return mod from frontend for autotvm (apache#3401)

neo-ai · Jun 27, 2019 · d6e335a · d6e335a
1 parent eca3f0b
commit d6e335a
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Showing 4 changed files with 8 additions and 4 deletions.
diff --git a/tutorials/autotvm/tune_relay_arm.py b/tutorials/autotvm/tune_relay_arm.py
@@ -96,7 +96,8 @@ def get_network(name, batch_size):
         # an example for mxnet model
         from mxnet.gluon.model_zoo.vision import get_model
         block = get_model('resnet18_v1', pretrained=True)
-        net, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        mod, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        net = mod[mod.entry_func]
         net = relay.Function(net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs)
     else:
         raise ValueError("Unsupported network: " + name)

diff --git a/tutorials/autotvm/tune_relay_cuda.py b/tutorials/autotvm/tune_relay_cuda.py
@@ -96,7 +96,8 @@ def get_network(name, batch_size):
         # an example for mxnet model
         from mxnet.gluon.model_zoo.vision import get_model
         block = get_model('resnet18_v1', pretrained=True)
-        net, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        mod, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        net = mod[mod.entry_func]
         net = relay.Function(net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs)
     else:
         raise ValueError("Unsupported network: " + name)

diff --git a/tutorials/autotvm/tune_relay_mobile_gpu.py b/tutorials/autotvm/tune_relay_mobile_gpu.py
@@ -97,7 +97,8 @@ def get_network(name, batch_size):
         # an example for mxnet model
         from mxnet.gluon.model_zoo.vision import get_model
         block = get_model('resnet18_v1', pretrained=True)
-        net, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        mod, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        net = mod[mod.entry_func]
         net = relay.Function(net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs)
     else:
         raise ValueError("Unsupported network: " + name)

diff --git a/tutorials/autotvm/tune_relay_x86.py b/tutorials/autotvm/tune_relay_x86.py
@@ -64,7 +64,8 @@ def get_network(name, batch_size):
         # an example for mxnet model
         from mxnet.gluon.model_zoo.vision import get_model
         block = get_model('resnet18_v1', pretrained=True)
-        net, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        mod, params = relay.frontend.from_mxnet(block, shape={'data': input_shape}, dtype=dtype)
+        net = mod[mod.entry_func]
         net = relay.Function(net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs)
     else:
         raise ValueError("Unsupported network: " + name)