in cdk-project/lib/images/codebuild-image/python/src/notebooks/kernels.py [0:0]
def kernel_type_for(notebook):
"""Classify the general kernel type for a given notebook using the kernel information in the metadata.
Args:
notebook (Path): The path to the notebook for which to determine the kernel type.
Returns:
str: The kernel type (eg. "MXNet", "PyTorch", "TensorFlow 1", "TensorFlow 2", "Spark", or "Data Science")
"""
kernel_name = parse.kernel_for(notebook)
if kernel_name:
if any(
name in kernel_name
for name in (
"MXNet",
"mxnet",
"conda_mxnet_latest_p37",
"conda_mxnet_p27",
"conda_mxnet_p36",
)
):
return "MXNet"
elif any(
name in kernel_name
for name in (
"PyTorch",
"pytorch",
"conda_pytorch_latest_p36",
"conda_pytorch_p27",
"conda_pytorch_p36",
)
):
return "PyTorch"
elif any(
name in kernel_name
for name in (
"TensorFlow 1",
"conda_tensorflow_p27",
"conda_tensorflow_p36",
"tensorflow_p36",
)
):
return "TensorFlow 1"
elif any(
name in kernel_name
for name in ("TensorFlow 2", "conda_tensorflow2_p36", "tensorflow2_p36")
):
return "TensorFlow 2"
elif any(name in kernel_name for name in ("SparkMagic", "PySpark", "pysparkkernel")):
return "Spark"
elif kernel_name == "R":
return "R"
return "Data Science"