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github.com/ml-explore/mlx
/ minimum
Method
minimum
python/src/array.cpp:63–66 ·
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61
return mlx_maximum_item(x_, indices_, v);
62
}
63
mx::array minimum(const ScalarOrArray& v) {
64
check_initialized();
65
return mlx_minimum_item(x_, indices_, v);
66
}
67
68
private:
69
mx::array x_;
Callers
14
_clip_grads_fsdp
Function · 0.80
huber_loss
Function · 0.80
relu6
Function · 0.80
celu
Function · 0.80
prelu
Function · 0.80
hardswish
Function · 0.80
hard_tanh
Function · 0.80
schedule
Function · 0.80
_compute_learning_rate
Method · 0.80
clip_grad_norm
Function · 0.80
fun
Method · 0.80
test_array_at
Method · 0.80
Calls
1
mlx_minimum_item
Function · 0.85
Tested by
4
fun
Method · 0.64
test_array_at
Method · 0.64
test_segmented_mm
Method · 0.64
test_minimum
Method · 0.64