Add TFLite to LiteRT name

MachineLearningEcosystem.md

@@ -23,7 +23,7 @@ flowchart-elk TB
     subgraph Model_Formats
         TF2_Saved_Model_File
         TF1_Hub_Format_File
-        TFLite_File
+        TensorFlowLiteRT_File
         PyTorch_PTH_File
         ONNX_File[<a href='https://onnx.ai/onnx/operators/index.html'><abbr title='Open Neural Network Exchange'>ONNX</abbr> File</a>]
         ORT_File[<a href='https://onnxruntime.ai/docs/performance/model-optimizations/ort-format-models.html'>Microsoft <abbr title='Open Neural Network Exchange Runtime'>ORT</abbr> File</a>]
@@ -124,7 +124,7 @@ flowchart-elk TB
     ONNX_File --> Microsoft_WinML
     ORT_File --> Microsoft_ONNX_Runtime
     PyTorch_PTH_File --> PyTorch
-    TFLite_File --> Google_TensorFlow
+    TensorFlowLiteRT_File --> Google_TensorFlow
     TF1_Hub_Format_File --> Google_TensorFlow
     TF2_Saved_Model_File --> Google_TensorFlow
 
@@ -220,7 +220,7 @@ TODO: Add links:
         PyTorch -> IREE
         JAX -> IREE
         TensorFlow -> IREE
-        TensorFlowLite -> IREE
+        TensorFlowLiteRT -> IREE
         IREE -> LLVM
         IREE -> SPIR-V
         IREE -> VMVX (op dialect) Virtual Machine Vector Extensions https://iree.dev/reference/mlir-dialects/VMVX/

OperatorFormulas.html

@@ -8028,6 +8028,8 @@ <h1 id="Operators">Operators</h1>
 
 TFLite dialect https://www.tensorflow.org/mlir/tfl_ops
 
+https://github.com/tensorflow/tensorflow/blob/fda1800b91d1deb1acb05d7adec84e65fe85840b/tensorflow/lite/builtin_ops.h#L29
+
 Add all PyTorch Prims: https://pytorch.org/docs/main/torch.compiler_ir.html#prims-ir
 
 TFJS - https://js.tensorflow.org/api/latest/#tensor