提交 08721244 编写于 作者: M mindspore-ci-bot 提交者: Gitee

!5192 Add unit tests for scatternd

Merge pull request !5192 from Peilin/scatternd-type-support
......@@ -19,7 +19,6 @@ import mindspore.nn as nn
from mindspore import Tensor
from mindspore.ops import operations as P
context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
class Net(nn.Cell):
def __init__(self, _shape):
......@@ -30,6 +29,7 @@ class Net(nn.Cell):
def construct(self, indices, update):
return self.scatternd(indices, update, self.shape)
def scatternd_net(indices, update, _shape, expect):
scatternd = Net(_shape)
output = scatternd(Tensor(indices), Tensor(update))
......@@ -38,13 +38,49 @@ def scatternd_net(indices, update, _shape, expect):
assert np.all(diff < error)
assert np.all(-diff < error)
def scatternd_positive(nptype):
context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
arr_indices = np.array([[0, 1], [1, 1], [0, 1], [0, 1], [0, 1]]).astype(np.int32)
arr_update = np.array([3.2, 1.1, 5.3, -2.2, -1.0]).astype(nptype)
shape = (2, 2)
expect = np.array([[0., 5.3],
[0., 1.1]]).astype(nptype)
scatternd_net(arr_indices, arr_update, shape, expect)
def scatternd_negative(nptype):
context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
arr_indices = np.array([[1, 0], [1, 1], [1, 0], [1, 0], [1, 0]]).astype(np.int32)
arr_update = np.array([-13.4, -3.1, 5.1, -12.1, -1.0]).astype(nptype)
shape = (2, 2)
expect = np.array([[0., 0.],
[-21.4, -3.1]]).astype(nptype)
scatternd_net(arr_indices, arr_update, shape, expect)
@pytest.mark.level0
@pytest.mark.platform_x86_gpu_traning
@pytest.mark.env_onecard
def test_scatternd():
arr_indices = np.array([[0, 1], [1, 1]]).astype(np.int32)
arr_update = np.array([3.2, 1.1]).astype(np.float32)
shape = (2, 2)
expect = np.array([[0., 3.2],
[0., 1.1]])
scatternd_net(arr_indices, arr_update, shape, expect)
def test_scatternd_float32():
scatternd_positive(np.float32)
scatternd_negative(np.float32)
@pytest.mark.level0
@pytest.mark.platform_x86_gpu_traning
@pytest.mark.env_onecard
def test_scatternd_float16():
scatternd_positive(np.float16)
scatternd_negative(np.float16)
@pytest.mark.level0
@pytest.mark.platform_x86_gpu_traning
@pytest.mark.env_onecard
def test_scatternd_int16():
scatternd_positive(np.int16)
scatternd_negative(np.int16)
@pytest.mark.level0
@pytest.mark.platform_x86_gpu_traning
@pytest.mark.env_onecard
def test_scatternd_uint8():
scatternd_positive(np.uint8)
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