res = elementwise_arithmetic_op<typename sve_vector<ScalarType>::type>(pg, broadcast_vector, non_broadcast_vector, op); + } + svst1(pg, output_ptr + x, res); -template <typename InputVectorType, typename OutputVectorType, typename OperatorType, - typename InputScalarType = typename sve_scalar<InputVectorType>::type, - typename OutputScalarType = typename sve_scalar<OutputVectorType>::type> -void elementwise_op(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window, - OperatorType op, - LoopFuncType<InputScalarType, OutputScalarType, OperatorType> func, - BroadcastLoopFuncType<InputScalarType, OutputScalarType, OperatorType> broadcast_func) + x += svcnt<ScalarType>(); + pg = svwhilelt<ScalarType>(x, window_end_x); + } + while(svptest_any(all_true_pg, pg)); + }, + broadcast_input, non_broadcast_input, output); + } + else + { + // Clear X Dimension on execution window as we handle manually + input1_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + input2_win.set(Window::DimX, Window::Dimension(0, 1, 1)); + + Iterator input1(in1, input1_win); + Iterator input2(in2, input2_win); + Iterator output(out, win); + + execute_window_loop(win, [&](const Coordinates &) + { + auto output_ptr = reinterpret_cast<ScalarType *>(output.ptr()); + const auto input1_ptr = reinterpret_cast<const ScalarType *>(input1.ptr()); + const auto input2_ptr = reinterpret_cast<const ScalarType *>(input2.ptr()); + + int x = window_start_x; + + svbool_t pg = svwhilelt<ScalarType>(x, window_end_x); + do + { + const auto in1 = svld1(pg, input1_ptr + x); + const auto in2 = svld1(pg, input2_ptr + x); + const auto res = elementwise_arithmetic_op<typename sve_vector<ScalarType>::type>(pg, in1, in2, op); + svst1(pg, output_ptr + x, res); + + x += svcnt<ScalarType>(); + pg = svwhilelt<ScalarType>(x, window_end_x); + } + while(svptest_any(all_true_pg, pg)); + }, + input1, input2, output); + } +} +template void elementwise_arithmetic_op<float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ArithmeticOperation op, const Window &window); +template void elementwise_arithmetic_op<float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ArithmeticOperation op, const Window &window); +template void elementwise_arithmetic_op<int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ArithmeticOperation op, const Window &window); +template void elementwise_arithmetic_op<int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ArithmeticOperation op, const Window &window); + +template <typename InputScalarType, typename OutputScalarType> +void elementwise_comparison_op(const ITensor *in1, const ITensor *in2, ITensor *out, ComparisonOperation op, const Window &window) { + static_assert(sizeof(InputScalarType) >= sizeof(OutputScalarType), "input data type's width should be equal to or greater than output data type's width"); + + using OutputVectorType = typename sve_vector<OutputScalarType>::type; const auto all_true_pg = svptrue<InputScalarType>(); // Create input windows @@ -141,20 +177,26 @@ void elementwise_op(const ITensor *in1, const ITensor *in2, ITensor *out, const auto output_ptr = reinterpret_cast<OutputScalarType *>(output.ptr()); const auto non_broadcast_input_ptr = reinterpret_cast<const InputScalarType *>(non_broadcast_input.ptr()); const InputScalarType broadcast_value = *reinterpret_cast<const InputScalarType *>(broadcast_input.ptr()); + const auto broadcast_vector = svdup_n(broadcast_value); int x = window_start_x; svbool_t pg = svwhilelt<InputScalarType>(x, window_end_x); do { - broadcast_func(pg, + const auto non_broadcast_vector = svld1(pg, non_broadcast_input_ptr + x); + const svbool_t output_pg = narrow_to_byte_predicate<sizeof(InputScalarType)>(pg); + OutputVectorType res{}; + if(is_broadcast_input_2) { - op, - non_broadcast_input_ptr + x, - broadcast_value, - output_ptr + x, - !is_broadcast_input_2 - }); + res = elementwise_comparison_op<typename sve_vector<InputScalarType>::type, typename sve_vector<OutputScalarType>::type>(pg, non_broadcast_vector, broadcast_vector, op); + } + else + { + res = elementwise_comparison_op<typename sve_vector<InputScalarType>::type, typename sve_vector<OutputScalarType>::type>(pg, broadcast_vector, non_broadcast_vector, op); + } + svst1(output_pg, output_ptr + x, res); + x += svcnt<InputScalarType>(); pg = svwhilelt<InputScalarType>(x, window_end_x); } @@ -183,13 +225,12 @@ void elementwise_op(const ITensor *in1, const ITensor *in2, ITensor *out, const svbool_t pg = svwhilelt<InputScalarType>(x, window_end_x); do { - func(pg, - { - op, - input1_ptr + x, - input2_ptr + x, - output_ptr + x - }); + const auto in1 = svld1(pg, input1_ptr + x); + const auto in2 = svld1(pg, input2_ptr + x); + const auto res = elementwise_comparison_op<typename sve_vector<InputScalarType>::type, typename sve_vector<OutputScalarType>::type>(pg, in1, in2, op); + const svbool_t output_pg = narrow_to_byte_predicate<sizeof(InputScalarType)>(pg); + svst1(output_pg, output_ptr + x, res); + x += svcnt<InputScalarType>(); pg = svwhilelt<InputScalarType>(x, window_end_x); } @@ -199,97 +240,11 @@ void elementwise_op(const ITensor *in1, const ITensor *in2, ITensor *out, const } } -template <ArithmeticOperation op, typename ScalarType> -void elementwise_arithmetic_op(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - using VectorType = typename sve_vector<ScalarType>::type; - - elementwise_op<VectorType, VectorType, ArithmeticOperation>(in1, in2, out, window, op, - &arithmetic_op_loop<ScalarType, ScalarType>, - &arithmetic_op_broadcast_loop<ScalarType, ScalarType>); -} -template void