Notebooks Coverage#

Report on last executions.

100% 2023-02-04

_images/nbcov-2023-02-04.png

index

coverage

exe time

last execution

name

title

success

time

nb cells

nb runs

nb valid

0

100%

256.860

2023-01-07

notebooks/einsum_decomposition.ipynb

Einsum decomposition

True

260.242

37

37

37

1

100%

123.790

2023-01-07

notebooks/lightgbm_double.ipynb

Lightgbm, double, discrepencies

True

127.038

20

20

20

2

100%

11.438

2023-01-07

notebooks/loss_functions.ipynb

Loss function in ONNX

True

14.704

29

29

29

3

100%

14.033

2023-01-07

notebooks/numpy_api_onnx_ccl.ipynb

Introduction to a numpy API for ONNX: CustomClassifier

True

17.306

19

19

19

4

100%

90.846

2023-01-07

notebooks/numpy_api_onnx_ftr.ipynb

Introduction to a numpy API for ONNX: FunctionTransformer

True

94.092

33

33

33

5

100%

28.464

2023-01-07

notebooks/onnx_discrepencies.ipynb

Discrepencies with ONNX

True

31.788

40

40

40

6

100%

9.491

2023-01-07

notebooks/onnx_fft.ipynb

ONNX and FFT

True

12.925

38

38

38

7

100%

172.585

2023-01-07

notebooks/onnx_ffts.ipynb

ONNX FFTs

True

176.360

33

33

33

8

100%

17.897

2023-01-07

notebooks/onnx_float32_and_64.ipynb

ONNX graph, single or double floats

True

21.284

31

31

31

9

100%

73.320

2023-01-07

notebooks/onnx_float_double_skl_decision_trees.ipynb

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

True

76.600

33

33

33

10

100%

122.043

2023-01-07

notebooks/onnx_node_time.ipynb

Time processing for every ONNX nodes in a graph

True

125.523

52

52

52

11

100%

446.632

2023-01-07

notebooks/onnx_operator_cost.ipynb

Infer operator computation cost

True

450.049

50

50

50

12

100%

404.597

2023-01-07

notebooks/onnx_pdist.ipynb

Pairwise distances with ONNX (pdist)

True

407.911

41

41

41

13

100%

82.223

2023-01-07

notebooks/onnx_profile.ipynb

Memory usage

True

85.610

31

31

31

14

100%

66.099

2023-01-07

notebooks/onnx_profile_ort.ipynb

Profiling with onnxruntime

True

69.432

46

46

46

15

100%

12.673

2023-01-07

notebooks/onnx_sbs.ipynb

ONNX side by side

True

15.921

33

33

33

16

100%

21.697

2023-01-07

notebooks/onnx_shaker.ipynb

Precision loss due to float32 conversion with ONNX

True

25.184

37

37

37

17

100%

7.751

2023-01-07

notebooks/onnx_sklearn_functions.ipynb

Use function when converting into ONNX

True

10.983

12

12

12

18

100%

22.583

2023-01-07

notebooks/onnx_visualization.ipynb

ONNX visualization

True

25.815

27

27

27

19

100%

8.615

2023-01-07

notebooks/sklearn_grammar_lr.ipynb

Converts a logistic regression into C

True

11.868

13

13

13

20

100%

83.149

2023-01-07

notebooks/topk_cpp.ipynb

Fast TopK elements

True

86.573

16

16

16

21

100%

12.951

2023-01-07

notebooks/transfer_learning.ipynb

Transfer Learning with ONNX

True

16.242

30

30

30

_images/nbcov.png