Fix compile error for Tensor::data() (#3009)

## Description
- Fix compilation issuesr with updated ov::Tensor::data() member. for OV
26.0 to fix build issues.
- No test update, functionality not changed.
- No docs update required.

Blocked PR:
- openvinotoolkit/openvino#32569

<!--- Jira ticket number (e.g., 123). Delete if there's no ticket. Don't
include full link or project name. -->
Ticket: 
CVS-174872

## Checklist:
- [x] Tests have been updated or added to cover the new code <!--- If
the change isn't maintenance related, update the tests at
https://github.com/openvinotoolkit/openvino.genai/tree/master/tests or
explain in the description why the tests don't need an update. -->
- [x] This patch fully addresses the ticket. <!--- If follow-up pull
requests are needed, specify in description. -->
- [x] I have made corresponding changes to the documentation

---------

Signed-off-by: Raasz, Pawel <[email protected]>
Co-authored-by: Copilot <[email protected]>

Author: praasz

src/cpp/src/lora/adapter.cpp

@@ -99,8 +99,9 @@ struct AutoSafetensor: public safetensors_File {
 // The memory block will be deallocated when the last Constant is destroyed.
 ConstantMap safetensor_to_constant_map(const ov::Tensor& safetensor) {
     AutoSafetensor safe_tensors_file{};
-
-    OPENVINO_ASSERT(safetensors_file_init(safetensor.data<char>(), safetensor.get_byte_size(), &safe_tensors_file) == nullptr,
+    // Intentionally discard const qualifier used as read only in safetensors_file_init
+    auto safetensor_data = const_cast<char*>(safetensor.data<char>());
+    OPENVINO_ASSERT(safetensors_file_init(safetensor_data, safetensor.get_byte_size(), &safe_tensors_file) == nullptr,
         "Cannot parse safetensor as a Safetensors file format. Safetensors file format is supported only"
     );
 

src/cpp/src/speculative_decoding/speculative_decoding_stateful.cpp

@@ -338,7 +338,7 @@ std::variant<int64_t, std::vector<int64_t>>
 
     auto sample_token = [&](const ov::Tensor& logits, std::size_t idx) {
         size_t sequence_offset = idx * vocab_size;
-        float* logits_data = logits.data<float>() + sequence_offset;
+        const auto logits_data = logits.data<float>() + sequence_offset;
         return std::max_element(logits_data, logits_data + vocab_size) - logits_data;
     };