mirror of
https://github.com/modelscope/modelscope.git
synced 2026-09-01 19:49:03 +02:00
Fix some words (#141)
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@@ -45,7 +45,7 @@ for i in "$@"; do
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;;
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--modelscope=*)
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modelscope_version="${i#*=}"
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shift # cudatoolkit for pytorch
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shift # modelscope version
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;;
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--test)
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run_ci_test=True
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@@ -65,7 +65,7 @@ for i in "$@"; do
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;;
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--push)
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is_push=True
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shift # is dsw, will set dsw cache location
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shift # option for push image to remote repo
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;;
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--help)
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usage
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@@ -126,7 +126,7 @@ echo "$is_dsw"
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if [ "$is_dsw" == "False" ]; then
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echo "Not DSW image"
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else
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echo "Building dsw image well need set ModelScope lib cache location."
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echo "Building dsw image will need set ModelScope lib cache location."
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docker_file_content="${docker_file_content} \nENV MODELSCOPE_CACHE=/mnt/workspace/.cache/modelscope"
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fi
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if [ "$is_ci_test" == "True" ]; then
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@@ -10,7 +10,7 @@ We use the following toolsseed isortseed isortseed isort for linting and formatt
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Style configurations of yapf and isort can be found in [setup.cfg](../../setup.cfg).
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We use [pre-commit hook](https://pre-commit.com/) that checks and formats for `flake8`, `yapf`, `seed-isort-config`, `isort`, `trailing whitespaces`,
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fixes `end-of-files`, sorts `requirments.txt` automatically on every commit.
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fixes `end-of-files`, sorts `requirements.txt` automatically on every commit.
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The config for a pre-commit hook is stored in [.pre-commit-config](../../.pre-commit-config.yaml).
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After you clone the repository, you will need to install initialize pre-commit hook.
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```bash
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@@ -81,7 +81,7 @@ exists in the environment and unset it.
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python tests/path/to/your_test.py
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```
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2. Remember to run core tests in local environment before start a codereview, by default it will
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2. Remember to run core tests in local environment before start a code review, by default it will
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only run test cases with level 0.
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```bash
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make tests
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@@ -153,7 +153,7 @@ git pull origin branch_name
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git add .
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git commit -m "[to #42322933] my commit message"
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```
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note: you may replace [to #42322933] with your own aone issue id (if any).
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note: you may replace [to #42322933] with your own alone issue id (if any).
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4. Push your change:
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```shell
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git push --set-upstream origin dev/my-dev-branch
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@@ -68,7 +68,7 @@ class CsanmtForTranslationExporter(TfModelExporter):
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dummy_inputs = self.generate_dummy_inputs()
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with tf.Session(graph=tf.Graph()) as sess:
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# Restore model from the saved_modle file, that is exported by TensorFlow estimator.
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# Restore model from the saved_model file, that is exported by TensorFlow estimator.
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MetaGraphDef = tf.saved_model.loader.load(sess, ['serve'],
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output_dir)
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@@ -181,5 +181,5 @@ class CsanmtForTranslationExporter(TfModelExporter):
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def export_onnx(self, output_dir: str, opset=13, **kwargs):
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raise NotImplementedError(
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'csanmt model does not support onnx format, consider using savedmodel instead.'
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'csanmt model does not support onnx format, consider using saved model instead.'
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)
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@@ -125,7 +125,7 @@ class HubApi:
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visibility: Optional[int] = ModelVisibility.PUBLIC,
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license: Optional[str] = Licenses.APACHE_V2,
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chinese_name: Optional[str] = None) -> str:
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"""Create model repo at ModelScopeHub.
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"""Create model repo at ModelScope Hub.
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Args:
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model_id (str): The model id
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@@ -8,7 +8,7 @@ from typing import Any
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from modelscope.utils.logger import get_logger
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logger = get_logger()
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SYSTEM_TRAINER_BUILDER_FINCTION_NAME = 'build_trainer'
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SYSTEM_TRAINER_BUILDER_FUNCTION_NAME = 'build_trainer'
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SYSTEM_TRAINER_BUILDER_PARAMETER_NAME = 'name'
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SYSTEM_PIPELINE_BUILDER_FUNCTION_NAME = 'pipeline'
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SYSTEM_PIPELINE_BUILDER_PARAMETER_NAME = 'task'
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@@ -263,12 +263,12 @@ def analysis_trainer_test_suite(test_file, modified_register_modules):
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# get test file global function and test class
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test_suite_root = ast.parse(src, test_file)
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test_suite_analyzer = AnalysisTestFile(
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test_file, SYSTEM_TRAINER_BUILDER_FINCTION_NAME)
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test_file, SYSTEM_TRAINER_BUILDER_FUNCTION_NAME)
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test_suite_analyzer.visit(test_suite_root)
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for test_class in test_suite_analyzer.test_classes:
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test_class_analyzer = AnalysisTestClass(
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test_class, SYSTEM_TRAINER_BUILDER_FINCTION_NAME)
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test_class, SYSTEM_TRAINER_BUILDER_FUNCTION_NAME)
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test_class_analyzer.visit(test_class)
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for test_method in test_class_analyzer.test_methods:
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for idx, custom_global_builder in enumerate(
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@@ -278,7 +278,7 @@ def analysis_trainer_test_suite(test_file, modified_register_modules):
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test_method, test_class_analyzer.setup_variables,
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custom_global_builder,
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test_suite_analyzer.custom_global_builder_calls[idx],
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SYSTEM_TRAINER_BUILDER_FINCTION_NAME,
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SYSTEM_TRAINER_BUILDER_FUNCTION_NAME,
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SYSTEM_TRAINER_BUILDER_PARAMETER_NAME)
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if trainer_name is not None:
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tested_trainers.append(trainer_name)
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@@ -289,14 +289,14 @@ def analysis_trainer_test_suite(test_file, modified_register_modules):
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test_method, test_class_analyzer.setup_variables,
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custom_class_method_builder,
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test_class_analyzer.custom_class_method_builder_calls[idx],
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SYSTEM_TRAINER_BUILDER_FINCTION_NAME,
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SYSTEM_TRAINER_BUILDER_FUNCTION_NAME,
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SYSTEM_TRAINER_BUILDER_PARAMETER_NAME)
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if trainer_name is not None:
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tested_trainers.append(trainer_name)
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trainer_name = get_builder_parameter_value(
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test_method, test_class_analyzer.setup_variables, None, None,
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SYSTEM_TRAINER_BUILDER_FINCTION_NAME,
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SYSTEM_TRAINER_BUILDER_FUNCTION_NAME,
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SYSTEM_TRAINER_BUILDER_PARAMETER_NAME
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) # direct call the build_trainer
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if trainer_name is not None:
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