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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2022/01/05 16:50:18 UTC
[GitHub] [tvm] jacobbohlin commented on a change in pull request #9471: [microNPU][2b] Create CascaderGraphs from TE graphs
jacobbohlin commented on a change in pull request #9471:
URL: https://github.com/apache/tvm/pull/9471#discussion_r778976386
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File path: tests/python/contrib/test_ethosu/cascader/conftest.py
##########
@@ -0,0 +1,126 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import pytest
+
+pytest.importorskip("ethosu.vela")
+
+import tvm
+from tvm import relay
+from tvm.relay.testing import run_opt_pass
+
+import tvm.contrib.ethosu.cascader as cs
+from .infra import create_te_graph
+from ..infra import make_ethosu_conv2d
+
+
+def make_TwoConv2DTE():
+ def _get_func():
+ ifm = relay.var("ifm", shape=(1, 12, 12, 8), dtype="int8")
+ conv1 = make_ethosu_conv2d(
+ ifm=ifm,
+ ifm_channels=8,
+ ofm_channels=32,
+ kernel_shape=(1, 1),
+ padding=(0, 0),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHWC",
+ ofm_layout="NHCWB16",
+ )
+ conv2 = make_ethosu_conv2d(
+ ifm=conv1,
+ ifm_channels=32,
+ ofm_channels=16,
+ kernel_shape=(3, 3),
+ padding=(1, 1),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHCWB16",
+ ofm_layout="NHWC",
+ )
+ func = relay.Function(relay.analysis.free_vars(conv2), conv2)
+ func = run_opt_pass(func, relay.transform.InferType())
+ return func
+
+ func = _get_func()
+ te_graph, const_dict = create_te_graph(func)
+ sch = tvm.te.create_schedule([t.op for t in te_graph.outputs])
+ return sch, te_graph, const_dict
+
+
+@pytest.fixture
+def TwoConv2DTE():
+ return make_TwoConv2DTE()
+
+
+@pytest.fixture
+def TwoConv2DGraph():
+ _, te_graph, const_dict = make_TwoConv2DTE()
+ device_config = cs.EthosuDeviceConfig("ethos-u55-256")
Review comment:
`device_config` seems to have been prematurely included here when it's actually part of the follow up PR: https://github.com/apache/tvm/pull/9778
##########
File path: tests/python/contrib/test_ethosu/cascader/conftest.py
##########
@@ -0,0 +1,126 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+import pytest
+
+pytest.importorskip("ethosu.vela")
+
+import tvm
+from tvm import relay
+from tvm.relay.testing import run_opt_pass
+
+import tvm.contrib.ethosu.cascader as cs
+from .infra import create_te_graph
+from ..infra import make_ethosu_conv2d
+
+
+def make_TwoConv2DTE():
+ def _get_func():
+ ifm = relay.var("ifm", shape=(1, 12, 12, 8), dtype="int8")
+ conv1 = make_ethosu_conv2d(
+ ifm=ifm,
+ ifm_channels=8,
+ ofm_channels=32,
+ kernel_shape=(1, 1),
+ padding=(0, 0),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHWC",
+ ofm_layout="NHCWB16",
+ )
+ conv2 = make_ethosu_conv2d(
+ ifm=conv1,
+ ifm_channels=32,
+ ofm_channels=16,
+ kernel_shape=(3, 3),
+ padding=(1, 1),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHCWB16",
+ ofm_layout="NHWC",
+ )
+ func = relay.Function(relay.analysis.free_vars(conv2), conv2)
+ func = run_opt_pass(func, relay.transform.InferType())
+ return func
+
+ func = _get_func()
+ te_graph, const_dict = create_te_graph(func)
+ sch = tvm.te.create_schedule([t.op for t in te_graph.outputs])
+ return sch, te_graph, const_dict
+
+
+@pytest.fixture
+def TwoConv2DTE():
+ return make_TwoConv2DTE()
+
+
+@pytest.fixture
+def TwoConv2DGraph():
+ _, te_graph, const_dict = make_TwoConv2DTE()
+ device_config = cs.EthosuDeviceConfig("ethos-u55-256")
+ return cs.create_cascader_graph(te_graph, const_dict, device_config)
+
+
+def make_TwoConv2DWithSliceTE():
+ def _get_func():
+ ifm = relay.var("ifm", shape=(1, 12, 12, 8), dtype="int8")
+ conv1 = make_ethosu_conv2d(
+ ifm=ifm,
+ ifm_channels=8,
+ ofm_channels=64,
+ kernel_shape=(1, 1),
+ padding=(0, 0),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHWC",
+ ofm_layout="NHWC",
+ )
+ strided_slice = relay.strided_slice(conv1, [0, 0, 0, 0], [1, 6, 6, 128])
+ conv2 = make_ethosu_conv2d(
+ ifm=strided_slice,
+ ifm_channels=64,
+ ofm_channels=16,
+ kernel_shape=(3, 3),
+ padding=(1, 1),
+ strides=(1, 1),
+ dilation=(1, 1),
+ activation="NONE",
+ ifm_layout="NHWC",
+ ofm_layout="NHCWB16",
+ )
+ func = relay.Function(relay.analysis.free_vars(conv2), conv2)
+ func = run_opt_pass(func, relay.transform.InferType())
+ return func
+
+ func = _get_func()
+ te_graph, const_dict = create_te_graph(func)
+ sch = tvm.te.create_schedule([t.op for t in te_graph.outputs])
+ return sch, te_graph, const_dict
+
+
+@pytest.fixture
+def TwoConv2DWithSliceTE():
+ return make_TwoConv2DWithSliceTE()
+
+
+@pytest.fixture
+def TwoConv2DWithSliceGraph():
+ _, te_graph, const_dict = make_TwoConv2DWithSliceTE()
+ device_config = cs.EthosuDeviceConfig("ethos-u55-256")
Review comment:
Same comment as above.
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