49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import pytest
|
|
|
|
from pytorch_layer_test_class import PytorchLayerTest
|
|
|
|
|
|
class TestGelu(PytorchLayerTest):
|
|
def _prepare_input(self, m, n, max_val, out=False):
|
|
import numpy as np
|
|
index = np.random.randint(0, max_val, (m, n))
|
|
inp = np.random.randn(m, n).astype(np.float32)
|
|
if out:
|
|
axis = int(max_val == n)
|
|
out = np.zeros_like(np.take(inp, index, axis))
|
|
return (inp, index, out)
|
|
return (inp, index)
|
|
|
|
def create_model(self, axis, out):
|
|
import torch
|
|
|
|
class aten_gather(torch.nn.Module):
|
|
def __init__(self, axis, out=False):
|
|
super(aten_gather, self).__init__()
|
|
self.axis = axis
|
|
if out:
|
|
self.forward = self.forward_out
|
|
|
|
def forward(self, x, index):
|
|
return torch.gather(x, self.axis, index)
|
|
|
|
def forward_out(self, x, index, out):
|
|
return torch.gather(x, self.axis, index, out=out)
|
|
|
|
ref_net = None
|
|
|
|
return aten_gather(axis, out), ref_net, "aten::gather"
|
|
|
|
@pytest.mark.nightly
|
|
@pytest.mark.precommit
|
|
@pytest.mark.parametrize("m", [2, 10, 100])
|
|
@pytest.mark.parametrize("n", [2, 10, 100])
|
|
@pytest.mark.parametrize("axis", [0, 1])
|
|
@pytest.mark.parametrize("out", [True, False])
|
|
def test_gather(self, m, n, axis, out, ie_device, precision, ir_version):
|
|
self._test(*self.create_model(axis, out), ie_device, precision, ir_version, kwargs_to_prepare_input={
|
|
"m": m, "n": n, "max_val": m if axis == 0 else n, "out": out
|
|
}) |