diff options
author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-08-02 12:02:48 +0100 |
---|---|---|
committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 6b4e604aa2f8598bce37abe76654b87a41ababb7 (patch) | |
tree | 8e65c4144d77573dcd0022d4326c7c8e1b042675 /src | |
parent | 088c2b038ea2de67e90f8a7179c129133127f854 (diff) | |
download | ComputeLibrary-6b4e604aa2f8598bce37abe76654b87a41ababb7.tar.gz |
COMPMID-1303: CLDepthConvert : Add support for FP32 -> FP16 and FP16 -> FP32 + validate() function
Change-Id: I6808de0254a7c4bca440322cc14b795b3b32465b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/142427
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src')
-rw-r--r-- | src/core/CL/cl_kernels/depth_convert.cl | 25 | ||||
-rw-r--r-- | src/core/CL/kernels/CLDepthConvertLayerKernel.cpp | 107 | ||||
-rw-r--r-- | src/runtime/CL/functions/CLDepthConvertLayer.cpp | 7 |
3 files changed, 93 insertions, 46 deletions
diff --git a/src/core/CL/cl_kernels/depth_convert.cl b/src/core/CL/cl_kernels/depth_convert.cl index 01491ec1b7..611449e614 100644 --- a/src/core/CL/cl_kernels/depth_convert.cl +++ b/src/core/CL/cl_kernels/depth_convert.cl @@ -24,8 +24,13 @@ #include "helpers.h" #ifdef SATURATE +#if defined(IS_DATA_TYPE_FLOAT) +#define CONVERT_RTE(x, type) (convert_##type##_rte((x))) +#define CONVERT_DOWN(x, type) CONVERT_RTE(x, type) +#else /* defined(IS_DATA_TYPE_FLOAT) */ #define CONVERT_DOWN(x, type) CONVERT_SAT(x, type) -#else /* SATURATE */ +#endif /* defined(IS_DATA_TYPE_FLOAT) */ +#else /* SATURATE */ #define CONVERT_DOWN(x, type) CONVERT(x, type) #endif /* SATURATE */ @@ -36,13 +41,13 @@ * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT: * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short * - * @param[in] in_ptr Pointer to the source image. Supported data types: U8, U16, S16, U32, S32, F16, F32 + * @param[in] in_ptr Pointer to the source image. Supported data types: U8/U16/S16/U32/S32/F16/F32 * @param[in] in_stride_x Stride of the source image in X dimension (in bytes) * @param[in] in_step_x in_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes) * @param[in] in_step_y in_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, U16, S16, U32, S32 + * @param[out] out_ptr Pointer to the destination image. Supported data types: U8/U16/S16/U32/S32/F16/F32 * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes) * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes) @@ -63,7 +68,12 @@ __kernel void convert_depth_down( VEC_DATA_TYPE(DATA_TYPE_IN, 16) in_data = vload16(0, (__global DATA_TYPE_IN *)in.ptr); +#if defined(IS_DATA_TYPE_FLOAT) + const DATA_TYPE_IN scale = (DATA_TYPE_IN)(1 << shift); + vstore16(CONVERT_DOWN(in_data / scale, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr); +#else /* defined(IS_DATA_TYPE_FLOAT) */ vstore16(CONVERT_DOWN(in_data >> shift, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr); +#endif /* defined(IS_DATA_TYPE_FLOAT) */ } /** This function performs a up-scaling depth conversion. @@ -71,13 +81,13 @@ __kernel void convert_depth_down( * @attention The input and output data_types need to be passed at compile time using -DDATA_TYPE_IN and -DDATA_TYPE_OUT: * e.g. -DDATA_TYPE_IN=uchar -DDATA_TYPE_OUT=short * - * @param[in] in_ptr Pointer to the source image. Supported data types: U8, U16, S16, U32 or S32 + * @param[in] in_ptr Pointer to the source image. Supported data types: U8/U16/S16/U32/S32/F16/F32 * @param[in] in_stride_x Stride of the source image in X dimension (in bytes) * @param[in] in_step_x in_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] in_stride_y Stride of the source image in Y dimension (in bytes) * @param[in] in_step_y in_stride_y * number of elements along Y processed per workitem(in bytes) * @param[in] in_offset_first_element_in_bytes The offset of the first element in the source image - * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, U16, S16, U32, S32, F16 or F32 + * @param[out] out_ptr Pointer to the destination image. Supported data types: U8/U16/S16/U32/S32/F16/F32 * @param[in] out_stride_x Stride of the destination image in X dimension (in bytes) * @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes) * @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes) @@ -98,5 +108,10 @@ __kernel void convert_depth_up( VEC_DATA_TYPE(DATA_TYPE_IN, 16) in_data = vload16(0, (__global DATA_TYPE_IN *)in.ptr); +#if defined(IS_DATA_TYPE_FLOAT) + const DATA_TYPE_OUT scale = (DATA_TYPE_OUT)(1 << shift); + vstore16(CONVERT_UP(in_data, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)) * scale, 0, (__global DATA_TYPE_OUT *)out.ptr); +#else /* defined(IS_DATA_TYPE_FLOAT) */ vstore16(CONVERT_UP(in_data, VEC_DATA_TYPE(DATA_TYPE_OUT, 16)) << shift, 0, (__global DATA_TYPE_OUT *)out.ptr); +#endif /* defined(IS_DATA_TYPE_FLOAT) */ } diff --git a/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp index 2f5b2466b1..ffbd295646 100644 --- a/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp +++ b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp @@ -25,6 +25,7 @@ #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/CL/CLValidate.