Umut c8b95de3e4 feat(benchmark): add alerts to benchmarks

2021-10-12 12:52:49 +03:00

..

124_minus_x_tensor.py

feat(benchmark): add alerts to benchmarks

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124_minus_x.py

feat(benchmark): add alerts to benchmarks

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common.py

fix(benchmarks): treat warnings as errors in benchmarks

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linear_regression.py

feat(benchmark): add alerts to benchmarks

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logistic_regression.py

feat(benchmark): add alerts to benchmarks

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single_table_lookup.py

feat(benchmark): add alerts to benchmarks

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x_minus_1_2_3_broadcasted.py

feat(benchmark): add alerts to benchmarks

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x_minus_1_2_3.py

feat(benchmark): add alerts to benchmarks

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x_minus_24_tensor.py

feat(benchmark): add alerts to benchmarks

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x_minus_24.py

feat(benchmark): add alerts to benchmarks

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x_minus_y_broadcasted_tensors.py

feat(benchmark): add alerts to benchmarks

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x_minus_y_tensor_and_scalar.py

feat(benchmark): add alerts to benchmarks

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x_minus_y_tensors.py

feat(benchmark): add alerts to benchmarks

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x_minus_y.py

feat(benchmark): add alerts to benchmarks

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x_plus_1_2_3_broadcasted.py

feat(benchmark): add alerts to benchmarks

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x_plus_1_2_3.py

feat(benchmark): add alerts to benchmarks

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x_plus_42_tensor.py

feat(benchmark): add alerts to benchmarks

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x_plus_42.py

feat(benchmark): add alerts to benchmarks

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x_plus_y_broadcasted_tensors.py

feat(benchmark): add alerts to benchmarks

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x_plus_y_tensor_and_scalar.py

feat(benchmark): add alerts to benchmarks

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x_plus_y_tensors.py

feat(benchmark): add alerts to benchmarks

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x_plus_y.py

feat(benchmark): add alerts to benchmarks

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x_times_1_2_3_broadcasted.py

feat(benchmark): add alerts to benchmarks

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x_times_1_2_3.py

feat(benchmark): add alerts to benchmarks

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x_times_7_tensor.py

feat(benchmark): add alerts to benchmarks

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x_times_7.py

feat(benchmark): add alerts to benchmarks

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x_times_y_broadcasted_tensors.py

feat(benchmark): add alerts to benchmarks

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x_times_y_tensor_and_scalar.py

feat(benchmark): add alerts to benchmarks

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x_times_y_tensors.py

feat(benchmark): add alerts to benchmarks

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x_times_y.py

feat(benchmark): add alerts to benchmarks

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x_to_the_power_of_2.py

feat(benchmark): add alerts to benchmarks

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