[llvm] Changing creation of TensorSpec in a type agnostic manner. (PR #141161)

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llvmbot wrote:


<!--LLVM PR SUMMARY COMMENT-->

@llvm/pr-subscribers-llvm-analysis

Author: S. VenkataKeerthy (svkeerthy)

<details>
<summary>Changes</summary>

This change would enable using `ir2vec::Embedding` which are float vectors in ML Inliner. 

---
Full diff: https://github.com/llvm/llvm-project/pull/141161.diff


1 Files Affected:

- (modified) llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp (+2-2) 


``````````diff
diff --git a/llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp b/llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp
index 2feedd2ff40af..e7e8f2ac1ff25 100644
--- a/llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp
+++ b/llvm/lib/Analysis/DevelopmentModeInlineAdvisor.cpp
@@ -261,8 +261,8 @@ static const std::vector<TensorSpec> TrainingOnlyFeatures{
 static const std::vector<TensorSpec> getInputFeatures() {
   std::vector<TensorSpec> InputSpecs;
   for (size_t I = 0; I < NumberOfFeatures; ++I)
-    InputSpecs.push_back(TensorSpec::createSpec<int64_t>(
-        TFFeedPrefix + FeatureMap[I].name(), FeatureMap[I].shape()));
+    InputSpecs.push_back(
+        TensorSpec(TFFeedPrefix + FeatureMap[I].name(), FeatureMap[I]));
   append_range(InputSpecs, TrainingOnlyFeatures);
   return InputSpecs;
 }

``````````

</details>


https://github.com/llvm/llvm-project/pull/141161