def TileGrad(op, grad):
return [
xdl.tile_grad(op.inputs[0],
op.inputs[1],
op.inputs[2],
op.inputs[3],
op.inputs[4],
grad[0],
length=op.attrs['length'],
reverse=op.attrs['reverse'])
]
def test_cpu_tile(self):
res = xdl.tile_grad(embeds,
idx,
values,
segs,
grps,
grads,
length=length,
reverse=False)
res = xdl.execute(res)
res_grad = np.array([[10.7], [3.9], [0.1], [12.1], [4.8], [13.5]],
dtype=np.float)
self.assertTrue(np.allclose(res, res_grad))
def test_cpu_tile_reverse(self):
res = xdl.tile_grad(embeds,
idx,
values,
segs,
grps,
grads,
length=length,
reverse=True)
res = xdl.execute(res)
res_grad = np.array([[1.6], [4.4], [13.3], [12.3], [4.2], [12.6]],
dtype=np.float)
self.assertTrue(np.allclose(res, res_grad))
def test_cpu_tile_empty_value_reverse(self):
empty_values = np.array([], dtype=np.float)
res = xdl.tile_grad(embeds,
idx,
empty_values,
segs,
grps,
grads,
length=length,
reverse=True)
res = xdl.execute(res)
res_grad = np.array([[0.4], [1.0], [1.6], [1.6], [0.7], [1.4]],
dtype=np.float)
self.assertTrue(np.allclose(res, res_grad))
def test_gpu_tile_empty_value(self):
with xdl.device("GPU"):
empty_values = np.array([], dtype=np.float)
res = xdl.tile_grad(embeds,
idx,
empty_values,
segs,
grps,
grads,
length=length,
reverse=False)
res = xdl.execute(res)
res_grad = np.array([[1.7], [0.9], [0.1], [1.7], [0.8], [1.5]],
dtype=np.float)
self.assertTrue(np.allclose(res, res_grad))
