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import pytest
import torch

import cutlass
import cutlass.cute as cute
from cutlass.cute.runtime import from_dlpack


@cute.kernel
def _unary_ops_kernel(
    absf_inp: cute.Tensor,
    absf_out: cute.Tensor,
    floor_inp: cute.Tensor,
    floor_out: cute.Tensor,
):
    tidx, _, _ = cute.arch.thread_idx()
    absf_out[tidx] = cute.math.absf(absf_inp[tidx])
    floor_out[tidx] = cute.math.floor(floor_inp[tidx])


@cute.jit
def _unary_ops_host(
    absf_inp: cute.Tensor,
    absf_out: cute.Tensor,
    floor_inp: cute.Tensor,
    floor_out: cute.Tensor,
):
    _unary_ops_kernel(absf_inp, absf_out, floor_inp, floor_out).launch(
        grid=[1, 1, 1], block=[absf_inp.shape[0], 1, 1]
    )


def test_unary_ops():
    absf_inp = torch.tensor([-3.5, 2.0, 0.0], device="cuda", dtype=torch.float32)
    absf_expected = torch.tensor([3.5, 2.0, 0.0], device="cuda", dtype=torch.float32)
    absf_out = torch.zeros(3, device="cuda", dtype=torch.float32)
    floor_inp = torch.tensor([3.7, -2.3, 5.0], device="cuda", dtype=torch.float32)
    floor_expected = torch.tensor([3.0, -3.0, 5.0], device="cuda", dtype=torch.float32)
    floor_out = torch.zeros(3, device="cuda", dtype=torch.float32)
    absf_inp_cute = from_dlpack(absf_inp)
    absf_out_cute = from_dlpack(absf_out)
    floor_inp_cute = from_dlpack(floor_inp)
    floor_out_cute = from_dlpack(floor_out)

    args = (absf_inp_cute, absf_out_cute, floor_inp_cute, floor_out_cute)

    cute.compile(_unary_ops_host, *args)(*args)
    torch.cuda.synchronize()

    assert torch.equal(absf_out, absf_expected)
    assert torch.equal(floor_out, floor_expected)


@cute.kernel
def _binary_ops_kernel(
    mag_inp: cute.Tensor,
    sign_inp: cute.Tensor,
    out: cute.Tensor,
):
    tidx, _, _ = cute.arch.thread_idx()
    out[tidx] = cute.math.copysign(mag_inp[tidx], sign_inp[tidx])


@cute.jit
def _binary_ops_host(
    mag_inp: cute.Tensor,
    sign_inp: cute.Tensor,
    out: cute.Tensor,
):
    _binary_ops_kernel(mag_inp, sign_inp, out).launch(
        grid=[1, 1, 1], block=[mag_inp.shape[0], 1, 1]
    )


def test_binary_ops():
    mag_inp = torch.tensor([3.5, -2.0, 0.0, 1.0], device="cuda", dtype=torch.float32)
    sign_inp = torch.tensor([-1.0, 1.0, -1.0, 1.0], device="cuda", dtype=torch.float32)
    expected = torch.tensor([-3.5, 2.0, -0.0, 1.0], device="cuda", dtype=torch.float32)
    out = torch.zeros(4, device="cuda", dtype=torch.float32)
    mag_inp_cute = from_dlpack(mag_inp)
    sign_inp_cute = from_dlpack(sign_inp)
    out_cute = from_dlpack(out)

    args = (mag_inp_cute, sign_inp_cute, out_cute)

    cute.compile(_binary_ops_host, *args)(*args)
    torch.cuda.synchronize()

    assert torch.equal(out, expected)