elementwise_arithmetic_op<ArithmeticOperation::ADD, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SUB, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::DIV, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MIN, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MAX, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SQUARED_DIFF, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::POWER, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::PRELU, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_arithmetic_op<ArithmeticOperation::ADD, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SUB, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::DIV, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MIN, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MAX, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SQUARED_DIFF, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::POWER, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::PRELU, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_arithmetic_op<ArithmeticOperation::ADD, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SUB, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::DIV, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MIN, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MAX, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SQUARED_DIFF, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::POWER, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::PRELU, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_arithmetic_op<ArithmeticOperation::ADD, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SUB, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::DIV, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MIN, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::MAX, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::SQUARED_DIFF, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::POWER, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_arithmetic_op<ArithmeticOperation::PRELU, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template <ComparisonOperation op, typename InputScalarType, typename OutputScalarType> -void elementwise_comparison_op(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window) -{ - static_assert(sizeof(InputScalarType) >= sizeof(OutputScalarType), "input data type's width should be equal to or greater than output data type's width"); - using InputVectorType = typename sve_vector<InputScalarType>::type; - using OutputVectorType = typename sve_vector<OutputScalarType>::type; - - elementwise_op<InputVectorType, OutputVectorType, ComparisonOperation>(in1, in2, out, window, op, - &comparison_op_loop<InputScalarType, OutputScalarType>, - &comparison_op_broadcast_loop<InputScalarType, OutputScalarType>); -} - -template void elementwise_comparison_op<ComparisonOperation::Equal, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::NotEqual, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Greater, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::GreaterEqual, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Less, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::LessEqual, float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_comparison_op<ComparisonOperation::Equal, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::NotEqual, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Greater, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::GreaterEqual, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Less, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::LessEqual, float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_comparison_op<ComparisonOperation::Equal, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::NotEqual, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Greater, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::GreaterEqual, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Less, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::LessEqual, uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_comparison_op<ComparisonOperation::Equal, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::NotEqual, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Greater, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::GreaterEqual, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Less, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::LessEqual, int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); - -template void elementwise_comparison_op<ComparisonOperation::Equal, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::NotEqual, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Greater, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::GreaterEqual, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::Less, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); -template void elementwise_comparison_op<ComparisonOperation::LessEqual, int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const Window &window); +template void elementwise_comparison_op<float32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ComparisonOperation op, const Window &window); +template void elementwise_comparison_op<float16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ComparisonOperation op, const Window &window); +template void elementwise_comparison_op<uint8_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ComparisonOperation op, const Window &window); +template void elementwise_comparison_op<int16_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ComparisonOperation op, const Window &window); +template void elementwise_comparison_op<int32_t>(const ITensor *in1, const ITensor *in2, ITensor *out, const ComparisonOperation op, const Window &window); template <> svint32_t elementwise_pow<svint32_t>(svbool_t &pg, const svint32_t &a, const svint32_t &b) |