Searched refs:folded_conv (Results 1 - 2 of 2) sorted by relevance
/external/tensorflow/tensorflow/contrib/quantize/python/ |
H A D | fold_batch_norms_test.py | 116 folded_conv = g.get_operation_by_name(scope + '/Conv2D_Fold') 117 self.assertEqual(folded_conv.type, 'Conv2D') 118 self._AssertInputOpsAre(folded_conv, 120 self._AssertOutputGoesToOps(folded_conv, g, [scope + '/post_conv_mul']) 185 folded_conv = g.get_operation_by_name(scope + '/Conv2D_Fold') 186 self.assertEqual(folded_conv.type, 'Conv2D') 187 self._AssertInputOpsAre(folded_conv, [scope + '/mul_fold', inputs.op.name]) 188 self._AssertOutputGoesToOps(folded_conv, g, [scope + '/post_conv_mul']) 248 folded_conv = g.get_operation_by_name(scope + '/MatMul_Fold') 249 self.assertEqual(folded_conv [all...] |
/external/tensorflow/tensorflow/core/grappler/optimizers/ |
H A D | arithmetic_optimizer_test.cc | 928 const NodeDef* folded_conv = node_map.GetNode(conv.node()->name()); local 929 CHECK_EQ(node_map.GetNode(NodeName(folded_conv->input(1)))->op(), "Mul"); 931 const NodeDef* transpose = node_map.GetNode(NodeName(folded_conv->input(0))); 1000 const NodeDef* folded_conv = node_map.GetNode(conv.node()->name()); local 1001 CHECK_EQ(inputs.node()->name(), NodeName(folded_conv->input(0))); 1002 CHECK_EQ(node_map.GetNode(NodeName(folded_conv->input(1)))->op(), "Mul");
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