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onnx.onnx_ml_pb2.ModelProto.362eec6a

onnx.onnx_ml_pb2.ModelProto.362eec6a

Visibility: public Uploaded 20-06-2019 by Veselin Minev onnx==1.5.0 mxnet==1.4.1 numpy>=1.6.1 scipy>=1.2.1 1 runs
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  • onnx onnx_1.5.0 openml-python python
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Automatically created ONNX flow.

Parameters

backenddefault: {"irVersion": "5", "opsetImport": [{"version": "10"}]}
initializer_0_fullyconnected0_weightdefault: {"dataType": 1, "dims": ["1024", "4"], "name": "fullyconnected0_weight"}
initializer_1_fullyconnected0_biasdefault: {"dataType": 1, "dims": ["1024"], "name": "fullyconnected0_bias"}
initializer_2_fullyconnected1_weightdefault: {"dataType": 1, "dims": ["2", "1024"], "name": "fullyconnected1_weight"}
initializer_3_fullyconnected1_biasdefault: {"dataType": 1, "dims": ["2"], "name": "fullyconnected1_bias"}
input_0_datadefault: {"name": "data", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "4"}]}}}}
input_1_fullyconnected0_weightdefault: {"name": "fullyconnected0_weight", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "1024"}, {"dimValue": "4"}]}}}}
input_2_fullyconnected0_biasdefault: {"name": "fullyconnected0_bias", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "1024"}]}}}}
input_3_fullyconnected1_weightdefault: {"name": "fullyconnected1_weight", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "2"}, {"dimValue": "1024"}]}}}}
input_4_fullyconnected1_biasdefault: {"name": "fullyconnected1_bias", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "2"}]}}}}
namedefault: mxnet_converted_model
node_0_fullyconnected0default: {"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["data", "fullyconnected0_weight", "fullyconnected0_bias"], "name": "fullyconnected0", "opType": "Gemm", "output": ["fullyconnected0"]}
node_1_activation0default: {"input": ["fullyconnected0"], "name": "activation0", "opType": "Relu", "output": ["activation0"]}
node_2_dropout0default: {"attribute": [{"f": 0.4000000059604645, "name": "ratio", "type": "FLOAT"}], "input": ["activation0"], "name": "dropout0", "opType": "Dropout", "output": ["dropout0"]}
node_3_fullyconnected1default: {"attribute": [{"f": 1.0, "name": "alpha", "type": "FLOAT"}, {"f": 1.0, "name": "beta", "type": "FLOAT"}, {"i": "0", "name": "transA", "type": "INT"}, {"i": "1", "name": "transB", "type": "INT"}], "input": ["dropout0", "fullyconnected1_weight", "fullyconnected1_bias"], "name": "fullyconnected1", "opType": "Gemm", "output": ["fullyconnected1"]}
node_4_softmaxdefault: {"attribute": [{"i": "1", "name": "axis", "type": "INT"}], "input": ["fullyconnected1"], "name": "softmax", "opType": "Softmax", "output": ["softmax"]}
output_0_softmaxdefault: {"name": "softmax", "type": {"tensorType": {"elemType": 1, "shape": {"dim": [{"dimValue": "64"}, {"dimValue": "2"}]}}}}

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