def sgd_update_gpu(param, grad_param, learning_rate):
"""Helper GPU SGD update method. Avoids copying NDArray to cpu."""
assert isinstance(param, ndarray.NDArray)
assert isinstance(grad_param, ndarray.NDArray)
gpu_op.matrix_elementwise_multiply_by_const(grad_param, -learning_rate,
grad_param)
gpu_op.matrix_elementwise_add(param, grad_param, param)
def test_matrix_elementwise_add():
ctx = ndarray.gpu(0)
shape = (500, 200)
x = np.random.uniform(0, 10, size=shape).astype(np.float32)
y = np.random.uniform(0, 10, size=shape).astype(np.float32)
arr_x = ndarray.array(x, ctx=ctx)
arr_y = ndarray.array(y, ctx=ctx)
arr_z = ndarray.empty(shape, ctx=ctx)
gpu_op.matrix_elementwise_add(arr_x, arr_y, arr_z)
z = arr_z.asnumpy()
np.testing.assert_allclose(x + y, z, rtol=1e-5)