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Alejandro L. · Reviewed almost 2 years ago

got the following errors while running WALS locally and on the cloud: Traceback (most recent call last): File "/opt/conda/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/opt/conda/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/jupyter/training-data-analyst/courses/machine_learning/deepdive2/recommendation_systems/labs/walsmodel/task.py", line 98, in <module> model.train_and_evaluate(arguments) File "/home/jupyter/training-data-analyst/courses/machine_learning/deepdive2/recommendation_systems/labs/walsmodel/model.py", line 198, in train_and_evaluate learn_runner.run(experiment_fn = experiment_fn, output_dir = args["output_dir"]) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 324, in new_func return func(*args, **kwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 225, in run return _execute_schedule(experiment, schedule) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/learn_runner.py", line 52, in _execute_schedule return task() File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/experiment.py", line 688, in train_and_evaluate export_results = self._maybe_export(eval_result) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/experiment.py", line 809, in _maybe_export eval_result=eval_result)) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/export_strategy.py", line 110, in export return self.export_fn(estimator, export_path, **kwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/utils/saved_model_export_utils.py", line 479, in export_fn strip_default_attrs=strip_default_attrs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1400, in export_savedmodel model_fn_lib.ModeKeys.INFER) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/learn/python/learn/estimators/estimator.py", line 1228, in _call_model_fn model_fn_results = self._model_fn(features, labels, **kwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/factorization/python/ops/wals.py", line 338, in _wals_factorization_model_function get_col_projection) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 1224, in cond orig_res_t, res_t = context_t.BuildCondBranch(true_fn) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 1061, in BuildCondBranch original_result = fn() File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/factorization/python/ops/wals.py", line 326, in get_row_projection transpose_input=False) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/factorization/python/ops/factorization_ops.py", line 773, in project_row_factors row_weights=projection_weights)[0] File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/factorization/python/ops/factorization_ops.py", line 934, in _process_input_helper lambda: math_ops.cast(row_weights, dtypes.float32)) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 1224, in cond orig_res_t, res_t = context_t.BuildCondBranch(true_fn) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/control_flow_ops.py", line 1061, in BuildCondBranch original_result = fn() File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/contrib/factorization/python/ops/factorization_ops.py", line 933, in <lambda> lambda: (array_ops.ones([num_indices]) * row_weights), File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 2560, in ones output = _constant_if_small(one, shape, dtype, name) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/ops/array_ops.py", line 2295, in _constant_if_small if np.prod(shape) < 1000: File "<__array_function__ internals>", line 6, in prod File "/opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 3052, in prod keepdims=keepdims, initial=initial, where=where) File "/opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py", line 86, in _wrapreduction return ufunc.reduce(obj, axis, dtype, out, **passkwargs) File "/opt/conda/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py", line 736, in __array__ " array.".format(self.name)) NotImplementedError: Cannot convert a symbolic Tensor (cond_1/strided_slice_4:0) to a numpy array. CommandException: 1 files/objects could not be removed. ERROR: (gcloud.ai-platform.jobs.submit.training) HttpError accessing <https://ml.googleapis.com/v1/projects/qwiklabs-gcp-00-f7ed91c5a0f0/jobs?alt=json>: response: <{'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'content-encoding': 'gzip', 'date': 'Tue, 25 Jun 2024 14:05:15 GMT', 'server': 'ESF', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'status': 429}>, content <{ "error": { "code": 429, "message": "Quota failure for project qwiklabs-gcp-00-f7ed91c5a0f0. The request for 1 K80 accelerators exceeds the allowed maximum of 0 A100, 0 K80, 0 P100, 0 P4, 0 T4, 0 TPU_V2, 0 TPU_V2_POD, 0 TPU_V3, 0 TPU_V3_POD, 0 V100 accelerators. To read more about Cloud ML Engine quota, see https://cloud.google.com/ml-engine/quotas.", "status": "RESOURCE_EXHAUSTED", "details": [ { "@type": "type.googleapis.com/google.rpc.QuotaFailure", "violations": [ { "subject": "qwiklabs-gcp-00-f7ed91c5a0f0", "description": "The request for 1 K80 accelerators exceeds the allowed maximum of 0 A100, 0 K80, 0 P100, 0 P4, 0 T4, 0 TPU_V2, 0 TPU_V2_POD, 0 TPU_V3, 0 TPU_V3_POD, 0 V100 accelerators." } ] } ] } } > This may be due to network connectivity issues. Please check your network settings, and the status of the service you are trying to reach.

Pablo V. · Reviewed almost 2 years ago

syed n. · Reviewed almost 2 years ago

Khemraj S. · Reviewed almost 2 years ago

vijaysagar c. · Reviewed almost 2 years ago

Nived P. · Reviewed almost 2 years ago

Koby C. · Reviewed almost 2 years ago

akash k. · Reviewed almost 2 years ago

Nataliia R. · Reviewed almost 2 years ago

Clodshell timeout so frequently

Surender A. · Reviewed almost 2 years ago