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import triton
import triton.language as tl
import torch
import torch_npu
import pytest
import test_common
import triton.language.extra.ascend.libdevice as libdevice
import numpy as np
from scipy.special import gamma


@triton.jit
def triton_gamma(in_ptr0, out_ptr0, xnumel, XBLOCK: tl.constexpr, XBLOCK_SUB: tl.constexpr):
    xoffset = tl.program_id(0) * XBLOCK
    for xoffset_sub in range(0, XBLOCK, XBLOCK_SUB):
        xindex = xoffset + xoffset_sub + tl.arange(0, XBLOCK_SUB)[:]
        xmask = xindex < xnumel
        x0 = tl.load(in_ptr0 + xindex, xmask)
        y = libdevice.gamma(x0)
        tl.store(out_ptr0 + xindex, y, xmask)


@pytest.mark.parametrize('param_list',
                         [
                             ['float32', (2, 4096, 8), 2, 32768, 1024],
                         ]
                         )
def test_gamma_case(param_list):
    dtype, shape, ncore, xblock, xblock_sub = param_list
    x = torch.abs(test_common.generate_tensor(shape, dtype))
    x_np = x.cpu().numpy()
    x = x.npu()
    y_ref = torch.from_numpy(gamma(x_np)).to(x.device).to(x.dtype).npu()
    y_cal = torch.zeros(shape, dtype=eval('torch.' + dtype)).npu()
    triton_gamma[ncore, 1, 1](x, y_cal, x.numel(), xblock, xblock_sub)
    test_common.validate_cmp(dtype, y_cal, y_ref)


@pytest.mark.parametrize('param_list',
                         [
                             ['float32', (2, 4096, 8), 2, 32768, 1024],
                         ]
                         )
def test_all_blocks_parallel(param_list, monkeypatch):
    monkeypatch.setenv("TRITON_ALL_BLOCKS_PARALLEL", "1")
    dtype, shape, ncore, xblock, xblock_sub = param_list
    x = torch.abs(test_common.generate_tensor(shape, dtype))
    x_np = x.cpu().numpy()
    x = x.npu()
    y_ref = torch.from_numpy(gamma(x_np)).to(x.device).to(x.dtype).npu()
    y_cal = torch.zeros(shape, dtype=eval('torch.' + dtype)).npu()
    triton_gamma[ncore, 1, 1](x, y_cal, x.numel(), xblock, xblock_sub)
    test_common.validate_cmp(dtype, y_cal, y_ref)
    monkeypatch.delenv("TRITON_ALL_BLOCKS_PARALLEL")