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fix uninitialized scalar variables (#16772)

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This commit is contained in:
Eddy Kim 2023-04-07 09:28:45 +09:00 committed by GitHub
parent e17a6f29bf
commit df4d7bd3e9
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GPG Key ID: 4AEE18F83AFDEB23
7 changed files with 15 additions and 15 deletions
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2
src/plugins/intel_gpu/include/intel_gpu/primitives/lstm.hpp
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@ -280,7 +280,7 @@ protected:
struct lstm_elt : public primitive_base<lstm_elt> {
CLDNN_DECLARE_PRIMITIVE(lstm_elt)
lstm_elt() : primitive_base("", {}) {}
lstm_elt() : primitive_base("", {}), clip(0), input_forget(0), offset_order(lstm_weights_order::iofz), direction(0) {}
DECLARE_OBJECT_TYPE_SERIALIZATION

4
src/plugins/intel_gpu/src/graph/data.cpp
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@ -80,10 +80,10 @@ void data_inst::load(BinaryInputBuffer& ib) {
layout output_layout = layout();
ib >> output_layout;
allocation_type _allocation_type;
allocation_type _allocation_type = allocation_type::unknown;
ib >> make_data(&_allocation_type, sizeof(_allocation_type));
size_t data_size;
size_t data_size = 0;
ib >> make_data(&data_size, sizeof(size_t));
if (ib.getNetwork()) {

2
src/plugins/intel_gpu/src/graph/detection_output.cpp
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@ -221,7 +221,7 @@ void detection_output_inst::load(cldnn::BinaryInputBuffer& ib) {
float nms_threshold;
int top_k;
float eta;
prior_box_code_type code_type;
prior_box_code_type code_type = prior_box_code_type::corner;
bool variance_encoded_in_target;
float confidence_threshold;
int32_t prior_info_size;

16
src/plugins/intel_gpu/src/graph/impls/onednn/gemm_onednn.cpp
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@ -233,20 +233,20 @@ public:
bool gemm_with_bias;
ib >> gemm_with_bias;
dnnl::memory::data_type in0_dt;
dnnl::memory::data_type in1_dt;
dnnl::memory::data_type out_dt;
dnnl::memory::data_type bias_dt;
dnnl::memory::data_type in0_dt = dnnl::memory::data_type::undef;
dnnl::memory::data_type in1_dt = dnnl::memory::data_type::undef;
dnnl::memory::data_type out_dt = dnnl::memory::data_type::undef;
dnnl::memory::data_type bias_dt = dnnl::memory::data_type::undef;
dnnl::memory::dims in0_dims;
dnnl::memory::dims in1_dims;
dnnl::memory::dims out_dims;
dnnl::memory::dims bias_dims;
dnnl::memory::format_tag in0_fmt;
dnnl::memory::format_tag in1_fmt;
dnnl::memory::format_tag out_fmt;
dnnl::memory::format_tag bias_fmt;
dnnl::memory::format_tag in0_fmt = dnnl::memory::format_tag::undef;
dnnl::memory::format_tag in1_fmt = dnnl::memory::format_tag::undef;
dnnl::memory::format_tag out_fmt = dnnl::memory::format_tag::undef;
dnnl::memory::format_tag bias_fmt = dnnl::memory::format_tag::undef;
ib >> make_data(&in0_dt, sizeof(dnnl::memory::data_type));
ib >> make_data(&in1_dt, sizeof(dnnl::memory::data_type));

2
src/plugins/intel_gpu/src/graph/mutable_data.cpp
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@ -99,7 +99,7 @@ void mutable_data_inst::save(cldnn::BinaryOutputBuffer& ob) const {
void mutable_data_inst::load(BinaryInputBuffer& ib) {
parent::load(ib);
size_t data_size;
size_t data_size = 0;
ib >> make_data(&data_size, sizeof(size_t));
if (data_size == 0)

2
src/plugins/intel_gpu/src/graph/primitive_inst.cpp
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@ -1273,7 +1273,7 @@ void primitive_inst::load(cldnn::BinaryInputBuffer& ib) {
ib >> output_layout;
output_layouts.emplace_back(output_layout);
allocation_type _allocation_type;
allocation_type _allocation_type = allocation_type::unknown;
ib >> make_data(&_allocation_type, sizeof(_allocation_type));
allocation_types.emplace_back(_allocation_type);
}

2
src/plugins/intel_gpu/src/runtime/ocl/ocl_memory.cpp
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@ -129,7 +129,7 @@ dnnl::memory gpu_buffer::get_onednn_memory(dnnl::memory::desc desc, int64_t offs
#endif
gpu_image2d::gpu_image2d(ocl_engine* engine, const layout& layout)
: lockable_gpu_mem(), memory(engine, layout, allocation_type::cl_mem, false), _row_pitch(0), _slice_pitch(0) {
: lockable_gpu_mem(), memory(engine, layout, allocation_type::cl_mem, false), _width(0), _height(0), _row_pitch(0), _slice_pitch(0) {
cl_channel_type type = layout.data_type == data_types::f16 ? CL_HALF_FLOAT : CL_FLOAT;
cl_channel_order order = CL_R;
switch (layout.format) {