NumPy is an efficient multi-dimensional container of generic data.
It uses strong typing in order to provide fast data processing in
Python. The NumPy interface will allow sophisticated analysis of
tracing data via scripts, but it also opens the door for
exposing the kernel tracing data to the instruments provided by
the scientific toolkit of Python (matplotlib, scikit-learn) or
maybe even PyTorch and TensorFlow in the future.
Disclaimer: I am not very good in Python. Please check as carefully
as possible :-)
Yordan Karadzhov (7):
kernel-shark: kshark_string_config_alloc() must take no arguments
kernel-shark: Add new dataloading method to be used by the NumPu
interface
kernel-shark: Prepare for building the NumPy interface
kernel-shark: Add the core components of the NumPy API
kernel-shark: Add Numpy Interface for processing of tracing data
kernel-shark: Add automatic building of the NumPy interface
kernel-shark: Add basic example demonstrating the NumPy interface
kernel-shark/CMakeLists.txt | 3 +
kernel-shark/README | 12 +-
kernel-shark/bin/sched_wakeup.py | 96 +++++++
kernel-shark/build/py/libkshark_wrapper.pyx | 264 ++++++++++++++++++++
kernel-shark/build/py/np_setup.py | 87 +++++++
kernel-shark/build/py/pybuild.sh | 26 ++
kernel-shark/src/CMakeLists.txt | 39 +++
kernel-shark/src/libkshark-configio.c | 2 +-
kernel-shark/src/libkshark-py.c | 176 +++++++++++++
kernel-shark/src/libkshark.c | 128 ++++++++++
kernel-shark/src/libkshark.h | 9 +-
11 files changed, 838 insertions(+), 4 deletions(-)
create mode 100755 kernel-shark/bin/sched_wakeup.py
create mode 100644 kernel-shark/build/py/libkshark_wrapper.pyx
create mode 100644 kernel-shark/build/py/np_setup.py
create mode 100755 kernel-shark/build/py/pybuild.sh
create mode 100644 kernel-shark/src/libkshark-py.c
--
2.19.1
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