mirror of
https://github.com/explosion/spaCy.git
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Fix CLI consistency [ci skip]
This commit is contained in:
Ines Montani
parent
45f13cbf64
commit
6ae83bde0c
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@ -49,10 +49,7 @@ def debug_config_cli(
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import_code(code_path)
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with show_validation_error(config_path):
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config = util.load_config(config_path, overrides=overrides)
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try:
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nlp, _ = util.load_model_from_config(config, auto_fill=auto_fill)
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except ValueError as e:
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msg.fail(str(e), exits=1)
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nlp, _ = util.load_model_from_config(config, auto_fill=auto_fill)
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if auto_fill:
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orig_config = config.to_str()
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filled_config = nlp.config.to_str()
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@ -50,10 +50,7 @@ def debug_model_cli(
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config_overrides = parse_config_overrides(ctx.args)
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with show_validation_error(config_path):
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config = util.load_config(config_path, overrides=config_overrides)
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try:
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nlp, config = util.load_model_from_config(config_path)
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except ValueError as e:
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msg.fail(str(e), exits=1)
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nlp, config = util.load_model_from_config(config_path)
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seed = config["pretraining"]["seed"]
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if seed is not None:
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msg.info(f"Fixing random seed: {seed}")
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@ -82,12 +82,8 @@ def fill_config(
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is_stdout = str(output_file) == "-"
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msg = Printer(no_print=is_stdout)
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with show_validation_error(hint_fill=False):
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with msg.loading("Auto-filling config..."):
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config = util.load_config(base_path)
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try:
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nlp, _ = util.load_model_from_config(config, auto_fill=True)
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except ValueError as e:
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msg.fail(str(e), exits=1)
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config = util.load_config(base_path)
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nlp, _ = util.load_model_from_config(config, auto_fill=True)
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before = config.to_str()
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after = nlp.config.to_str()
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if before == after:
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@ -152,10 +148,7 @@ def init_config(
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require_spacy_transformers(msg)
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with show_validation_error(hint_fill=False):
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config = util.load_config_from_str(base_template)
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try:
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nlp, _ = util.load_model_from_config(config, auto_fill=True)
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except ValueError as e:
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msg.fail(str(e), exits=1)
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nlp, _ = util.load_model_from_config(config, auto_fill=True)
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if use_transformer:
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nlp.config.pop("pretraining", {}) # TODO: solve this better
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msg.good("Auto-filled config with all values")
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@ -16,9 +16,11 @@ menu:
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- ['Project', 'project']
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---
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For a list of available commands, type `spacy --help`.
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<!-- TODO: add notes on autocompletion etc. -->
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spaCy's CLI provides a range of helpful commands for downloading and training
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models, converting data and debugging your config, data and installation. For a
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list of available commands, you can type `python -m spacy --help`. You can also
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add the `--help` flag to any command or subcommand to see the description,
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available arguments and usage.
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## Download {#download}
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@ -41,13 +43,13 @@ the model name to be specified with its version (e.g. `en_core_web_sm-2.2.0`).
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$ python -m spacy download [model] [--direct] [pip args]
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```
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| Argument | Type | Description |
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| ------------------------------------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `model` | positional | Model name, e.g. [`en_core_web_sm`](/models/en#en_core_web_sm). |
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| `--direct`, `-d` | flag | Force direct download of exact model version. |
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| pip args <Tag variant="new">2.1</Tag> | - | Additional installation options to be passed to `pip install` when installing the model package. For example, `--user` to install to the user home directory or `--no-deps` to not install model dependencies. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| **CREATES** | directory | The installed model package in your `site-packages` directory. |
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| Argument | Type | Description |
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| ------------------------------------- | ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `model` | positional | Model name, e.g. [`en_core_web_sm`](/models/en#en_core_web_sm). |