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/OpenCL.h" #include "arm_compute/core/Error.h" @@ -38,64 +39,83 @@ using namespace arm_compute; -void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift) +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift) { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, - DataType::U16, DataType::U32, DataType::S32); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16, - DataType::U16, DataType::U32, DataType::S32, DataType::F32); - ARM_COMPUTE_ERROR_ON(input == output); - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == output->info()->data_type(), "Input and output data types must be different"); - ARM_COMPUTE_ERROR_ON(shift >= 8); + ARM_COMPUTE_UNUSED(policy); + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); + ARM_COMPUTE_RETURN_ERROR_ON(input == output); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, + DataType::U16, DataType::U32, DataType::S32, + DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16, + DataType::U16, DataType::U32, DataType::S32, + DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == output->data_type(), "Input and output data types must be different"); + ARM_COMPUTE_RETURN_ERROR_ON(shift >= 8); // Check if convertion is supported - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U8 && (output->info()->data_type() != DataType::U16 && output->info()->data_type() != DataType::S16 - && output->info()->data_type() != DataType::U32 && output->info()->data_type() != DataType::S32), - "Only data types supported [in] U8 -> [out] U16, S16, U32, S32"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U8 && (output->data_type() != DataType::U16 && output->data_type() != DataType::S16 + && output->data_type() != DataType::U32 && output->data_type() != DataType::S32), + "Only data types supported [in] U8 -> [out] U16, S16, U32, S32"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U16 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U32 + && output->data_type() != DataType::S32), + "Only data types supported [in] U16 -> [out] U8, U32, S32"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::S16 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U32 + && output->data_type() != DataType::S32), + "Only data types supported [in] S16 -> [out] U8, U32, S32"); + + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::U32 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U16 + && output->data_type() != DataType::S16), + "Only data types supported [in] U32 -> [out] U8, U16, S16"); - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32 - && output->info()->data_type() != DataType::S32), - "Only data types supported [in] U16 -> [out] U8, U32, S32"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::S32 && (output->data_type() != DataType::U8 && output->data_type() != DataType::U16 + && output->data_type() != DataType::S16), + "Only data types supported [in] S32 -> [out] U8, U16, S16"); - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32 - && output->info()->data_type() != DataType::S32), - "Only data types supported [in] S16 -> [out] U8, U32, S32"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::F16 && output->data_type() != DataType::F32, + "Only data types supported [in] F16 -> [out] F32"); - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16 - && output->info()->data_type() != DataType::S16), - "Only data types supported [in] U32 -> [out] U8, U16, S16"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == DataType::F32 && output->data_type() != DataType::F16, + "Only data types supported [in] F32 -> [out] F16"); + + // Validate in case of configured output + if(output->total_size() > 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); + } + + return Status{}; +} +} // namespace - ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16 - && output->info()->data_type() != DataType::S16), - "Only data types supported [in] S32 -> [out] U8, U16, S16"); +void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); // Auto initialize output shape if not initialized (We can only auto-configure the shape, datatype must be given) set_shape_if_empty(*output->info(), input->info()->tensor_shape()); - ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), policy, shift)); // Get data sizes const size_t input_size = data_size_from_type(input->info()->data_type()); const size_t output_size = data_size_from_type(output->info()->data_type()); - // Construct kernel name and build options - std::string kernel_name = "convert_depth"; - std::set<std::string> build_opts; - if(input_size > output_size) - { - kernel_name += "_down"; - // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined - build_opts.insert(((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE"); - } - else - { - kernel_name += "_up"; - } - build_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type())); - build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type())); + // Set build options + CLBuildOptions build_opts; + build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type())); + build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type())); + // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined + build_opts.add_option_if(input_size > output_size, ((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE"); + build_opts.add_option_if(is_data_type_float(input->info()->data_type()), "-DIS_DATA_TYPE_FLOAT"); // Create kernel - _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts)); + const std::string kernel_name = (input_size > output_size) ? "convert_depth_down" : "convert_depth_up"; + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); // Set shift arg unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters @@ -105,3 +125,10 @@ void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *out constexpr unsigned int num_elems_processed_per_iteration = 16; ICLSimple2DKernel::configure(input, output, num_elems_processed_per_iteration); } + +Status CLDepthConvertLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, policy, shift)); + + return Status{}; +} diff --git a/src/runtime/CL/functions/CLDepthConvertLayer.cpp b/src/runtime/CL/functions/CLDepthConvertLayer.cpp index b448465909..2e52e8aadc 100644 --- a/src/runtime/CL/functions/CLDepthConvertLayer.cpp +++ b/src/runtime/CL/functions/CLDepthConvertLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2016, 2017 ARM Limited. + * Copyright (c) 2016-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -36,3 +36,8 @@ void CLDepthConvertLayer::configure(const ICLTensor *input, ICLTensor *output, C k->configure(input, output, policy, shift); _kernel = std::move(k); } + +Status CLDepthConvertLayer::validate(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift) +{ + return CLDepthConvertLayerKernel::validate(input, output, policy, shift); +} |