| |
| |
|
|
|
|
|
|
|
|
|
|
|
|
| import copy |
| import numpy as np |
| from caffe2.proto import caffe2_pb2 |
| from caffe2.python import core |
| from onnx import TensorProto |
|
|
| import caffe2.python.onnx.frontend as c2_onnx |
| from caffe2.python.onnx.helper import c2_native_run_net |
| from caffe2.python.onnx.tests.test_utils import TestCase |
|
|
|
|
| class TestFrontendSSAConversion(TestCase): |
| def test_ssa(self): |
| X = np.random.randn(4, 2).astype(np.float32) |
| W = np.random.randn(3, 2).astype(np.float32) |
| b = np.random.randn(3).astype(np.float32) |
| s = np.random.randn(1).astype(np.float32) |
| np_result = X.dot(W.transpose()) + b + s |
|
|
| net = caffe2_pb2.NetDef() |
| net.name = 'test-ssa' |
| net.external_input[:] = ['W', 'X', 'b', 's'] |
| net.op.extend([ |
| core.CreateOperator( |
| 'FC', |
| ['X', 'W', 'b'], |
| ['Y'] |
| ), |
| core.CreateOperator( |
| 'Add', |
| ['Y', 's'], |
| ['Y'], |
| broadcast=True, |
| ) |
| ]) |
| net.external_output[:] = ['Y'] |
|
|
| init_net = caffe2_pb2.NetDef() |
| init_net.name = 'test-ssa-init' |
| init_net.op.extend([ |
| core.CreateOperator( |
| 'GivenTensorFill', |
| [], |
| ['W'], |
| values=W, |
| shape=W.shape, |
| ), |
| core.CreateOperator( |
| 'GivenTensorFill', |
| [], |
| ['b'], |
| values=b, |
| shape=b.shape, |
| ), |
| core.CreateOperator( |
| 'GivenTensorFill', |
| [], |
| ['s'], |
| values=s, |
| shape=s.shape, |
| ) |
| ]) |
| init_net.external_output[:] = ['W', 'b', 's'] |
|
|
| _, orig_output = c2_native_run_net( |
| predict_net=net, |
| init_net=init_net, |
| inputs=[X]) |
|
|
| value_info = {'X': (TensorProto.FLOAT, X.shape)} |
| c2_onnx.Caffe2Frontend._ssa_rewrite( |
| net, |
| init_net, |
| value_info) |
|
|
| self.assertEqual(net.external_input, ['W', 'X', 'b', 's']) |
| self.assertEqual(net.op[0].input, ['X', 'W', 'b']) |
| self.assertEqual(net.op[0].output, ['Y_1']) |
| self.assertEqual(net.op[1].input, ['Y_1', 's']) |
| self.assertEqual(net.op[1].output, ['Y_2']) |
| self.assertEqual(net.external_output, ['Y_2']) |
|
|
| self.assertEqual(init_net.external_input, []) |
| self.assertEqual(init_net.op[0].input, []) |
| self.assertEqual(init_net.op[0].output, ['W']) |
| self.assertEqual(init_net.op[1].input, []) |
| self.assertEqual(init_net.op[1].output, ['b']) |
| self.assertEqual(init_net.op[2].input, []) |
| self.assertEqual(init_net.op[2].output, ['s']) |
| self.assertEqual(init_net.external_output, ['W', 'b', 's']) |
| self.assertEqual(value_info, {'X': (TensorProto.FLOAT, X.shape)}) |
|
|
| _, ssa_output = c2_native_run_net( |
| predict_net=net, |
| init_net=init_net, |
| inputs=[X]) |
|
|
| self.assertSameOutputs(ssa_output, orig_output) |
| self.assertSameOutputs(ssa_output, [np_result]) |
|
|
| def test_idempotence(self): |
| net = caffe2_pb2.NetDef() |
| net.name = 'test-idempotence' |
| net.external_input[:] = ['W', 'X', 'b', 's'] |
| net.op.extend([ |
| core.CreateOperator( |
| 'FC', |
| ['X', 'W', 'b'], |
| ['Y'] |
| ), |
| core.CreateOperator( |
| 'Add', |
| ['Y', 's'], |
| ['Z'], |
| broadcast=True, |
| ) |
| ]) |
| net.external_output[:] = ['Z'] |
|
|
| value_info = {'X': (TensorProto.FLOAT, [4, 2])} |
| net_copy = copy.deepcopy(net) |
| c2_onnx.Caffe2Frontend._ssa_rewrite( |
| net_copy, |
| None, |
| value_info) |
| self.assertEqual(net, net_copy) |
|
|
