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|
|
|
| import numpy as np |
| from caffe2.python import core, workspace |
| from caffe2.quantization.server import dnnlowp_pybind11 |
|
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|
|
| 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) |
|
|
|
|
| workspace.FeedBlob("X", X) |
| workspace.FeedBlob("W", W) |
| workspace.FeedBlob("b", b) |
|
|
| dnnlowp_pybind11.AddOutputColumnMaxHistogramObserver( |
| net._net.name, "test_net._col_max_hist", ["Y"] |
| ) |
| workspace.RunNet(net) |
|
|
