diff --git a/source/onnx-metadata.json b/source/onnx-metadata.json
index 58afae22da..a2dd4a464c 100644
--- a/source/onnx-metadata.json
+++ b/source/onnx-metadata.json
@@ -34557,7 +34557,7 @@
     "module": "ai.onnx",
     "version": 13,
     "support_level": "common",
-    "description": "Produces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://numpy.org/doc/stable/user/basics.indexing.html?highlight=slice#slicing-and-striding\n\nSlice uses the `starts`, `ends`, `axes` and `steps` inputs to select a sub-tensor\nof its input `data` tensor.\n\nAn effective `start[i]`, `end[i]`, and `step[i]` must be computed for each `i`\nin `[0, ... r-1]` where `r = rank(input)` as follows:\n\nIf `axes` are omitted, they are set to `[0, ..., r-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\n\nThe effective values are initialized as `start[i] = 0`, `end[i] = dims[i]` where\n`dims` are the dimensions of `input` and `step[i] = `1.\n\nAll negative elements of `axes` are made non-negatve by adding `r` to them, where\n`r =rank(input)`.\n\nAll negative values in `starts[i]` and `ends[i]` have `dims[axes[i]]` added to them,\nwhere `dims` are the dimensions of `input`. Then `start[axes[i]]` is the adjusted\n`starts[i]` is clamped into the range `[0, dims[axes[i]]]` for positive stepping\nand `[0, dims[axes[i]]-1]` for negative stepping.\n\nThe clamping for the adjusted `ends[i]` depends on the sign of `steps[i]` and must\naccommodate copying 0 through `dims[axes[i]]` elements, so for positive stepping\n`end[axes[i]]` is clamped to `[0, dims[axes[i]]]`, while for negative stepping it\nis clamped to `[-1, dims[axes[i]]-1]`.\n\nFinally, `step[axes[i]] = steps[i]`.\n\nFor slicing to the end of a dimension with unknown size, it is recommended to pass\nin `INT_MAX` when slicing forward and 'INT_MIN' when slicing backward.\n\nExample 1:\n\n```\ndata = [\n    [1, 2, 3, 4],\n    [5, 6, 7, 8],\n]\naxes = [0, 1]\nstarts = [1, 0]\nends = [2, 3]\nsteps = [1, 2]\nresult = [\n    [5, 7],\n]\n```\n\nExample 2:\n\n```\ndata = [\n    [1, 2, 3, 4],\n    [5, 6, 7, 8],\n]\nstarts = [0, 1]\nends = [-1, 1000]\nresult = [\n    [2, 3, 4],\n]\n```\n",
+    "description": "Produces a slice of the input tensor along multiple axes. Similar to numpy:\nhttps://numpy.org/doc/stable/user/basics.indexing.html?highlight=slice#slicing-and-striding\n\nSlice uses the `starts`, `ends`, `axes` and `steps` inputs to select a sub-tensor\nof its input `data` tensor.\n\nAn effective `starts[i]`, `ends[i]`, and `steps[i]` must be computed for each `i`\nin `[0, ... r-1]` where `r = rank(input)` as follows:\n\nIf `axes` are omitted, they are set to `[0, ..., r-1]`.\nIf `steps` are omitted, they are set to `[1, ..., 1]` of length `len(starts)`\n\nThe effective values are initialized as `start[i] = 0`, `ends[i] = dims[i]` where\n`dims` are the dimensions of `input` and `steps[i] = `1.\n\nAll negative elements of `axes` are made non-negatve by adding `r` to them, where\n`r =rank(input)`.\n\nAll negative values in `starts[i]` and `ends[i]` have `dims[axes[i]]` added to them,\nwhere `dims` are the dimensions of `input`. Then `start[axes[i]]` is the adjusted\n`starts[i]` is clamped into the range `[0, dims[axes[i]]]` for positive stepping\nand `[0, dims[axes[i]]-1]` for negative stepping.\n\nThe clamping for the adjusted `ends[i]` depends on the sign of `steps[i]` and must\naccommodate copying 0 through `dims[axes[i]]` elements, so for positive stepping\n`ends[axes[i]]` is clamped to `[0, dims[axes[i]]]`, while for negative stepping it\nis clamped to `[-1, dims[axes[i]]-1]`.\n\nFinally, `steps[axes[i]] = steps[i]`.\n\nFor slicing to the end of a dimension with unknown size, it is recommended to pass\nin `INT_MAX` when slicing forward and 'INT_MIN' when slicing backward.\n\nExample 1:\n\n```\ndata = [\n    [1, 2, 3, 4],\n    [5, 6, 7, 8],\n]\naxes = [0, 1]\nstarts = [1, 0]\nends = [2, 3]\nsteps = [1, 2]\nresult = [\n    [5, 7],\n]\n```\n\nExample 2:\n\n```\ndata = [\n    [1, 2, 3, 4],\n    [5, 6, 7, 8],\n]\nstarts = [0, 1]\nends = [-1, 1000]\nresult = [\n    [2, 3, 4],\n]\n```\n",
     "inputs": [
       {
         "name": "data",
diff --git a/source/tf-proto.js b/source/tf-proto.js
index 37dfcc85f2..7694c6e8d0 100644
--- a/source/tf-proto.js
+++ b/source/tf-proto.js
@@ -2549,10 +2549,7 @@ $root.tensorflow.GraphDebugInfo = class GraphDebugInfo {
 
