message: micro: replace ReportError() with TF_LITE_KERNEL_LOG macro
  Replace naked calls to ReportError() with the TF_LITE_KERNEL_LOG
  macro to satisfy an internal CI check, even though this file is
  not presently included in the build.
diff: @@ -41,7 +41,8 @@ TfLiteStatus ResizeOutputImpl(TfLiteContext* context, const TfLiteTensor* dims,
  T data = GetTensorData<T>(dims)[i];
  if (data < 0) {
  TfLiteIntArrayFree(output_shape);
  - context->ReportError(context, "Fill dimensions must be >= 0", dims->type);
  + TF_LITE_KERNEL_LOG(context, "Fill dimensions must be >= 0",
  + TfLiteTypeGetName(dims->type));
  return kTfLiteError;
  }
  output_shape->data[i] = data;
  @@ -57,11 +58,10 @@ TfLiteStatus ResizeOutput(TfLiteContext* context, const TfLiteTensor* dims,
  case kTfLiteInt64:
  return ResizeOutputImpl<int64_t>(context, dims, output);
  default:
  - context->ReportError(
  + TF_LITE_KERNEL_LOG(
  context,
  - "Fill only currently supports int32, int64 for input 0, "
  - "got %d.",
  - dims->type);
  + "Fill only currently supports int32, int64 for input 0, got %s.",
  + TfLiteTypeGetName(dims->type));
  return kTfLiteError;
  }
  }
  @@ -148,11 +148,11 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
  FillString(value, output);
  break;
  default:
  - context->ReportError(
  + TF_LITE_KERNEL_LOG(
  context,
  "Fill only currently supports int32, int64, float32, bool, string "
  "for input 1, got %d.",
  - value->type);
  + TfLiteTypeGetName(value->type));
  return kTfLiteError;
  }
  #undef TF_LITE_FILL
  