diff options
author | Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-27 17:46:17 +0100 |
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committer | felixjohnny.thomasmathibalan <felixjohnny.thomasmathibalan@arm.com> | 2023-09-28 12:08:05 +0000 |
commit | afd38f0c617d6f89b2b4532c6c44f116617e2b6f (patch) | |
tree | 03bc7d5a762099989b16a656fa8d397b490ed70e /src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp | |
parent | bdcb4c148ee2fdeaaddf4cf1e57bbb0de02bb894 (diff) | |
download | ComputeLibrary-afd38f0c617d6f89b2b4532c6c44f116617e2b6f.tar.gz |
Apply clang-format on repository
Code is formatted as per a revised clang format configuration
file(not part of this delivery). Version 14.0.6 is used.
Exclusion List:
- files with .cl extension
- files that are not strictly C/C++ (e.g. Android.bp, Sconscript ...)
And the following directories
- compute_kernel_writer/validation/
- tests/
- include/
- src/core/NEON/kernels/convolution/
- src/core/NEON/kernels/arm_gemm/
- src/core/NEON/kernels/arm_conv/
- data/
There will be a follow up for formatting of .cl files and the
files under tests/ and compute_kernel_writer/validation/.
Signed-off-by: Felix Thomasmathibalan <felixjohnny.thomasmathibalan@arm.com>
Change-Id: Ib7eb1fcf4e7537b9feaefcfc15098a804a3fde0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10391
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp | 47 |
1 files changed, 34 insertions, 13 deletions
diff --git a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp index bd573e54c8..731fcb8e04 100644 --- a/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp +++ b/src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.cpp @@ -22,10 +22,12 @@ * SOFTWARE. */ #include "src/core/CL/kernels/CLQLSTMLayerNormalizationKernel.h" + #include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/core/Utils.h" +#include "arm_compute/core/utils/quantization/AsymmHelpers.h" #include "arm_compute/core/utils/StringUtils.h" + #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include "support/StringSupport.h" @@ -49,14 +51,19 @@ std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITen const uint32_t temp_num_elems_processed_per_iteration = max_cl_vector_width / input->element_size(); /* If width is less then step, then make step same as width to avoid global size being step instead of actual width. */ /* Or we should fix in arm_compute::enqueue() or arm_compute::calculate_max_window(). */ - const uint32_t num_elems_processed_per_iteration = (input->dimension(0) < temp_num_elems_processed_per_iteration) ? input->dimension(0) : temp_num_elems_processed_per_iteration; + const uint32_t num_elems_processed_per_iteration = (input->dimension(0) < temp_num_elems_processed_per_iteration) + ? input->dimension(0) + : temp_num_elems_processed_per_iteration; // This kernel doesn't need padding Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); return std::make_pair(Status{}, win); } -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias) +Status validate_arguments(const ITensorInfo *input, + const ITensorInfo *output, + const ITensorInfo *weight, + const ITensorInfo *bias) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, weight, bias, output); @@ -72,7 +79,7 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, c ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(weight, bias); // Checks performed when output is configured - if(output->total_size() != 0) + if (output->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); @@ -87,10 +94,14 @@ CLQLSTMLayerNormalizationKernel::CLQLSTMLayerNormalizationKernel() _type = CLKernelType::ELEMENTWISE; } -void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias) +void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_context, + const ICLTensor *input, + ICLTensor *output, + const ICLTensor *weight, + const ICLTensor *bias) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, weight, bias, output); - auto padding_info = get_padding_info({ input, weight, bias, output }); + auto padding_info = get_padding_info({input, weight, bias, output}); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), weight->info(), bias->info())); @@ -104,7 +115,8 @@ void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_ int32_t output_multiplier{}; int32_t output_shift{}; const UniformQuantizationInfo quan_info = _weight->info()->quantization_info().uniform(); - const Status status = quantization::calculate_quantized_multiplier(quan_info.scale, &output_multiplier, &output_shift); + const Status status = + quantization::calculate_quantized_multiplier(quan_info.scale, &output_multiplier, &output_shift); output_shift *= -1; // Set build options @@ -114,8 +126,12 @@ void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_ build_opts.add_option("-DWIDTH=" + support::cpp11::to_string(input->info()->dimension(0))); build_opts.add_option("-DOUTPUT_MULTIPLIER=" + support::cpp11::to_string(output_multiplier)); build_opts.add_option("-DOUTPUT_SHIFT=" + support::cpp11::to_string(output_shift)); - build_opts.add_option("-DMIN_BOUND=" + support::cpp11::to_string(std::get<0>(quantization::get_min_max_values_from_quantized_data_type(input->info()->data_type())))); - build_opts.add_option("-DMAX_BOUND=" + support::cpp11::to_string(std::get<1>(quantization::get_min_max_values_from_quantized_data_type(input->info()->data_type())))); + build_opts.add_option("-DMIN_BOUND=" + + support::cpp11::to_string(std::get<0>( + quantization::get_min_max_values_from_quantized_data_type(input->info()->data_type())))); + build_opts.add_option("-DMAX_BOUND=" + + support::cpp11::to_string(std::get<1>( + quantization::get_min_max_values_from_quantized_data_type(input->info()->data_type())))); // Create kernel _kernel = create_kernel(compile_context, "qlstm_layer_normalization", build_opts.options()); @@ -135,12 +151,18 @@ void CLQLSTMLayerNormalizationKernel::configure(const CLCompileContext &compile_ ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); } -void CLQLSTMLayerNormalizationKernel::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *weight, const ICLTensor *bias) +void CLQLSTMLayerNormalizationKernel::configure(const ICLTensor *input, + ICLTensor *output, + const ICLTensor *weight, + const ICLTensor *bias) { configure(CLKernelLibrary::get().get_compile_context(), input, output, weight, bias); } -Status CLQLSTMLayerNormalizationKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *weight, const ITensorInfo *bias) +Status CLQLSTMLayerNormalizationKernel::validate(const ITensorInfo *input, + const ITensorInfo *output, + const ITensorInfo *weight, + const ITensorInfo *bias) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, weight, bias)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first); @@ -171,7 +193,6 @@ void CLQLSTMLayerNormalizationKernel::run(const Window &window, cl::CommandQueue add_2D_tensor_argument(idx, _output, slice); enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_2D(slice)); + } while (window.slide_window_slice_2D(slice)); } } // namespace arm_compute |