537fa61786b167655298cbd91717496c6588c3e3,testdata/dnn/tensorflow/generate_tf_models.py,,,#,664

Before Change

    tf.import_graph_def(graph_def, name="")

    inputData = gen_data(tf.placeholder(tf.float32, [1, 4, 6, 64], inp_node))
    outputData = localSession.run(localSession.graph.get_tensor_by_name(out_node + ":0"),
                                  feed_dict={inp_node + ":0": inputData})
    writeBlob(inputData, "switch_identity_in")
    writeBlob(outputData, "switch_identity_out")

// Uncomment to print the final graph.

After Change

inp = tf.placeholder(tf.float32, [1, 2, 3, 64], "Relu_8")
runModel(inp, "conv2d_transpose_1:0", "keras_deconv_same_v2")
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
inp = tf.placeholder(tf.float32, [1, 2, 4, 3], "ContentImage")
runModel(inp, "Relu:0", "keras_batch_norm_training")


// Uncomment to print the final graph.

Instances