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[Coverity] fix coverity (#24065) 

### Details:
 - *fix coverity*

### Tickets:
 - *CVS-136537, CVS-136539,CVS-136540, CVS-136542*
This commit is contained in:
Andrei Gorbachev 2024-04-18 07:03:55 +01:00 committed by GitHub
parent d4c7063d17
commit 659bbd7f9f
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
7 changed files with 13 additions and 8 deletions
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4
src/plugins/intel_gpu/include/intel_gpu/primitives/swiglu.hpp
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@ -31,8 +31,8 @@ struct swiglu : public primitive_base<swiglu> {
split_lengths(split_lengths),
output_size(output_size) {}
int64_t axis;
int64_t split_lengths;
int64_t axis = 0;
int64_t split_lengths = 0;
tensor output_size;
size_t hash() const override {

3
src/plugins/intel_gpu/src/kernel_selector/kernels/concatenation/concatenation_kernel_base.cpp
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@ -128,7 +128,8 @@ void ConcatenationKernelBase::GetUpdateDispatchDataFunc(KernelData& kd) const {
kernel.params.scalars.resize(1);
kernel.params.scalars[0] = s;
size_t concatChannelIndex = (size_t)DataTensor::Channelndex(input.GetLayout(), GetConcatChannel(prim_params));
auto concatChannelIndex = DataTensor::Channelndex(input.GetLayout(), GetConcatChannel(prim_params));
OPENVINO_ASSERT(concatChannelIndex >= 0, "concatChannelIndex shouldn't be negative");
lastOffset += (uint32_t)input.GetDims()[concatChannelIndex].v;
}
};

3
src/plugins/intel_gpu/src/kernel_selector/kernels/concatenation/concatenation_kernel_fs_b_yx_fsv32.cpp
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@ -122,7 +122,8 @@ KernelsData ConcatenationKernel_fs_b_yx_fsv32::GetKernelsData(const Params& para
kernel.params.scalars.push_back(s);
kernel.params.arguments.push_back({ArgumentDescriptor::Types::SCALAR, 0});
size_t concatChannelIndex = (size_t)DataTensor::Channelndex(orgParams.inputs[i].GetLayout(), GetConcatChannel(orgParams));
auto concatChannelIndex = DataTensor::Channelndex(orgParams.inputs[i].GetLayout(), GetConcatChannel(orgParams));
OPENVINO_ASSERT(concatChannelIndex >= 0, "concatChannelIndex shouldn't be negative");
lastOffset += (uint32_t)input.GetDims()[concatChannelIndex].v;
}

5
src/plugins/intel_gpu/src/kernel_selector/kernels/permute/permute_kernel_f_y_axes.cpp
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@ -24,7 +24,10 @@ size_t GetDivisor(const size_t input_size) {
return input_size % i == 0;
};
auto result = std::find_if(begin(v), end(v), is_divided);
return *result;
if (result != end(v)) {
return *result;
}
return 1;
}
bool IsSimpleMemCopyOperation(const permute_params& params) {

2
src/plugins/intel_gpu/src/kernel_selector/kernels/scatter_update/scatter_elements_update_kernel_ref.cpp
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@ -131,7 +131,7 @@ CommonDispatchData ScatterElementsUpdateKernelRef::SetDefault(const scatter_elem
JitConstants ScatterElementsUpdateKernelRef::GetJitConstants(const scatter_elements_update_params& params) const {
JitConstants jit = MakeBaseParamsJitConstants(params);
jit.AddConstant(MakeJitConstant("AXIS_VALUE", GetScatterElementsUpdateChannelIndex(params)));
jit.AddConstant(MakeJitConstant("AXIS_VALUE", static_cast<size_t>(GetScatterElementsUpdateChannelIndex(params))));
if (params.mode != ScatterUpdateReduction::NONE) {
jit.AddConstant(MakeJitConstant("REDUCE_MODE", static_cast<int>(params.mode)));

3
src/plugins/intel_gpu/src/kernel_selector/kernels/scatter_update/scatter_update_kernel_ref.cpp
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@ -220,7 +220,8 @@ JitConstants ScatterUpdateKernelRef::GetJitConstants(const scatter_update_params
}
jit.AddConstant(MakeJitConstant("UPDATES_INDEX_ORDER", GetUpdatesIndexOrder(params)));
jit.AddConstant(MakeJitConstant("SECOND_ITER_OUTPUT_INDEX_ORDER", GetSecondIterOutputIndexOrder(params, GetScatterUpdateChannelIndex(params))));
jit.AddConstant(MakeJitConstant("SECOND_ITER_OUTPUT_INDEX_ORDER",
GetSecondIterOutputIndexOrder(params, static_cast<size_t>(GetScatterUpdateChannelIndex(params)))));
jit.AddConstant(MakeJitConstant("OUTPUT_INDEX_ON_AXIS", GetOutputIndexOnAxis(params, GetScatterUpdateChannelIndex(params))));
jit.AddConstant(MakeJitConstant("AXIS_VALUE", axis_value));

1
src/plugins/intel_gpu/src/plugin/transformations/op/convolution.cpp
View File

@ -70,7 +70,6 @@ void Convolution::validate_and_infer_types() {
if (m_output_type != ov::element::undefined) {
result_et = m_output_type;
} else if (data_batch_et.compatible(filters_et)) {
ov::element::Type::merge(result_et, data_batch_et, filters_et);
NODE_VALIDATION_CHECK(this,
element::Type::merge(result_et, data_batch_et, filters_et),
"Element types for data batch and filters do not match (data batch element type: ",