diff options
Diffstat (limited to 'src/gpu/cl/kernels/ClDequantizeKernel.cpp')
| -rw-r--r-- | src/gpu/cl/kernels/ClDequantizeKernel.cpp | 27 |
1 files changed, 15 insertions, 12 deletions
diff --git a/src/gpu/cl/kernels/ClDequantizeKernel.cpp b/src/gpu/cl/kernels/ClDequantizeKernel.cpp index 756cd56a8b..53429ab1aa 100644 --- a/src/gpu/cl/kernels/ClDequantizeKernel.cpp +++ b/src/gpu/cl/kernels/ClDequantizeKernel.cpp @@ -34,7 +34,6 @@ #include "src/core/CL/CLValidate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" - #include "support/Cast.h" #include "support/StringSupport.h" @@ -49,9 +48,11 @@ namespace Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, + DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, + DataType::QSYMM16); - if(dst->tensor_shape().total_size() > 0) + if (dst->tensor_shape().total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(dst); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32); @@ -74,7 +75,7 @@ void ClDequantizeKernel::configure(const CLCompileContext &compile_context, ITen // Output tensor auto initialization if not yet initialized auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32); - auto padding_info = get_padding_info({ src, dst }); + auto padding_info = get_padding_info({src, dst}); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); @@ -87,7 +88,7 @@ void ClDequantizeKernel::configure(const CLCompileContext &compile_context, ITen // Create kernel CLBuildOptions build_opts; - if(!is_quantized_per_channel) + if (!is_quantized_per_channel) { const UniformQuantizationInfo qinfo = src->quantization_info().uniform(); const int qoffset = is_data_type_quantized_asymmetric(src->data_type()) ? qinfo.offset : 0; @@ -103,16 +104,18 @@ void ClDequantizeKernel::configure(const CLCompileContext &compile_context, ITen build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); build_opts.add_option("-DDATA_TYPE_SRC=" + get_cl_type_from_data_type(src->data_type())); build_opts.add_option("-DDATA_TYPE_DST=" + get_cl_type_from_data_type(dst->data_type())); - build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0))); + build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string( + std::max<int>(output_width_x - vec_size_x, 0))); // Create kernel name _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel window Window win = calculate_max_window(*dst); - if(multi_access_x) + if (multi_access_x) { - win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x)); + win.set(Window::DimX, + Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x)); } ICLKernel::configure_internal(win); @@ -136,10 +139,11 @@ void ClDequantizeKernel::run_op(ITensorPack &tensors, const Window &window, cl:: const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->info()->data_type()); // Collapse windo - Window new_window = is_quantized_per_channel ? window.collapse_if_possible(ICLKernel::window(), 4) : window.collapse_if_possible(ICLKernel::window(), 3); + Window new_window = is_quantized_per_channel ? window.collapse_if_possible(ICLKernel::window(), 4) + : window.collapse_if_possible(ICLKernel::window(), 3); Window slice = new_window.first_slice_window_3D(); - if(is_quantized_per_channel) + if (is_quantized_per_channel) { unsigned int idx = num_arguments_per_3D_tensor() * 2; //Skip the input and output parameters _kernel.setArg(idx++, src->quantization().scale->cl_buffer()); @@ -151,8 +155,7 @@ void ClDequantizeKernel::run_op(ITensorPack &tensors, const Window &window, cl:: add_3D_tensor_argument(idx, src, slice); add_3D_tensor_argument(idx, dst, slice); enqueue(queue, *this, slice, lws_hint()); - } - while(new_window.slide_window_slice_3D(slice)); + } while (new_window.slide_window_slice_3D(slice)); } } // namespace kernels } // namespace opencl |