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| `--direct`, `-d` | flag | Force direct download of exact model version. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| pip args <Tag variant="new">2.1</Tag> | option / flag | Additional installation options to be passed to `pip install` when installing the model package. For example, `--user` to install to the user home directory or `--no-deps` to not install model dependencies. |
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| **CREATES** | directory | The installed model package in your `site-packages` directory. |
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## Info {#info}
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@ -189,6 +191,7 @@ $ python -m spacy init model [lang] [output_dir] [--jsonl-loc] [--vectors-loc]
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| `--truncate-vectors`, `-t` <Tag variant="new">2.3</Tag> | option | Number of vectors to truncate to when reading in vectors file. Defaults to `0` for no truncation. |
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| `--prune-vectors`, `-V` | option | Number of vectors to prune the vocabulary to. Defaults to `-1` for no pruning. |
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| `--vectors-name`, `-vn` | option | Name to assign to the word vectors in the `meta.json`, e.g. `en_core_web_md.vectors`. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| **CREATES** | model | A spaCy model containing the vocab and vectors. |
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## Convert {#convert}
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@ -257,34 +260,33 @@ $ python -m spacy debug config [config_path] [--code_path] [--output] [--auto_fi
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<Accordion title="Example output" spaced>
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<!-- TODO: update examples with validation error of final config -->
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```
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✘ Config validation error
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training -> use_gpu field required
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training -> omit_extra_lookups field required
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training -> batch_by field required
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training -> raw_text field required
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training -> tag_map field required
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training -> evaluation_batch_size extra fields not permitted
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training -> vectors extra fields not permitted
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training -> width extra fields not permitted
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training -> dropout field required
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training -> optimizer field required
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training -> optimize extra fields not permitted
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{'gold_preproc': False, 'max_length': 3000, 'limit': 0, 'orth_variant_level': 0.0, 'dropout': 0.1, 'patience': 6000, 'max_epochs': 0, 'max_steps': 100000, 'eval_frequency': 400, 'seed': 0, 'accumulate_gradient': 4, 'width': 768, 'use_pytorch_for_gpu_memory': True, 'scores': ['speed', 'tags_acc', 'uas', 'las', 'ents_f'], 'score_weights': {'las': 0.4, 'ents_f': 0.4, 'tags_acc': 0.2}, 'init_tok2vec': None, 'vectors': None, 'discard_oversize': True, 'evaluation_batch_size': 16, 'batch_size': {'@schedules': 'compounding.v1', 'start': 800, 'stop': 800, 'compound': 1.001}, 'optimizer': {'@optimizers': 'Adam.v1', 'beta1': 0.9, 'beta2': 0.999, 'L2_is_weight_decay': True, 'L2': 0.01, 'grad_clip': 1.0, 'use_averages': False, 'eps': 1e-08, 'learn_rate': {'@schedules': 'warmup_linear.v1', 'warmup_steps': 250, 'total_steps': 20000, 'initial_rate': 5e-05}}}
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{'vectors': 'en_vectors_web_lg', 'seed': 0, 'accumulate_gradient': 1, 'init_tok2vec': None, 'raw_text': None, 'patience': 1600, 'max_epochs': 0, 'max_steps': 20000, 'eval_frequency': 200, 'frozen_components': [], 'optimize': None, 'batcher': {'@batchers': 'batch_by_words.v1', 'discard_oversize': False, 'tolerance': 0.2, 'get_length': None, 'size': {'@schedules': 'compounding.v1', 'start': 100, 'stop': 1000, 'compound': 1.001, 't': 0.0}}, 'dev_corpus': {'@readers': 'spacy.Corpus.v1', 'path': '', 'max_length': 0, 'gold_preproc': False, 'limit': 0}, 'score_weights': {'tag_acc': 0.5, 'dep_uas': 0.25, 'dep_las': 0.25, 'sents_f': 0.0}, 'train_corpus': {'@readers': 'spacy.Corpus.v1', 'path': '', 'max_length': 0, 'gold_preproc': False, 'limit': 0}}
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If your config contains missing values, you can run the 'init fill-config'
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command to fill in all the defaults, if possible:
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python -m spacy init fill-config tmp/starter-config_invalid.cfg --base tmp/starter-config_invalid.cfg
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```
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</Accordion>
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| Argument | Type | Default | Description |
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| --------------------- | ---------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | - | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code_path`, `-c` | option | `None` | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--auto_fill`, `-F` | option | `False` | Whether or not to auto-fill the config with built-in defaults if possible. If `False`, the provided config needs to be complete. |
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| `--output_path`, `-o` | option | `None` | Output path where the filled config can be stored. Use '-' for standard output. |
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| `--diff`, `-D` | option | `False` | Show a visual diff if config was auto-filled. |
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| `--help`, `-h` | flag | `False` | Show help message and available arguments. |
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| overrides | | `None` | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| Argument | Type | Default | Description |
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| --------------------- | ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code_path`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--auto_fill`, `-F` | option | Whether or not to auto-fill the config with built-in defaults if possible. If `False`, the provided config needs to be complete. |
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| `--output_path`, `-o` | option | Output path where the filled config can be stored. Use '-' for standard output. |
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| `--diff`, `-D` | option | `Show a visual diff if config was auto-filled. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | option / flag | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| **PRINTS** | stdout | Config validation errors, if available. |
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### debug data {#debug-data}
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@ -451,15 +453,16 @@ will not be available.
