41 lines
1.8 KiB
Python
41 lines
1.8 KiB
Python
from keras_core.backend.config import backend
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if backend() == "torch":
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# When using the torch backend,
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# torch needs to be imported first, otherwise it will segfault
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# upon import.
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import torch
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from keras_core.backend.common.keras_tensor import KerasTensor
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from keras_core.backend.common.keras_tensor import any_symbolic_tensors
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from keras_core.backend.common.keras_tensor import is_keras_tensor
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from keras_core.backend.common.stateless_scope import StatelessScope
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from keras_core.backend.common.stateless_scope import get_stateless_scope
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from keras_core.backend.common.stateless_scope import in_stateless_scope
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from keras_core.backend.common.variables import AutocastScope
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from keras_core.backend.common.variables import get_autocast_scope
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from keras_core.backend.common.variables import is_float_dtype
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from keras_core.backend.common.variables import standardize_dtype
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from keras_core.backend.common.variables import standardize_shape
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from keras_core.backend.config import epsilon
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from keras_core.backend.config import floatx
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from keras_core.backend.config import image_data_format
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from keras_core.backend.config import set_epsilon
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from keras_core.backend.config import set_floatx
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from keras_core.backend.config import set_image_data_format
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from keras_core.backend.config import standardize_data_format
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from keras_core.utils.io_utils import print_msg
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# Import backend functions.
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if backend() == "tensorflow":
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print_msg("Using TensorFlow backend")
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from keras_core.backend.tensorflow import * # noqa: F403
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elif backend() == "jax":
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print_msg("Using JAX backend.")
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from keras_core.backend.jax import * # noqa: F403
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elif backend() == "torch":
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print_msg("Using PyTorch backend.")
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from keras_core.backend.torch import * # noqa: F403
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else:
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raise ValueError(f"Unable to import backend : {backend()}")
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