diff options
Diffstat (limited to 'src/gpu/cl/operators/ClMatMul.cpp')
| -rw-r--r-- | src/gpu/cl/operators/ClMatMul.cpp | 62 |
1 files changed, 47 insertions, 15 deletions
diff --git a/src/gpu/cl/operators/ClMatMul.cpp b/src/gpu/cl/operators/ClMatMul.cpp index 15833216bb..3822c16aa1 100644 --- a/src/gpu/cl/operators/ClMatMul.cpp +++ b/src/gpu/cl/operators/ClMatMul.cpp @@ -22,8 +22,11 @@ * SOFTWARE. */ #include "src/gpu/cl/operators/ClMatMul.h" + #include "arm_compute/core/Error.h" +#include "arm_compute/core/Utils.h" #include "arm_compute/runtime/CL/CLScheduler.h" + #include "src/common/utils/Log.h" #include "src/gpu/cl/kernels/ClMatMulNativeKernel.h" #include "src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.h" @@ -37,45 +40,74 @@ namespace arm_compute namespace opencl { using namespace arm_compute::opencl::kernels; + ClMatMul::ClMatMul() - : _native_matmul_kernel(std::make_unique<ClMatMulNativeKernel>()) + : _matmul_native_kernel(std::make_unique<ClMatMulNativeKernel>()), + _matmul_lowp_native_kernel(std::make_unique<ClMatMulLowpNativeKernel>()) { } -ClMatMul::~ClMatMul() -{ -} -Status ClMatMul::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *output, const MatMulInfo &matmul_info) + +Status ClMatMul::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *dst, const MatMulInfo &matmul_info) { + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(rhs, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); + const GPUTarget gpu_target = CLScheduler::get().target(); std::unique_ptr<IClMatMulNativeKernelConfig> t = ClMatMulNativeKernelConfigurationFactory::create(gpu_target); MatMulKernelInfo kernel_info = t->configure(lhs, rhs, matmul_info); - return ClMatMulNativeKernel::validate(lhs, rhs, output, kernel_info); + bool is_quantized = is_data_type_quantized_asymmetric(lhs->data_type()); + + return is_quantized ? ClMatMulLowpNativeKernel::validate(lhs, rhs, dst, kernel_info) : + ClMatMulNativeKernel::validate(lhs, rhs, dst, kernel_info); } -void ClMatMul::configure(const CLCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *output, const MatMulInfo &matmul_info) + +void ClMatMul::configure(const CLCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *dst, const MatMulInfo &matmul_info) { - ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, output); - ARM_COMPUTE_LOG_PARAMS(lhs, rhs, output, matmul_info); + ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst); + ARM_COMPUTE_LOG_PARAMS(lhs, rhs, dst, matmul_info); // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, output, matmul_info)); + ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, dst, matmul_info)); + + _is_quantized = is_data_type_quantized_asymmetric(lhs->data_type()); + const GPUTarget gpu_target = CLScheduler::get().target(); std::unique_ptr<IClMatMulNativeKernelConfig> t = ClMatMulNativeKernelConfigurationFactory::create(gpu_target); MatMulKernelInfo kernel_info = t->configure(lhs, rhs, matmul_info); - // Set the target for the kernels - _native_matmul_kernel->set_target(gpu_target); + if(_is_quantized) + { + _matmul_lowp_native_kernel->set_target(gpu_target); - // Configure the native matrix multiply kernel - _native_matmul_kernel->configure(compile_context, lhs, rhs, output, kernel_info); + // Configure the low-precision native matrix multiply kernel + _matmul_lowp_native_kernel->configure(compile_context, lhs, rhs, dst, kernel_info); + } + else + { + _matmul_native_kernel->set_target(gpu_target); + + // Configure the native matrix multiply kernel + _matmul_native_kernel->configure(compile_context, lhs, rhs, dst, kernel_info); + } } + void ClMatMul::run(ITensorPack &tensors) { - CLScheduler::get().enqueue_op(*_native_matmul_kernel, tensors, true); + if(_is_quantized) + { + CLScheduler::get().enqueue_op(*_matmul_lowp_native_kernel, tensors, true); + } + else + { + CLScheduler::get().enqueue_op(*_matmul_native_kernel, tensors, true); + } } + } // namespace opencl } // namespace arm_compute |