module testing.test_utils.utils_backend#
Short summary#
module mlprodict.testing.test_utils.utils_backend
Inspired from sklearn-onnx, handles two backends.
Functions#
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The function compares the expected output (computed with the model before being converted to ONNX) and the ONNX output. … |
Documentation#
Inspired from sklearn-onnx, handles two backends.
- mlprodict.testing.test_utils.utils_backend.compare_backend(backend, test, decimal=5, options=None, verbose=False, context=None, comparable_outputs=None, intermediate_steps=False, classes=None, disable_optimisation=False)#
The function compares the expected output (computed with the model before being converted to ONNX) and the ONNX output.
- Parameters:
backend – backend to use to run the comparison
test – dictionary with the following keys: - onnx: onnx model (filename or object) - expected: expected output (filename pkl or object) - data: input data (filename pkl or object)
decimal – precision of the comparison
options – comparison options
context – specifies custom operators
comparable_outputs – compare only these outputs
verbose – in case of error, the function may print more information on the standard output
intermediate_steps – displays intermediate steps in case of an error
classes – classes names (if option ‘nocl’ is used)
disable_optimisation – disable optimisation onnxruntime could do
The function does not return anything but raises an error if the comparison failed. :return: tuple (output, lambda function to call onnx predictions)