| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| from __future__ import unicode_literals | |
| import numpy as np | |
| from caffe2.python import core, workspace | |
| from caffe2.quantization.server import dnnlowp_pybind11 | |
| net = core.Net("test_net") | |
| X = np.array([[1, 2], [3, 4]]).astype(np.float32) | |
| W = np.array([[5, 6], [7, 8]]).astype(np.float32) | |
| b = np.array([0, 1]).astype(np.float32) | |
| workspace.FeedBlob("X", X) | |
| workspace.FeedBlob("W", W) | |
| workspace.FeedBlob("b", b) | |
| Y = net.FC(["X", "W", "b"], ["Y"]) | |
| dnnlowp_pybind11.ObserveMinMaxOfOutput("test_net.minmax", 1) | |
| workspace.CreateNet(net) | |
| workspace.RunNet(net) | |
| print(workspace.FetchBlob("Y")) | |
| workspace.ResetWorkspace() | |
| workspace.FeedBlob("X", X) | |
| workspace.FeedBlob("W", W) | |
| workspace.FeedBlob("b", b) | |
| dnnlowp_pybind11.ObserveHistogramOfOutput("test_net.hist", 1) | |
| workspace.CreateNet(net) | |
| workspace.RunNet(net) |