Revision 80b13c0497863a917b8205a21564fcd15b50611c authored by Jean Kossaifi on 16 August 2021, 18:57:16 UTC, committed by GitHub on 16 August 2021, 18:57:16 UTC
Gradient of the difference norm between a CP and dense tensor
Makefile
# Automate testing etc
BACKEND?='numpy'
.PHONY: all test install clean debug
all: install test
install:
pip install -e .
debug:
TENSORLY_BACKEND=$(BACKEND) pytest -v --pdb tensorly
test:
TENSORLY_BACKEND=$(BACKEND) pytest -v tensorly
test-all:
TENSORLY_BACKEND='numpy' pytest -v tensorly
TENSORLY_BACKEND='cupy' pytest -v tensorly
TENSORLY_BACKEND='pytorch' pytest -v tensorly
TENSORLY_BACKEND='mxnet' pytest -v tensorly
TENSORLY_BACKEND='jax' pytest -v tensorly
TENSORLY_BACKEND='tensorflow' pytest -v tensorly
test-coverage:
TENSORLY_BACKEND=$(BACKEND) pytest -v --cov tensorly tensorly
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