ReLU Backward

Compute the derivative mask of ReLU: $11$ where the input is strictly positive and $00$ elsewhere (including at $00$).

Implement solve(x).

Returns. Return a float NumPy array of 0.0 and 1.0 with the same shape as x.

Examples

Example 1

Input:

solve([-2, 0, 3])

Output:

[0.0, 0.0, 1.0]

Example 2

Input:

solve([[1.0, -1.0], [0.5, 0.0]])

Output:

[[1.0, 0.0], [1.0, 0.0]]