Notebooks Coverage

Report on last executions.

100% 2022-01-13

index	coverage	exe time	last execution	name	title	success	time	nb cells	nb runs	nb valid
0	100%	326.422	2022-01-07	notebooks/einsum_decomposition.ipynb	Einsum decomposition	True	330.503	37	37	37
1	100%	143.725	2022-01-07	notebooks/lightgbm_double.ipynb	Lightgbm, double, discrepencies	True	147.606	20	20	20
2	100%	15.086	2022-01-07	notebooks/numpy_api_onnx_ccl.ipynb	Introduction to a numpy API for ONNX: CustomClassifier	True	18.987	19	19	19
3	100%	97.681	2022-01-07	notebooks/numpy_api_onnx_ftr.ipynb	Introduction to a numpy API for ONNX: FunctionTransformer	True	101.527	33	33	33
4	100%	28.333	2022-01-07	notebooks/onnx_discrepencies.ipynb	Discrepencies with ONNX	True	32.259	40	40	40
5	100%	15.979	2022-01-07	notebooks/onnx_fft.ipynb	ONNX and FFT	True	20.149	38	38	38
6	100%	23.046	2022-01-07	notebooks/onnx_float32_and_64.ipynb	ONNX graph, single or double floats	True	26.934	31	31	31
7	100%	113.360	2022-01-07	notebooks/onnx_float_double_skl_decision_trees.ipynb	Tricky detail when converting a random forest from scikit-learn into ONNX	True	117.244	33	33	33
8	100%	209.645	2022-01-07	notebooks/onnx_node_time.ipynb	Time processing for every ONNX nodes in a graph	True	213.709	52	52	52
9	100%	288.193	2022-01-07	notebooks/onnx_operator_cost.ipynb	Infer operator computation cost	True	292.499	50	50	50
10	100%	74.971	2022-01-07	notebooks/onnx_pdist.ipynb	Pairwise distances with ONNX (pdist)	True	78.897	40	40	40
11	100%	92.667	2022-01-07	notebooks/onnx_profile.ipynb	Memory usage	True	96.796	31	31	31
12	100%	79.880	2022-01-07	notebooks/onnx_profile_ort.ipynb	Profiling with onnxruntime	True	83.837	46	46	46
13	100%	18.461	2022-01-07	notebooks/onnx_sbs.ipynb	ONNX side by side	True	22.356	33	33	33
14	100%	26.219	2022-01-07	notebooks/onnx_shaker.ipynb	Precision loss due to float32 conversion with ONNX	True	30.157	37	37	37
15	100%	23.783	2022-01-07	notebooks/onnx_visualization.ipynb	ONNX visualization	True	27.638	27	27	27
16	100%	16.196	2022-01-07	notebooks/sklearn_grammar_lr.ipynb	Converts a logistic regression into C	True	20.019	13	13	13
17	100%	39.413	2022-01-07	notebooks/topk_cpp.ipynb	Fast TopK elements	True	43.338	16	16	16
18	100%	16.693	2022-01-07	notebooks/transfer_learning.ipynb	Transfer Learning with ONNX	True	20.579	30	30	30

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