[mlir][tensor] Fix assertion failure when operand is negative in GenerateOp canonicalization

[sotoshigoto]

Summary

When an operand of Tensor::GenerateOp is less than 1 during the canonicalization
process, it triggers an assertion failure related to 'invalid tensor dimension size'
at RankedTensorType::get(..). This assertion failure occurs when the dimension is
less than 1 but not equal to the value of DynamicDim.
This patch resolves the issue reported in https://github.com/llvm/llvm-project/issues/59703.

[sotoshigoto]

apply clang-format

[sotoshigoto]

duplicated with https://reviews.llvm.org/D151611

mlir/lib/Dialect/Tensor/IR/TensorOps.cpp

LogicalResult matchAndRewrite(GenerateOp tensorFromElements,
     auto operandsIt = tensorFromElements.getDynamicExtents().begin();
 
     for (int64_t dim : resultType.getShape()) {
       if (!ShapedType::isDynamic(dim)) {
         newShape.push_back(dim);
         continue;
       }
       APInt index;
-      if (!matchPattern(*operandsIt, m_ConstantInt(&index))) {
+      if (!matchPattern(*operandsIt, m_ConstantInt(&index)) ||
+          index.getSExtValue() < 1) {
         newShape.push_back(ShapedType::kDynamic);
         newOperands.push_back(*operandsIt++);
         continue;
       }
       newShape.push_back(index.getSExtValue());
       operandsIt++;
     }