5.3,Manipulating TensorProto and Numpy Array importnumpy importonnx fromonnximportnumpy_helper # Preprocessing: create a Numpy array numpy_array = numpy.array([[1.0,2.0,3.0], [4.0,5.0,6.0]], dtype=float) print('Original Numpy array:\n{}\n'.format(numpy_array)) # Convert the Numpy array...
constant_node= onnx.helper.make_node(op_type='Constant', inputs=[], outputs=[output_name],name='constant1', value = value) 7,读取ONNX的参数tensor格式,转换为numpy constant节点:onnx.numpy_helper.to_array(onnx_node.attribute[0].t) initialize的参数:onnx.numpy_helper.to_array(params) 特...
import numpy import onnx from onnx import numpy_helper # Preprocessing: create a Numpy array numpy_array = numpy.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]], dtype=float) print('Original Numpy array:\n{}\n'.format(numpy_array)) # Convert the Numpy array to a TensorProto tensor = ...
importnumpyasnpimportonnxfromonnximportnumpy_helperdefcreate_initializer_tensor(name:str,tensor_array:np.ndarray,data_type:onnx.TensorProto=onnx.TensorProto.FLOAT)->onnx.TensorProto:initializer=onnx.helper.make_tensor(name=name,data_type=data_type,dims=tensor_array.shape,vals=tensor_array.flatten(...
importnumpyimportonnx from onnximportnumpy_helper # Preprocessing:create a Numpy array numpy_array=numpy.array([[1.0,2.0,3.0],[4.0,5.0,6.0]],dtype=float)print('Original Numpy array:\n{}\n'.format(numpy_array))# Convert the Numpy array to a TensorProto ...
# convert the TensorProto to a Numpy array new_array = numpy_helper.to_array(tensor) print("After round trip, Numpy array:\n{}\n".format(new_array)) tensorproto_name = "../../data/tensor.pb" # save the TensorProto with open(tensorproto_name, 'wb') as f: ...
output_node = onnx.helper.make_tensor_value_info(name=output, elem_type=type, shape=[1,3,224]) model.graph.output.append(output_node) 1. 2. 5,增加参数节点 params = numpy_helper.from_array(numpy, name='p_name') model.graph.initializer.append(params) ...
Bump Numpy minimal version to 1.20 (#5902) Fix endianness conversion in numpy_helper.to_array() (#5904) Add valueinfos field to FunctionProto (#5903) Remove deprecated properties from FormalParameter (#5921) Add proto support for overloaded functions (#5011) Add parser support for int4 types...
data = numpy_helper.from_array([1, 2, 3, 4], name='data') index = numpy_helper.from_array([1, 3], name='index') gather_node = onnx.helper.make_node( 'Gather', inputs=['data', 'index'], outputs=['gather_output'] ) graph_def = onnx.helper.make_graph( nodes=[gather_nod...
conv_node = helper.make_node("Conv",['conv_input','conv_weight','conv_bias'],['conv_output'],name='conv') add_node = helper.make_node('Add',['conv_output','add_input'],['output'],name='add') 通过make_node构建节点,参数分别表示onnx算子,输入名称、...