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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2022/06/21 12:45:13 UTC
[GitHub] [incubator-mxnet] bgawrych commented on a diff in pull request #21046: [master] Node elimination graph pass
bgawrych commented on code in PR #21046:
URL: https://github.com/apache/incubator-mxnet/pull/21046#discussion_r902572550
##########
tests/python/dnnl/subgraphs/test_amp_subgraph.py:
##########
@@ -172,6 +173,7 @@ def test_amp_transformers():
@mx.util.use_np
def test_amp_concat():
+ os.environ["MXNET_NODE_ELIMINATION"] = "0"
Review Comment:
personally I don't like this casting from nd to np - I would rather disable sharing parameters in FC and rewrite exected symbol:
```
@mx.util.use_np
def test_amp_concat():
class TestNet(nn.HybridBlock):
def __init__(self):
super(TestNet, self).__init__()
self.fc1 = nn.Dense(16)
self.fc2 = nn.Dense(16)
def forward(self, x):
x1 = self.fc1(x)
x2 = self.fc2(x)
x = mx.np.concat((x1, x2), axis=1)
return x
net = TestNet()
net.initialize()
data_example = mx.np.random.uniform(-1, 1, (1, 16))
exp_data = mx.symbol.Variable('data')
exp_amp_data = mx.symbol.amp_cast(exp_data, dtype=AMP_DTYPE)
exp_weight = [mx.symbol.Variable(f"fc{i}_weight") for i in range(2)]
exp_bias = [mx.symbol.Variable(f"fc{i}_bias") for i in range(2)]
exp_fc = [mx.symbol.FullyConnected(exp_amp_data, exp_weight[i], exp_bias[i], num_hidden=1)
for i in range(2)]
exp_sym = mx.symbol.Concat(*exp_fc)
exp_sym = mx.symbol.amp_cast(exp_sym, dtype='float32')
exp_sym = exp_sym.get_backend_symbol(SG_PASS_NAME)
check_amp_fuse(net, [data_example], exp_sym)
exp_fc[0] = mx.symbol.FullyConnected(exp_amp_data, exp_weight[0], exp_bias[0], num_hidden=1)
exp_fc[1] = mx.symbol.FullyConnected(exp_data, exp_weight[1], exp_bias[1], num_hidden=1)
exp_sym = mx.symbol.Concat(*exp_fc)
exp_sym = exp_sym.get_backend_symbol(SG_PASS_NAME)
check_amp_fuse(net, [data_example], exp_sym, ['sg_onednn_fully_connected_1'])
```
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