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set DATA_VALIDATION to False for debug_model (upgrade thinc)
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35dd91a671
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d5d7fe5968
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@ -6,7 +6,7 @@ requires = [
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"cymem>=2.0.2,<2.1.0",
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"cymem>=2.0.2,<2.1.0",
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"preshed>=3.0.2,<3.1.0",
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"preshed>=3.0.2,<3.1.0",
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"murmurhash>=0.28.0,<1.1.0",
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"murmurhash>=0.28.0,<1.1.0",
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"thinc>=8.0.0a19,<8.0.0a30",
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"thinc>=8.0.0a21,<8.0.0a30",
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"blis>=0.4.0,<0.5.0",
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"blis>=0.4.0,<0.5.0",
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"pytokenizations",
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"pytokenizations",
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"smart_open>=2.0.0,<3.0.0"
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"smart_open>=2.0.0,<3.0.0"
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@ -1,7 +1,7 @@
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# Our libraries
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# Our libraries
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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thinc>=8.0.0a19,<8.0.0a30
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thinc>=8.0.0a21,<8.0.0a30
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blis>=0.4.0,<0.5.0
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blis>=0.4.0,<0.5.0
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ml_datasets>=0.1.1
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ml_datasets>=0.1.1
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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@ -34,13 +34,13 @@ setup_requires =
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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thinc>=8.0.0a19,<8.0.0a30
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thinc>=8.0.0a21,<8.0.0a30
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install_requires =
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install_requires =
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# Our libraries
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# Our libraries
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murmurhash>=0.28.0,<1.1.0
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murmurhash>=0.28.0,<1.1.0
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cymem>=2.0.2,<2.1.0
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cymem>=2.0.2,<2.1.0
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preshed>=3.0.2,<3.1.0
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preshed>=3.0.2,<3.1.0
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thinc>=8.0.0a19,<8.0.0a30
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thinc>=8.0.0a21,<8.0.0a30
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blis>=0.4.0,<0.5.0
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blis>=0.4.0,<0.5.0
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wasabi>=0.7.1,<1.1.0
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wasabi>=0.7.1,<1.1.0
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srsly>=2.1.0,<3.0.0
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srsly>=2.1.0,<3.0.0
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@ -2,7 +2,7 @@ from typing import Dict, Any, Optional
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from pathlib import Path
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from pathlib import Path
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from wasabi import msg
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from wasabi import msg
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from thinc.api import require_gpu, fix_random_seed, set_dropout_rate, Adam, Config
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from thinc.api import require_gpu, fix_random_seed, set_dropout_rate, Adam, Config
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from thinc.api import Model
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from thinc.api import Model, DATA_VALIDATION
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import typer
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import typer
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from ._util import Arg, Opt, debug_cli, show_validation_error, parse_config_overrides
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from ._util import Arg, Opt, debug_cli, show_validation_error, parse_config_overrides
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@ -90,7 +90,9 @@ def debug_model(model: Model, *, print_settings: Optional[Dict[str, Any]] = None
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# STEP 1: Initializing the model and printing again
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# STEP 1: Initializing the model and printing again
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Y = _get_output(model.ops.xp)
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Y = _get_output(model.ops.xp)
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_set_output_dim(nO=Y.shape[-1], model=model)
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_set_output_dim(nO=Y.shape[-1], model=model)
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DATA_VALIDATION.set(False) # The output vector might differ from the official type of the output layer
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model.initialize(X=_get_docs(), Y=Y)
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model.initialize(X=_get_docs(), Y=Y)
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DATA_VALIDATION.set(True)
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if print_settings.get("print_after_init"):
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if print_settings.get("print_after_init"):
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msg.info(f"After initialization:")
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msg.info(f"After initialization:")
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_print_model(model, print_settings)
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_print_model(model, print_settings)
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