     constructor() {
         this.files = [];
-        this.frames_by_id = {};
-        this.traces_by_id = {};
         this.traces = {};
-        this.name_to_trace_id = {};
     }
 
     static decode(reader, length) {
@@ -2564,18 +2561,9 @@ $root.tensorflow.GraphDebugInfo = class GraphDebugInfo {
                 case 1:
                     message.files.push(reader.string());
                     break;
-                case 4:
-                    reader.entry(message.frames_by_id, () => reader.fixed64(), () => $root.tensorflow.GraphDebugInfo.FileLineCol.decode(reader, reader.uint32()));
-                    break;
-                case 6:
-                    reader.entry(message.traces_by_id, () => reader.fixed64(), () => $root.tensorflow.GraphDebugInfo.StackTrace.decode(reader, reader.uint32()));
-                    break;
                 case 2:
                     reader.entry(message.traces, () => reader.string(), () => $root.tensorflow.GraphDebugInfo.StackTrace.decode(reader, reader.uint32()));
                     break;
-                case 5:
-                    reader.entry(message.name_to_trace_id, () => reader.string(), () => reader.fixed64());
-                    break;
                 default:
                     reader.skipType(tag & 7);
                     break;
@@ -2593,18 +2581,9 @@ $root.tensorflow.GraphDebugInfo = class GraphDebugInfo {
                 case "files":
                     reader.array(message.files, () => reader.string());
                     break;
-                case "frames_by_id":
-                    reader.entry(message.frames_by_id, () => reader.fixed64(), () => $root.tensorflow.GraphDebugInfo.FileLineCol.decodeText(reader));
-                    break;
-                case "traces_by_id":
-                    reader.entry(message.traces_by_id, () => reader.fixed64(), () => $root.tensorflow.GraphDebugInfo.StackTrace.decodeText(reader));
-                    break;
                 case "traces":
                     reader.entry(message.traces, () => reader.string(), () => $root.tensorflow.GraphDebugInfo.StackTrace.decodeText(reader));
                     break;
-                case "name_to_trace_id":
-                    reader.entry(message.name_to_trace_id, () => reader.string(), () => reader.fixed64());
-                    break;
                 default:
                     reader.field(tag, message);
                     break;
@@ -2688,7 +2667,6 @@ $root.tensorflow.GraphDebugInfo.StackTrace = class StackTrace {
 
     constructor() {
         this.file_line_cols = [];
-        this.frame_id = [];
     }
 
     static decode(reader, length) {
@@ -2700,9 +2678,6 @@ $root.tensorflow.GraphDebugInfo.StackTrace = class StackTrace {
                 case 1:
                     message.file_line_cols.push($root.tensorflow.GraphDebugInfo.FileLineCol.decode(reader, reader.uint32()));
                     break;
-                case 2:
-                    message.frame_id = reader.array(message.frame_id, () => reader.fixed64(), tag);
-                    break;
                 default:
                     reader.skipType(tag & 7);
                     break;
@@ -2720,9 +2695,6 @@ $root.tensorflow.GraphDebugInfo.StackTrace = class StackTrace {
                 case "file_line_cols":
                     message.file_line_cols.push($root.tensorflow.GraphDebugInfo.FileLineCol.decodeText(reader));
                     break;
-                case "frame_id":
-                    reader.array(message.frame_id, () => reader.fixed64());
-                    break;
                 default:
                     reader.field(tag, message);
                     break;