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| 1 | +# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | + |
| 15 | +# api: paddle.fluid.data |
| 16 | +# env: local |
| 17 | +# device: gpu |
| 18 | +# text:feed-gpu-data |
| 19 | + |
| 20 | +import paddle.fluid as fluid |
| 21 | +import numpy as np |
| 22 | + |
| 23 | +def gen_data(): |
| 24 | + return {"x": np.ones((1, 32)).astype('float32')} |
| 25 | + |
| 26 | +input_x = fluid.layers.data(name="x", shape=[32], dtype='float32') |
| 27 | +place = fluid.CUDAPlace(0) |
| 28 | +exe = fluid.Executor(place) |
| 29 | +input_val = exe.run(feed=gen_data(), |
| 30 | + fetch_list=[input_x.name]) |
| 31 | +print(input_val) |
| 32 | +# [array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., |
| 33 | +# 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]], |
| 34 | +# dtype=float32)] |
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