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</Accordion>
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| Argument | Type | Description |
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| -------------------------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--ignore-warnings`, `-IW` | flag | Ignore warnings, only show stats and errors. |
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| `--verbose`, `-V` | flag | Print additional information and explanations. |
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| `--no-format`, `-NF` | flag | Don't pretty-print the results. Use this if you want to write to a file. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| Argument | Type | Description |
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| -------------------------- | ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--ignore-warnings`, `-IW` | flag | Ignore warnings, only show stats and errors. |
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| `--verbose`, `-V` | flag | Print additional information and explanations. |
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| `--no-format`, `-NF` | flag | Don't pretty-print the results. Use this if you want to write to a file. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | option / flag | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| **PRINTS** | stdout | Debugging information. |
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### debug profile {#debug-profile}
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@ -479,11 +482,13 @@ The `profile` command is now available as a subcommand of `spacy debug`.
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$ python -m spacy debug profile [model] [inputs] [--n-texts]
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```
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| Argument | Type | Description |
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| ----------------- | ----------------------------------------------------------------- | ------------------------------------------------------- |
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| `model` | positional | A loadable spaCy model. |
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| `inputs` | positional | Optional path to input file, or `-` for standard input. |
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| `--n-texts`, `-n` | Maximum number of texts to use if available. Defaults to `10000`. |
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| Argument | Type | Description |
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| ----------------- | ---------- | ----------------------------------------------------------------- |
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| `model` | positional | A loadable spaCy model. |
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| `inputs` | positional | Optional path to input file, or `-` for standard input. |
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| `--n-texts`, `-n` | option | Maximum number of texts to use if available. Defaults to `10000`. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| **PRINTS** | stdout | Profiling information for the model. |
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### debug model {#debug-model}
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@ -591,20 +596,21 @@ $ python -m spacy debug model ./config.cfg tagger -l "5,15" -DIM -PAR -P0 -P1 -P
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</Accordion>
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| Argument | Type | Description | Default |
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| ----------------------- | ---------- | ----------------------------------------------------------------------------------------------------- | ------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. | |
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| `component` | positional | Name of the pipeline component of which the model should be analyzed. | |
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| `--layers`, `-l` | option | Comma-separated names of layer IDs to print. | |
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| `--dimensions`, `-DIM` | option | Show dimensions of each layer. | `False` |
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| `--parameters`, `-PAR` | option | Show parameters of each layer. | `False` |
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| `--gradients`, `-GRAD` | option | Show gradients of each layer. | `False` |
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| `--attributes`, `-ATTR` | option | Show attributes of each layer. | `False` |
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| `--print-step0`, `-P0` | option | Print model before training. | `False` |
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| `--print-step1`, `-P1` | option | Print model after initialization. | `False` |
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| `--print-step2`, `-P2` | option | Print model after training. | `False` |
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| `--print-step3`, `-P3` | option | Print final predictions. | `False` |
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| `--help`, `-h` | flag | Show help message and available arguments. | |
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| Argument | Type | Description |
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| ----------------------- | ---------- | ----------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. | |
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| `component` | positional | Name of the pipeline component of which the model should be analyzed. | |
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| `--layers`, `-l` | option | Comma-separated names of layer IDs to print. | |
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| `--dimensions`, `-DIM` | option | Show dimensions of each layer. |
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| `--parameters`, `-PAR` | option | Show parameters of each layer. |
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| `--gradients`, `-GRAD` | option | Show gradients of each layer. |
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| `--attributes`, `-ATTR` | option | Show attributes of each layer. |
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| `--print-step0`, `-P0` | option | Print model before training. |
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| `--print-step1`, `-P1` | option | Print model after initialization. |
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| `--print-step2`, `-P2` | option | Print model after training. |
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| `--print-step3`, `-P3` | option | Print final predictions. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| **PRINTS** | stdout | Debugging information. |
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## Train {#train}
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@ -634,15 +640,15 @@ in the section `[paths]`.
