def func_test_async_read_success(self):
offset = paddle.to_tensor(np.array([10, 20], dtype="int64"),
place=paddle.CPUPlace())
count = paddle.to_tensor(np.array([5, 10], dtype="int64"),
place=paddle.CPUPlace())
with cuda.stream_guard(self.stream):
if _in_legacy_dygraph():
core.async_read(self.src, self.dst, self.index, self.buffer,
offset, count)
else:
core.eager.async_read(self.src, self.dst, self.index,
self.buffer, offset, count)
# index data
index_array1 = paddle.gather(self.src, self.index)
count_numel = paddle.sum(count).numpy()[0]
index_array2 = self.dst[count_numel:count_numel + len(self.index)]
self.assertTrue(np.allclose(index_array1.numpy(),
index_array2.numpy()))
# offset, count
offset_a = paddle.gather(self.src, paddle.to_tensor(np.arange(10, 15)))
offset_b = paddle.gather(self.src, paddle.to_tensor(np.arange(20, 30)))
offset_array1 = paddle.concat([offset_a, offset_b], axis=0)
offset_array2 = self.dst[:count_numel]
self.assertTrue(
np.allclose(offset_array1.numpy(), offset_array2.numpy()))
def test_async_read_empty_offset_and_count(self):
with cuda.stream_guard(self.stream):
core.async_read(self.src, self.dst, self.index, self.buffer,
self.empty, self.empty)
array1 = paddle.gather(self.src, self.index)
array2 = self.dst[:len(self.index)]
self.assertTrue(np.allclose(array1.numpy(), array2.numpy()))
def test_async_read_only_1dim(self):
src = paddle.rand([40], dtype="float32").pin_memory()
dst = paddle.empty([40], dtype="float32")
buffer_ = paddle.empty([20]).pin_memory()
with cuda.stream_guard(self.stream):
core.async_read(src, dst, self.index, buffer_, self.empty,
self.empty)
array1 = paddle.gather(src, self.index)
array2 = dst[:len(self.index)]
self.assertTrue(np.allclose(array1.numpy(), array2.numpy()))
def test_async_write_success(self):
offset = paddle.to_tensor(
np.array(
[0, 60], dtype="int64"), place=paddle.CPUPlace())
count = paddle.to_tensor(
np.array(
[40, 60], dtype="int64"), place=paddle.CPUPlace())
with cuda.stream_guard(self.stream):
core.async_write(self.src, self.dst, offset, count)
offset_a = paddle.gather(self.dst, paddle.to_tensor(np.arange(0, 40)))
offset_b = paddle.gather(self.dst, paddle.to_tensor(np.arange(60, 120)))
offset_array = paddle.concat([offset_a, offset_b], axis=0)
self.assertTrue(np.allclose(self.src.numpy(), offset_array.numpy()))
