Notebooks Coverage#

Report on last executions.

100% 2022-06-30

_images/nbcov-2022-06-30.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

100%

247.883

2022-06-07

notebooks/einsum_decomposition.ipynb

Einsum decomposition

True

251.149

37

37

37

1

100%

110.849

2022-06-07

notebooks/lightgbm_double.ipynb

Lightgbm, double, discrepencies

True

113.938

20

20

20

2

100%

7.548

2022-06-07

notebooks/loss_functions.ipynb

Loss function in ONNX

True

10.673

29

29

29

3

100%

13.156

2022-06-07

notebooks/numpy_api_onnx_ccl.ipynb

Introduction to a numpy API for ONNX: CustomClassifier

True

16.312

19

19

19

4

100%

88.297

2022-06-07

notebooks/numpy_api_onnx_ftr.ipynb

Introduction to a numpy API for ONNX: FunctionTransformer

True

91.438

33

33

33

5

100%

22.773

2022-06-07

notebooks/onnx_discrepencies.ipynb

Discrepencies with ONNX

True

25.952

40

40

40

6

100%

8.486

2022-06-07

notebooks/onnx_fft.ipynb

ONNX and FFT

True

11.683

38

38

38

7

100%

147.090

2022-06-07

notebooks/onnx_ffts.ipynb

ONNX FFTs

True

150.486

33

33

33

8

100%

20.388

2022-06-07

notebooks/onnx_float32_and_64.ipynb

ONNX graph, single or double floats

True

23.557

31

31

31

9

100%

90.740

2022-06-07

notebooks/onnx_float_double_skl_decision_trees.ipynb

Tricky detail when converting a random forest from scikit-learn into ONNX

True

93.889

33

33

33

10

100%

117.360

2022-06-07

notebooks/onnx_node_time.ipynb

Time processing for every ONNX nodes in a graph

True

120.579

52

52

52

11

100%

213.092

2022-06-07

notebooks/onnx_operator_cost.ipynb

Infer operator computation cost

True

216.439

50

50

50

12

100%

65.359

2022-06-07

notebooks/onnx_pdist.ipynb

Pairwise distances with ONNX (pdist)

True

68.468

41

41

41

13

100%

70.736

2022-06-07

notebooks/onnx_profile.ipynb

Memory usage

True

73.879

31

31

31

14

100%

60.175

2022-06-07

notebooks/onnx_profile_ort.ipynb

Profiling with onnxruntime

True

63.333

46

46

46

15

100%

15.524

2022-06-07

notebooks/onnx_sbs.ipynb

ONNX side by side

True

18.644

33

33

33

16

100%

21.588

2022-06-07

notebooks/onnx_shaker.ipynb

Precision loss due to float32 conversion with ONNX

True

24.730

37

37

37

17

100%

18.570

2022-06-07

notebooks/onnx_visualization.ipynb

ONNX visualization

True

21.684

27

27

27

18

100%

7.695

2022-06-07

notebooks/sklearn_grammar_lr.ipynb

Converts a logistic regression into C

True

10.756

13

13

13

19

100%

80.260

2022-06-07

notebooks/topk_cpp.ipynb

Fast TopK elements

True

83.406

16

16

16

20

100%

13.484

2022-06-07

notebooks/transfer_learning.ipynb

Transfer Learning with ONNX

True

16.626

30

30

30

_images/nbcov.png