def predict_brpc(self, batch_size=1):
data = np.array([
0.0137, -0.1136, 0.2553, -0.0692, 0.0582, -0.0727, -0.1583,
-0.0584, 0.6283, 0.4919, 0.1856, 0.0795, -0.0332
]).astype("float32")[np.newaxis, :]
client = Client()
client.load_client_config(
"uci_housing_client/serving_client_conf.prototxt")
client.connect(["127.0.0.1:9494"])
fetch_list = client.get_fetch_names()
fetch_map = client.predict(feed={"x": data},
fetch=fetch_list,
batch=True)
return fetch_map
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# pylint: disable=doc-string-missing
from paddle_serving_client import Client
import sys
import numpy as np
client = Client()
client.load_client_config(sys.argv[1])
client.connect(["127.0.0.1:9393"])
fetch_list = client.get_fetch_names()
import paddle
test_reader = paddle.batch(paddle.reader.shuffle(
paddle.dataset.uci_housing.test(), buf_size=500),
batch_size=1)
for data in test_reader():
new_data = np.zeros((1, 13)).astype("float32")
new_data[0] = data[0][0]
fetch_map = client.predict(feed={"x": new_data},
fetch=fetch_list,
batch=True)
print(fetch_map)