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$ python -m spacy train [config_path] [--output] [--code] [--verbose] [overrides]
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```
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| Argument | Type | Description |
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| ----------------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--output`, `-o` | positional | Directory to store model in. Will be created if it doesn't exist. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--verbose`, `-V` | flag | Show more detailed messages during training. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| **CREATES** | model | The final model and the best model. |
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| Argument | Type | Description |
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| ----------------- | ------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--output`, `-o` | positional | Directory to store model in. Will be created if it doesn't exist. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--verbose`, `-V` | flag | Show more detailed messages during training. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | option / flag | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. |
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| **CREATES** | model | The final model and the best model. |
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## Pretrain {#pretrain new="2.1" tag="experimental"}
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@ -672,17 +678,17 @@ $ python -m spacy pretrain [texts_loc] [output_dir] [config_path]
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[--code] [--resume-path] [--epoch-resume] [overrides]
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```
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| Argument | Type | Description |
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| ----------------------- | ---------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `texts_loc` | positional | Path to JSONL file with raw texts to learn from, with text provided as the key `"text"` or tokens as the key `"tokens"`. [See here](/api/data-formats#pretrain) for details. |
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| `output_dir` | positional | Directory to write models to on each epoch. |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--resume-path`, `-r` | option | Path to pretrained weights from which to resume pretraining. |
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| `--epoch-resume`, `-er` | option | The epoch to resume counting from when using `--resume-path`. Prevents unintended overwriting of existing weight files. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--training.use_gpu 1`. |
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| **CREATES** | weights | The pretrained weights that can be used to initialize `spacy train`. |
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| Argument | Type | Description |
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| ----------------------- | ------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `texts_loc` | positional | Path to JSONL file with raw texts to learn from, with text provided as the key `"text"` or tokens as the key `"tokens"`. [See here](/api/data-formats#pretrain) for details. |
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| `output_dir` | positional | Directory to write models to on each epoch. |
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| `config_path` | positional | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. |
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| `--code`, `-c` | option | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-models) for new architectures. |
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| `--resume-path`, `-r` | option | Path to pretrained weights from which to resume pretraining. |
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| `--epoch-resume`, `-er` | option | The epoch to resume counting from when using `--resume-path`. Prevents unintended overwriting of existing weight files. |
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| `--help`, `-h` | flag | Show help message and available arguments. |
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| overrides | option / flag | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--training.use_gpu 1`. |
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| **CREATES** | weights | The pretrained weights that can be used to initialize `spacy train`. |
|
||||
|
||||
## Evaluate {#evaluate new="2"}
|
||||
|
||||
|
|
@ -710,6 +716,7 @@ $ python -m spacy evaluate [model] [data_path] [--output] [--gold-preproc]
|
|||
| `--gpu-id`, `-g` | option | GPU to use, if any. Defaults to `-1` for CPU. |
|
||||
| `--displacy-path`, `-dp` | option | Directory to output rendered parses as HTML. If not set, no visualizations will be generated. |
|
||||
| `--displacy-limit`, `-dl` | option | Number of parses to generate per file. Defaults to `25`. Keep in mind that a significantly higher number might cause the `.html` files to render slowly. |
|
||||
| `--help`, `-h` | flag | Show help message and available arguments. |
|
||||
| **CREATES** | `stdout`, JSON, HTML | Training results and optional metrics and visualizations. |
|
||||
|
||||
## Package {#package}
|
||||
|
|
@ -849,6 +856,7 @@ $ python -m spacy project run [subcommand] [project_dir] [--force] [--dry]
|
|||
| `--force`, `-F` | flag | Force re-running steps, even if nothing changed. |
|
||||
| `--dry`, `-D` | flag | Perform a dry run and don't execute scripts. |
|
||||
| `--help`, `-h` | flag | Show help message and available arguments. |
|
||||
| **EXECUTES** | script | The command defined in the `project.yml`. |
|
||||
|
||||
### project dvc {#project-dvc}
|
||||
|
||||
|
|
@ -882,10 +890,11 @@ $ python -m spacy project dvc [project_dir] [workflow] [--force] [--verbose]
|
|||
> python -m spacy project dvc all
|
||||
> ```
|
||||
|
||||
| Argument | Type | Description |
|
||||
| ----------------- | ---------- | --------------------------------------------------------------------------------- |
|
||||
| `project_dir` | positional | Path to project directory. Defaults to current working directory. |
|
||||
| `workflow` | positional | Name of workflow defined in `project.yml`. Defaults to first workflow if not set. |
|
||||
| `--force`, `-F` | flag | Force-updating config file. |
|
||||
| `--verbose`, `-V` | flag | Print more output generated by DVC. |
|
||||
| `--help`, `-h` | flag | Show help message and available arguments. |
|
||||
| Argument | Type | Description |
|
||||
| ----------------- | ---------- | --------------------------------------------------------------------------------------------- |
|
||||
| `project_dir` | positional | Path to project directory. Defaults to current working directory. |
|
||||
| `workflow` | positional | Name of workflow defined in `project.yml`. Defaults to first workflow if not set. |
|
||||
| `--force`, `-F` | flag | Force-updating config file. |
|
||||
| `--verbose`, `-V` | flag | Print more output generated by DVC. |
|
||||
| `--help`, `-h` | flag | Show help message and available arguments. |
|
||||
| **CREATES** | file | A `dvc.yaml` file in the project directory, based on the steps defined in the given workflow. |
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user