diff options
Diffstat (limited to 'tools/python/convert_from_tensorflow.py')
| -rw-r--r-- | tools/python/convert_from_tensorflow.py | 17 |
1 files changed, 16 insertions, 1 deletions
diff --git a/tools/python/convert_from_tensorflow.py b/tools/python/convert_from_tensorflow.py index 1437ad358d..a663b34004 100644 --- a/tools/python/convert_from_tensorflow.py +++ b/tools/python/convert_from_tensorflow.py @@ -70,7 +70,7 @@ class TFConverter: self.converted_nodes = set() self.conv2d_scope_names = set() self.conv2d_scopename_inputname_dict = {} - self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3} + self.op2code = {'Conv2D':1, 'DepthToSpace':2, 'MirrorPad':3, 'Maximum':4} self.mirrorpad_mode = {'CONSTANT':0, 'REFLECT':1, 'SYMMETRIC':2} self.name_operand_dict = {} @@ -200,6 +200,19 @@ class TFConverter: np.array([input_operand_index, output_operand_index], dtype=np.uint32).tofile(f) + def dump_maximum_to_file(self, node, f): + assert(node.op == 'Maximum') + self.layer_number = self.layer_number + 1 + ynode = self.name_node_dict[node.input[1]] + y = ynode.attr['value'].tensor.float_val[0] + np.array([self.op2code[node.op]], dtype=np.uint32).tofile(f) + np.array([y], dtype=np.float32).tofile(f) + self.converted_nodes.add(node.name) + input_operand_index = self.add_operand(node.input[0], Operand.IOTYPE_INPUT) + output_operand_index = self.add_operand(node.name, Operand.IOTYPE_OUTPUT) + np.array([input_operand_index, output_operand_index], dtype=np.uint32).tofile(f) + + def dump_layers_to_file(self, f): for node in self.nodes: if node.name in self.converted_nodes: @@ -216,6 +229,8 @@ class TFConverter: self.dump_depth2space_to_file(node, f) elif node.op == 'MirrorPad': self.dump_mirrorpad_to_file(node, f) + elif node.op == 'Maximum': + self.dump_maximum_to_file(node, f) def dump_operands_to_file(self, f): |