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 /compute_kernel_writer/src/cl/CLHelpers.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 'compute_kernel_writer/src/cl/CLHelpers.cpp')
-rw-r--r-- | compute_kernel_writer/src/cl/CLHelpers.cpp | 77 |
1 files changed, 39 insertions, 38 deletions
diff --git a/compute_kernel_writer/src/cl/CLHelpers.cpp b/compute_kernel_writer/src/cl/CLHelpers.cpp index ff4408b1a3..8e4a932764 100644 --- a/compute_kernel_writer/src/cl/CLHelpers.cpp +++ b/compute_kernel_writer/src/cl/CLHelpers.cpp @@ -28,6 +28,7 @@ #include "ckw/types/DataType.h" #include "ckw/types/Operators.h" #include "ckw/types/TensorStorageType.h" + #include "src/types/DataTypeHelpers.h" namespace ckw @@ -35,7 +36,7 @@ namespace ckw bool cl_validate_vector_length(int32_t len) { bool valid_vector_length = true; - if(len < 1 || len > 16 || (len > 4 && len < 8) || (len > 8 && len < 16)) + if (len < 1 || len > 16 || (len > 4 && len < 8) || (len > 8 && len < 16)) { valid_vector_length = false; } @@ -44,14 +45,14 @@ bool cl_validate_vector_length(int32_t len) std::string cl_get_variable_datatype_as_string(DataType dt, int32_t len) { - if(cl_validate_vector_length(len) == false) + if (cl_validate_vector_length(len) == false) { CKW_THROW_MSG("Unsupported vector length"); return ""; } std::string res; - switch(dt) + switch (dt) { case DataType::Fp32: res += "float"; @@ -85,7 +86,7 @@ std::string cl_get_variable_datatype_as_string(DataType dt, int32_t len) return ""; } - if(len > 1) + if (len > 1) { res += std::to_string(len); } @@ -95,7 +96,7 @@ std::string cl_get_variable_datatype_as_string(DataType dt, int32_t len) int32_t cl_round_up_to_nearest_valid_vector_width(int32_t width) { - switch(width) + switch (width) { case 1: return 1; @@ -128,7 +129,7 @@ int32_t cl_round_up_to_nearest_valid_vector_width(int32_t width) std::string cl_get_variable_storagetype_as_string(TensorStorageType storage) { std::string res; - switch(storage) + switch (storage) { case TensorStorageType::BufferUint8Ptr: res += "__global uchar*"; @@ -148,7 +149,7 @@ std::string cl_get_variable_storagetype_as_string(TensorStorageType storage) std::string cl_get_assignment_op_as_string(AssignmentOp op) { - switch(op) + switch (op) { case AssignmentOp::Increment: return "+="; @@ -163,34 +164,34 @@ std::string cl_get_assignment_op_as_string(AssignmentOp op) std::tuple<bool, std::string> cl_get_unary_op(UnaryOp op) { - switch(op) + switch (op) { case UnaryOp::LogicalNot: - return { false, "!" }; + return {false, "!"}; case UnaryOp::BitwiseNot: - return { false, "~" }; + return {false, "~"}; case UnaryOp::Exp: - return { true, "exp" }; + return {true, "exp"}; case UnaryOp::Tanh: - return { true, "tanh" }; + return {true, "tanh"}; case UnaryOp::Sqrt: - return { true, "sqrt" }; + return {true, "sqrt"}; case UnaryOp::Erf: - return { true, "erf" }; + return {true, "erf"}; case UnaryOp::Fabs: - return { true, "fabs" }; + return {true, "fabs"}; case UnaryOp::Log: - return { true, "log" }; + return {true, "log"}; case UnaryOp::Round: - return { true, "round" }; + return {true, "round"}; default: CKW_THROW_MSG("Unsupported unary operation!"); @@ -201,52 +202,52 @@ std::tuple<bool, std::string> cl_get_binary_op(BinaryOp op, DataType data_type) { const auto is_float = is_data_type_float(data_type); - switch(op) + switch (op) { case BinaryOp::Add: - return { false, "+" }; + return {false, "+"}; case BinaryOp::Sub: - return { false, "-" }; + return {false, "-"}; case BinaryOp::Mul: - return { false, "*" }; + return {false, "*"}; case BinaryOp::Div: - return { false, "/" }; + return {false, "/"}; case BinaryOp::Mod: - return { false, "%" }; + return {false, "%"}; case BinaryOp::Equal: - return { false, "==" }; + return {false, "=="}; case BinaryOp::Less: - return { false, "<" }; + return {false, "<"}; case BinaryOp::LessEqual: - return { false, "<=" }; + return {false, "<="}; case BinaryOp::Greater: - return { false, ">" }; + return {false, ">"}; case BinaryOp::GreaterEqual: - return { false, ">=" }; + return {false, ">="}; case BinaryOp::LogicalAnd: - return { false, "&&" }; + return {false, "&&"}; case BinaryOp::LogicalOr: - return { false, "||" }; + return {false, "||"}; case BinaryOp::BitwiseXOR: - return { false, "^" }; + return {false, "^"}; case BinaryOp::Min: - return { true, is_float ? "fmin" : "min" }; + return {true, is_float ? "fmin" : "min"}; case BinaryOp::Max: - return { true, is_float ? "fmax" : "max" }; + return {true, is_float ? "fmax" : "max"}; default: CKW_THROW_MSG("Unsupported binary operator/function!"); @@ -255,13 +256,13 @@ std::tuple<bool, std::string> cl_get_binary_op(BinaryOp op, DataType data_type) std::tuple<bool, std::string> cl_get_ternary_op(TernaryOp op) { - switch(op) + switch (op) { case TernaryOp::Select: - return { true, "select" }; + return {true, "select"}; case TernaryOp::Clamp: - return { true, "clamp" }; + return {true, "clamp"}; default: CKW_THROW_MSG("Unsupported ternary function!"); @@ -273,7 +274,7 @@ std::string cl_data_type_rounded_up_to_valid_vector_width(DataType dt, int32_t w std::string data_type; const int32_t w = cl_round_up_to_nearest_valid_vector_width(width); data_type += cl_get_variable_datatype_as_string(dt, 1); - if(w != 1) + if (w != 1) { data_type += std::to_string(w); } @@ -284,7 +285,7 @@ std::vector<int32_t> cl_decompose_vector_width(int32_t vector_width) { std::vector<int32_t> x; - switch(vector_width) + switch (vector_width) { case 0: break; |