{"record":{"id":"49941e89fcfa2782","repo":"tensorflow/models","slug":"no-gradients-provided-for-any-variable-s","errorCode":null,"errorMessage":"No gradients provided for any variable: %s.","messagePattern":"No gradients provided for any variable: (.+?)\\.","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/modeling/grad_utils.py","lineNumber":36,"sourceCode":"\nimport tensorflow as tf, tf_keras\n\n\ndef _filter_grads(grads_and_vars):\n  \"\"\"Filter out iterable with grad equal to None.\"\"\"\n  grads_and_vars = tuple(grads_and_vars)\n  if not grads_and_vars:\n    return grads_and_vars\n  filtered = []\n  vars_with_empty_grads = []\n  for grad, var in grads_and_vars:\n    if grad is None:\n      vars_with_empty_grads.append(var)\n    else:\n      filtered.append((grad, var))\n  filtered = tuple(filtered)\n  if not filtered:\n    raise ValueError(\"No gradients provided for any variable: %s.\" %\n                     ([v.name for _, v in grads_and_vars],))\n  if vars_with_empty_grads:\n    logging.warning(\n        (\"Gradients do not exist for variables %s when minimizing the loss.\"),\n        ([v.name for v in vars_with_empty_grads]))\n  return filtered\n\n\ndef _filter_and_allreduce_gradients(grads_and_vars,\n                                    allreduce_precision=\"float32\",\n                                    bytes_per_pack=0):\n  \"\"\"Filter None grads and then allreduce gradients in specified precision.\n\n  This utils function is used when users intent to explicitly allreduce\n  gradients and customize gradients operations before and after allreduce.\n  The allreduced gradients are then passed to optimizer.apply_gradients(\n  experimental_aggregate_gradients=False).\n","sourceCodeStart":18,"sourceCodeEnd":54,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/modeling/grad_utils.py#L18-L54","documentation":"Error \"No gradients provided for any variable: %s.\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/modeling/grad_utils.py:36 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}