def extract(cls, node):
proto_layer = node.pb
param = proto_layer.argmax_param
update_attrs = {
'out_max_val': int(param.out_max_val),
'top_k': param.top_k,
'axis': param.axis,
}
mapping_rule = merge_attrs(param, update_attrs)
ArgMaxOp.update_node_stat(node, mapping_rule)
# ArgMax must be converted to TopK but without the output with values
ArgMaxOp.update_node_stat(node, {'remove_values_output': True})
return cls.enabled
def extract(cls, node):
keepdims = onnx_attr(node, 'keepdims', 'i', default=1)
axis = onnx_attr(node, 'axis', 'i', default=0)
attrs = {
'axis': axis,
# ONNX ArgMax always computes an index of one maximum value
'top_k': 1,
'out_max_val': 0,
# Set attribute to trigger ArgMax replacer in case do not keep the dimension
'keepdims': keepdims
}
ArgMaxOp.update_node_stat(node, attrs)
return cls.enabled
def extract(cls, node):
ArgMaxOp.update_node_stat(
node, {
'out_max_val':
0,
'top_k':
1,
'axis':
None,
'dim_attrs': ['axis'],
'keepdims':
0,
'remove_values_output':
True,
'output_type':
tf_dtype_extractor(node.pb.attr['out_type'].type, np.int64),
})
return cls.enabled
def extract(cls, node):
ArgMaxOp.update_node_stat(node, {'out_max_val': 0, 'top_k': 1, 'axis': None,
'dim_attrs': ['axis'], 'keepdims': 0, 'remove_values_output': True})
return cls.enabled
