[GPU] Use oneDNN gemm on DG2 in some cases (#12878)
* [GPU] Enable onednn gemm with some additional restrictions * f64 support in c++ benchmark_app * Fixed python benchmark_app
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@@ -225,6 +225,13 @@ ov::Tensor get_image_tensor(const std::vector<std::string>& files,
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inputInfo.second,
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inputInfo.first,
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filenames_used);
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} else if (type == ov::element::f64) {
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return create_tensor_from_image<double>(files,
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inputId,
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batchSize,
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inputInfo.second,
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inputInfo.first,
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filenames_used);
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} else if (type == ov::element::i32) {
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return create_tensor_from_image<int32_t>(files,
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inputId,
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@@ -257,6 +264,8 @@ ov::Tensor get_im_info_tensor(const std::pair<size_t, size_t>& image_size,
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auto type = inputInfo.second.type;
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if (type == ov::element::f32) {
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return create_tensor_im_info<float>(image_size, batchSize, inputInfo.second, inputInfo.first);
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} else if (type == ov::element::f64) {
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return create_tensor_im_info<double>(image_size, batchSize, inputInfo.second, inputInfo.first);
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} else if (type == ov::element::f16) {
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return create_tensor_im_info<short>(image_size, batchSize, inputInfo.second, inputInfo.first);
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} else if (type == ov::element::i32) {
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@@ -281,6 +290,13 @@ ov::Tensor get_binary_tensor(const std::vector<std::string>& files,
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inputInfo.second,
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inputInfo.first,
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filenames_used);
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} else if (type == ov::element::f64) {
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return create_tensor_from_binary<double>(files,
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inputId,
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batchSize,
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inputInfo.second,
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inputInfo.first,
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filenames_used);
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} else if (type == ov::element::f16) {
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return create_tensor_from_binary<short>(files,
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inputId,
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@@ -318,6 +334,8 @@ ov::Tensor get_random_tensor(const std::pair<std::string, benchmark_app::InputIn
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auto type = inputInfo.second.type;
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if (type == ov::element::f32) {
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return create_tensor_random<float, float>(inputInfo.second);
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} else if (type == ov::element::f64) {
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return create_tensor_random<double, double>(inputInfo.second);
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} else if (type == ov::element::f16) {
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return create_tensor_random<short, short>(inputInfo.second);
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} else if (type == ov::element::i32) {
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