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MModular

•Created by Sagi on 5/25/2024 in #questions

math.atan funtion not working on compile time

Thanks for answering!

22 replies

MModular

•Created by Sagi on 5/25/2024 in #questions

math.atan funtion not working on compile time

it was just for convenience but also I just wandered why it didn't work but the power and log2 function was important because for some image processing task I needed to use the SIMD and because it needs to be in a size of a power of 2 and given at compile time its nice that you can enter any frame size and it will round it up into a power of 2

22 replies

MModular

•Created by Sagi on 5/5/2024 in #questions

How to efficiently sum a SIMD

thank you very much, I didn't notice that function

6 replies

MModular

•Created by pascalpolygon on 4/25/2024 in #questions

Efficient Mojo Tensor To Numpy Array Conversion

Hi, this code worked for me although it has some problem, for some reason, the first two elements (at least from my very little tests) of the pointer are wrong, you can also confirm that by printing the pointer values in mojo, after that i just casted the pointer to a numpy array with ctypes and numpy

from tensor import Tensor, TensorShape 
from python import Python

fn main() raises:

    var np = Python.import_module("numpy")
    var ctypes = Python.import_module("ctypes")
    var mojo_tensor =  Tensor[DType.int32](
        TensorShape(5, 5),
        1, 0, 0, 0, 0,
        0, 1, 0, 0, 0,
        0, 0, 1, 0, 0,
        0, 0, 0, 1, 0,
        0, 0, 0, 0, 1
    )
    var ptr = mojo_tensor.data().__int__()
    var data_pointer = ctypes.cast(ptr, ctypes.POINTER(ctypes.c_int32))
    var numpy_array = np.ctypeslib.as_array(data_pointer, shape=(5, 5))
    print(numpy_array)

from tensor import Tensor, TensorShape 
from python import Python

fn main() raises:

    var np = Python.import_module("numpy")
    var ctypes = Python.import_module("ctypes")
    var mojo_tensor =  Tensor[DType.int32](
        TensorShape(5, 5),
        1, 0, 0, 0, 0,
        0, 1, 0, 0, 0,
        0, 0, 1, 0, 0,
        0, 0, 0, 1, 0,
        0, 0, 0, 0, 1
    )
    var ptr = mojo_tensor.data().__int__()
    var data_pointer = ctypes.cast(ptr, ctypes.POINTER(ctypes.c_int32))
    var numpy_array = np.ctypeslib.as_array(data_pointer, shape=(5, 5))
    print(numpy_array)

2 replies

MModular

•Created by Sagi on 5/5/2024 in #questions

How to efficiently sum a SIMD

more on the over all question, i want to fastly calculate the mean squre error on two vectors in the simd, so i have 2 simd vector, let's say A and B so i need to calculate A-B and then sum the outcome, how can i do that efficiently in the SIMD?

6 replies

MModular

•Created by Sagi on 9/29/2023 in #questions

PyObject support

I mean that why you do like let np = Python.import_module("numpy") let x = np.array([1, 2, 3]) Than x is PyObject, and if you want to iterate x fastly you would rather x to be Tensor, I am asking if there will be an intended way that will work fast to transfer PyObject, eve only numpy arrays into moji's Tensor

4 replies

MModular

•Created by AstroLightz#0985 on 9/28/2023 in #questions

Can Mojo be installed on Linux Mint?

yap

10 replies

MModular

•Created by AstroLightz#0985 on 9/28/2023 in #questions

Can Mojo be installed on Linux Mint?

https://gist.github.com/sagi21805/e40238358069439262ceae64758e0d9d

10 replies

MModular