Shift bits of x to left by the amount specified in y, element-wise.
JAX implementation of numpy.left_shift.
x (ArrayLike) – Input array, must be integer-typed.
y (ArrayLike) – The amount of bits to shift each element in x to the left, only accepts integer subtypes. x and y must either have same shape or be broadcast compatible.
An array containing the left shifted elements of x by the amount specified in y, with the same shape as the broadcasted shape of x and y.
Note
Left shifting x by y is equivalent to x * (2**y) within the bounds of the dtypes involved.
Examples
>>> def print_binary(x): ... return [bin(int(val)) for val in x]
>>> x1 = jnp.arange(5) >>> x1 Array([0, 1, 2, 3, 4], dtype=int32) >>> print_binary(x1) ['0b0', '0b1', '0b10', '0b11', '0b100'] >>> x2 = 1 >>> result = jnp.left_shift(x1, x2) >>> result Array([0, 2, 4, 6, 8], dtype=int32) >>> print_binary(result) ['0b0', '0b10', '0b100', '0b110', '0b1000']
>>> x3 = 4 >>> print_binary([x3]) ['0b100'] >>> x4 = jnp.array([1, 2, 3, 4]) >>> result1 = jnp.left_shift(x3, x4) >>> result1 Array([ 8, 16, 32, 64], dtype=int32) >>> print_binary(result1) ['0b1000', '0b10000', '0b100000', '0b1000000']
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