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I was trying to run notebooks/community/prediction/custom_prediction_routines/SDK_Pytorch_Custom_Predict.ipynb
On the step
the execution of
local_model = LocalModel.build_cpr_model( USER_SRC_DIR, f"{REGION}-docker.pkg.dev/{PROJECT_ID}/{REPOSITORY}/{IMAGE}", predictor=CustomPyTorchPredictor, requirements_path=os.path.join(USER_SRC_DIR, "requirements.txt"), )
returns an error "FileNotFoundError: [Errno 2] No such file or directory: 'docker'" See details below.
/opt/conda/lib/python3.10/subprocess.py:955: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used self.stdin = io.open(p2cwrite, 'wb', bufsize) /opt/conda/lib/python3.10/subprocess.py:961: RuntimeWarning: line buffering (buffering=1) isn't supported in binary mode, the default buffer size will be used self.stdout = io.open(c2pread, 'rb', bufsize) --------------------------------------------------------------------------- FileNotFoundError Traceback (most recent call last) Cell In[21], line 7 3 from google.cloud.aiplatform.prediction import LocalModel 4 from src_dir_pytorch_tracking.predictor import \ 5 CustomPyTorchPredictor # Update this path as the variable $USER_SRC_DIR to import the custom predictor. ----> 7 local_model = LocalModel.build_cpr_model( 8 USER_SRC_DIR, 9 f"{REGION}-docker.pkg.dev/{PROJECT_ID}/{REPOSITORY}/{IMAGE}", 10 predictor=CustomPyTorchPredictor, 11 requirements_path=os.path.join(USER_SRC_DIR, "reqs.txt"), 12 ) File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/prediction/local_model.py:381, in LocalModel.build_cpr_model(cls, src_dir, output_image_uri, predictor, handler, base_image, requirements_path, extra_packages, no_cache) 376 environment_variables["PREDICTOR_CLASS"] = predictor_class 378 is_prebuilt_prediction_image = helpers.is_prebuilt_prediction_container_uri( 379 base_image 380 ) --> 381 _ = build.build_image( 382 base_image, 383 src_dir, 384 output_image_uri, 385 python_module=_DEFAULT_PYTHON_MODULE, 386 requirements_path=requirements_path, 387 extra_requirements=_DEFAULT_SDK_REQUIREMENTS, 388 extra_packages=extra_packages, 389 exposed_ports=[DEFAULT_HTTP_PORT], 390 environment_variables=environment_variables, 391 pip_command="pip3" if is_prebuilt_prediction_image else "pip", 392 python_command="python3" if is_prebuilt_prediction_image else "python", 393 no_cache=no_cache, 394 ) 396 container_spec = gca_model_compat.ModelContainerSpec( 397 image_uri=output_image_uri, 398 predict_route=DEFAULT_PREDICT_ROUTE, 399 health_route=DEFAULT_HEALTH_ROUTE, 400 ) 402 return cls(serving_container_spec=container_spec) File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/docker_utils/build.py:533, in build_image(base_image, host_workdir, output_image_name, python_module, requirements_path, extra_requirements, setup_path, extra_packages, container_workdir, container_home, extra_dirs, exposed_ports, pip_command, python_command, no_cache, **kwargs) 530 joined_command = " ".join(command) 531 _logger.info("Running command: {}".format(joined_command)) --> 533 return_code = local_util.execute_command( 534 command, 535 input_str=dockerfile, 536 ) 537 if return_code == 0: 538 return Image(output_image_name, home_dir, work_dir) File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/docker_utils/local_util.py:45, in execute_command(cmd, input_str) 26 def execute_command( 27 cmd: List[str], 28 input_str: Optional[str] = None, 29 ) -> int: 30 """Executes commands in subprocess. 31 32 Executes the supplied command with the supplied standard input string, streams (...) 43 Return code of the process. 44 """ ---> 45 with subprocess.Popen( 46 cmd, 47 stdin=subprocess.PIPE, 48 stdout=subprocess.PIPE, 49 stderr=subprocess.STDOUT, 50 universal_newlines=False, 51 bufsize=1, 52 ) as p: 53 if input_str: 54 p.stdin.write(input_str.encode("utf-8")) File /opt/conda/lib/python3.10/subprocess.py:971, in Popen.__init__(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, user, group, extra_groups, encoding, errors, text, umask, pipesize) 967 if self.text_mode: 968 self.stderr = io.TextIOWrapper(self.stderr, 969 encoding=encoding, errors=errors) --> 971 self._execute_child(args, executable, preexec_fn, close_fds, 972 pass_fds, cwd, env, 973 startupinfo, creationflags, shell, 974 p2cread, p2cwrite, 975 c2pread, c2pwrite, 976 errread, errwrite, 977 restore_signals, 978 gid, gids, uid, umask, 979 start_new_session) 980 except: 981 # Cleanup if the child failed starting. 982 for f in filter(None, (self.stdin, self.stdout, self.stderr)): File /opt/conda/lib/python3.10/subprocess.py:1863, in Popen._execute_child(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, restore_signals, gid, gids, uid, umask, start_new_session) 1861 if errno_num != 0: 1862 err_msg = os.strerror(errno_num) -> 1863 raise child_exception_type(errno_num, err_msg, err_filename) 1864 raise child_exception_type(err_msg) FileNotFoundError: [Errno 2] No such file or directory: 'docker'
A successful run of notebooks/community/prediction/custom_prediction_routines/SDK_Pytorch_Custom_Predict.ipynb
Error : FileNotFoundError: [Errno 2] No such file or directory: 'docker'
The text was updated successfully, but these errors were encountered:
+1 I'm facing the same issue
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I was trying to run notebooks/community/prediction/custom_prediction_routines/SDK_Pytorch_Custom_Predict.ipynb
On the step
Build your custom container,
the execution of
returns an error "FileNotFoundError: [Errno 2] No such file or directory: 'docker'"
See details below.
Expected Behavior
A successful run of notebooks/community/prediction/custom_prediction_routines/SDK_Pytorch_Custom_Predict.ipynb
Actual Behavior
Error : FileNotFoundError: [Errno 2] No such file or directory: 'docker'
Steps to Reproduce the Problem
Specifications
The text was updated successfully, but these errors were encountered: