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Diffstat (limited to 'src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp')
-rw-r--r--src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp63
1 files changed, 41 insertions, 22 deletions
diff --git a/src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp b/src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp
index 66331bc818..0bb6b0c083 100644
--- a/src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp
+++ b/src/gpu/cl/kernels/ClMatMulLowpNativeKernel.cpp
@@ -29,17 +29,16 @@
#include "arm_compute/core/QuantizationInfo.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/utils/ActivationFunctionUtils.h"
-#include "arm_compute/core/utils/StringUtils.h"
#include "arm_compute/core/utils/helpers/AdjustVecSize.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
+#include "arm_compute/core/utils/StringUtils.h"
#include "src/common/utils/Log.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/gpu/cl/ClCompileContext.h"
#include "src/gpu/cl/kernels/helpers/MatMulKernelHelpers.h"
-
#include "support/Cast.h"
#include "support/StringSupport.h"
@@ -62,51 +61,62 @@ Status validate_matmul_kernel_info(const MatMulKernelInfo &matmul_kernel_info)
// Validate M0
ARM_COMPUTE_RETURN_ERROR_ON_MSG(m0 < 1, "Only positive integers are supported for M0");
- if(adj_lhs)
+ if (adj_lhs)
{
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(((m0 & (m0 - 1)) && (m0 != 3)) || (m0 > 16), "Only 1,2,3,4,8,16 are supported for M0 for Lhs transposed");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((m0 & (m0 - 1)) && (m0 != 3)) || (m0 > 16),
+ "Only 1,2,3,4,8,16 are supported for M0 for Lhs transposed");
}
// Validate N0
ARM_COMPUTE_RETURN_ERROR_ON_MSG(n0 < 1, "Only positive integers are supported for N0");
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(((n0 & (n0 - 1)) && (n0 != 3)) || (n0 > 16), "Only 1,2,3,4,8,16 are supported for N0");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((n0 & (n0 - 1)) && (n0 != 3)) || (n0 > 16),
+ "Only 1,2,3,4,8,16 are supported for N0");
// Validate K0
ARM_COMPUTE_RETURN_ERROR_ON_MSG(k0 < 1, "Only positive integers are supported for K0");
- if(!adj_lhs || adj_rhs)
+ if (!adj_lhs || adj_rhs)
{
- ARM_COMPUTE_RETURN_ERROR_ON_MSG(((k0 & (k0 - 1)) && (k0 != 3)) || (k0 > 16), "Only 1,2,3,4,8,16 are supported for K0");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((k0 & (k0 - 1)) && (k0 != 3)) || (k0 > 16),
+ "Only 1,2,3,4,8,16 are supported for K0");
}
return Status{};
}
-}
+} // namespace
ClMatMulLowpNativeKernel::ClMatMulLowpNativeKernel()
{
_type = CLKernelType::GEMM;
}
-Status ClMatMulLowpNativeKernel::validate(const ITensorInfo *lhs, const ITensorInfo *rhs, const ITensorInfo *bias, const ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info,
+Status ClMatMulLowpNativeKernel::validate(const ITensorInfo *lhs,
+ const ITensorInfo *rhs,
+ const ITensorInfo *bias,
+ const ITensorInfo *dst,
+ const MatMulKernelInfo &matmul_kernel_info,
const ActivationLayerInfo &act_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);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, rhs);
ARM_COMPUTE_RETURN_ON_ERROR(validate_matmul_kernel_info(matmul_kernel_info));
- ARM_COMPUTE_RETURN_ON_ERROR(validate_matmul_input_shapes(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info));
+ ARM_COMPUTE_RETURN_ON_ERROR(
+ validate_matmul_input_shapes(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info));
- ARM_COMPUTE_RETURN_ERROR_ON_MSG((act_info.activation() != ActivationFunction::IDENTITY && act_info.activation() != ActivationFunction::RELU
- && act_info.activation() != ActivationFunction::LU_BOUNDED_RELU && act_info.activation() != ActivationFunction::BOUNDED_RELU),
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG((act_info.activation() != ActivationFunction::IDENTITY &&
+ act_info.activation() != ActivationFunction::RELU &&
+ act_info.activation() != ActivationFunction::LU_BOUNDED_RELU &&
+ act_info.activation() != ActivationFunction::BOUNDED_RELU),
"Activation Function specified is unsupported.");
- const TensorShape expected_output_shape = misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info);
+ const TensorShape expected_output_shape =
+ misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info);
- if(dst->total_size() != 0)
+ if (dst->total_size() != 0)
{
const TensorInfo tensor_info_output = dst->clone()->set_tensor_shape(expected_output_shape);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(dst, &tensor_info_output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, dst);
}
- if(bias != nullptr)
+ if (bias != nullptr)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32);
ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1);
@@ -115,7 +125,12 @@ Status ClMatMulLowpNativeKernel::validate(const ITensorInfo *lhs, const ITensorI
return Status{};
}
-void ClMatMulLowpNativeKernel::configure(const ClCompileContext &compile_context, ITensorInfo *lhs, ITensorInfo *rhs, ITensorInfo *bias, ITensorInfo *dst, const MatMulKernelInfo &matmul_kernel_info,
+void ClMatMulLowpNativeKernel::configure(const ClCompileContext &compile_context,
+ ITensorInfo *lhs,
+ ITensorInfo *rhs,
+ ITensorInfo *bias,
+ ITensorInfo *dst,
+ const MatMulKernelInfo &matmul_kernel_info,
const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst, &compile_context, &matmul_kernel_info);
@@ -123,7 +138,8 @@ void ClMatMulLowpNativeKernel::configure(const ClCompileContext &compile_context
ARM_COMPUTE_ERROR_THROW_ON(validate(lhs, rhs, bias, dst, matmul_kernel_info));
// dst tensor auto initialization if not yet initialized
- auto_init_if_empty(*dst, lhs->clone()->set_tensor_shape(misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info)));
+ auto_init_if_empty(*dst, lhs->clone()->set_tensor_shape(misc::shape_calculator::compute_matmul_shape(
+ lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info)));
const int m = dst->dimension(1);
const int n = dst->dimension(0);
@@ -217,10 +233,13 @@ void ClMatMulLowpNativeKernel::run_op(ITensorPack &tensors, const Window &window
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
- const ICLTensor *lhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
- const ICLTensor *rhs = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1));
- const ICLTensor *bias = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2));
- ICLTensor *dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
+ const ICLTensor *lhs =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_0));
+ const ICLTensor *rhs =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_1));
+ const ICLTensor *bias =
+ utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC_2));
+ ICLTensor *dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
ARM_COMPUTE_ERROR_ON_NULLPTR(lhs, rhs, dst);
ARM_COMPUTE_LOG_PARAMS(lhs, rhs, bias, dst);
@@ -229,7 +248,7 @@ void ClMatMulLowpNativeKernel::run_op(ITensorPack &tensors, const Window &window
add_3d_tensor_nhw_argument(idx, lhs);
add_3d_tensor_nhw_argument(idx, rhs);
- if(bias != nullptr)
+ if (bias != nullptr)
{
add_3d_tensor_nhw_argument(idx, bias);
}
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-19 22:36:11 +0000