rajanagpal
commented
5 years ago some time i face this error {"status": 201, "data": "('The name \"activation_1\" is used 2 times in the model. All layer names should be unique. Layer names: ', ['input_image', 'zero_padding2d_1', 'conv1', 'bn_conv1', 'activation_1', 'max_pooling2d_1', 'res2a_branch2a', 'bn2a_branch2a', 'activation_2', 'res2a_branch2b', 'bn2a_branch2b', 'activation_3', 'res2a_branch2c', 'res2a_branch1', 'bn2a_branch2c', 'bn2a_branch1', 'add_1', 'res2a_out', 'res2b_branch2a', 'bn2b_branch2a', 'activation_4', 'res2b_branch2b', 'bn2b_branch2b', 'activation_5', 'res2b_branch2c', 'bn2b_branch2c', 'add_2', 'res2b_out', 'res2c_branch2a', 'bn2c_branch2a', 'activation_6', 'res2c_branch2b', 'bn2c_branch2b', 'activation_7', 'res2c_branch2c', 'bn2c_branch2c', 'add_3', 'res2c_out', 'res3a_branch2a', 'bn3a_branch2a', 'activation_8', 'res3a_branch2b', 'bn3a_branch2b', 'activation_9', 'res3a_branch2c', 'res3a_branch1', 'bn3a_branch2c', 'bn3a_branch1', 'add_4', 'res3a_out', 'res3b_branch2a', 'bn3b_branch2a', 'activation_10', 'res3b_branch2b', 'bn3b_branch2b', 'activation_11', 'res3b_branch2c', 'bn3b_branch2c', 'add_5', 'res3b_out', 'res3c_branch2a', 'bn3c_branch2a', 'activation_12', 'res3c_branch2b', 'bn3c_branch2b', 'activation_13', 'res3c_branch2c', 'bn3c_branch2c', 'add_6', 'res3c_out', 'res3d_branch2a', 'bn3d_branch2a', 'activation_14', 'res3d_branch2b', 'bn3d_branch2b', 'activation_15', 'res3d_branch2c', 'bn3d_branch2c', 'add_7', 'res3d_out', 'res4a_branch2a', 'bn4a_branch2a', 'activation_16', 'res4a_branch2b', 'bn4a_branch2b', 'activation_17', 'res4a_branch2c', 'res4a_branch1', 'bn4a_branch2c', 'bn4a_branch1', 'add_8', 'res4a_out', 'res4b_branch2a', 'bn4b_branch2a', 'activation_18', 'res4b_branch2b', 'bn4b_branch2b', 'activation_19', 'res4b_branch2c', 'bn4b_branch2c', 'add_9', 'res4b_out', 'res4c_branch2a', 'bn4c_branch2a', 'activation_20', 'res4c_branch2b', 'bn4c_branch2b', 'activation_21', 'res4c_branch2c', 'bn4c_branch2c', 'add_10', 'res4c_out', 'res4d_branch2a', 'bn4d_branch2a', 'activation_22', 'res4d_branch2b', 'bn4d_branch2b', 'activation_23', 'res4d_branch2c', 'bn4d_branch2c', 'add_11', 'res4d_out', 'res4e_branch2a', 'bn4e_branch2a', 'activation_24', 'res4e_branch2b', 'bn4e_branch2b', 'activation_25', 'res4e_branch2c', 'bn4e_branch2c', 'add_12', 'res4e_out', 'res4f_branch2a', 'bn4f_branch2a', 'activation_26', 'res4f_branch2b', 'bn4f_branch2b', 'activation_27', 'res4f_branch2c', 'bn4f_branch2c', 'add_13', 'res4f_out', 'res4g_branch2a', 'bn4g_branch2a', 'activation_28', 'res4g_branch2b', 'bn4g_branch2b', 'activation_29', 'res4g_branch2c', 'bn4g_branch2c', 'add_14', 'res4g_out', 'res4h_branch2a', 'bn4h_branch2a', 'activation_30', 'res4h_branch2b', 'bn4h_branch2b', 'activation_31', 'res4h_branch2c', 'bn4h_branch2c', 'add_15', 'res4h_out', 'res4i_branch2a', 'bn4i_branch2a', 'activation_32', 'res4i_branch2b', 'bn4i_branch2b', 'activation_33', 'res4i_branch2c', 'bn4i_branch2c', 'add_16', 'res4i_out', 'res4j_branch2a', 'bn4j_branch2a', 'activation_34', 'res4j_branch2b', 'bn4j_branch2b', 'activation_35', 'res4j_branch2c', 'bn4j_branch2c', 'add_17', 'res4j_out', 'res4k_branch2a', 'bn4k_branch2a', 'activation_36', 'res4k_branch2b', 'bn4k_branch2b', 'activation_37', 'res4k_branch2c', 'bn4k_branch2c', 'add_18', 'res4k_out', 'res4l_branch2a', 'bn4l_branch2a', 'activation_38', 'res4l_branch2b', 'bn4l_branch2b', 'activation_39', 'res4l_branch2c', 'bn4l_branch2c', 'add_19', 'res4l_out', 'res4m_branch2a', 'bn4m_branch2a', 'activation_40', 'res4m_branch2b', 'bn4m_branch2b', 'activation_41', 'res4m_branch2c', 'bn4m_branch2c', 'add_20', 'res4m_out', 'res4n_branch2a', 'bn4n_branch2a', 'activation_42', 'res4n_branch2b', 'bn4n_branch2b', 'activation_43', 'res4n_branch2c', 'bn4n_branch2c', 'add_21', 'res4n_out', 'res4o_branch2a', 'bn4o_branch2a', 'activation_44', 'res4o_branch2b', 'bn4o_branch2b', 'activation_45', 'res4o_branch2c', 'bn4o_branch2c', 'add_22', 'res4o_out', 'res4p_branch2a', 'bn4p_branch2a', 'activation_46', 'res4p_branch2b', 'bn4p_branch2b', 'activation_47', 'res4p_branch2c', 'bn4p_branch2c', 'add_23', 'res4p_out', 'res4q_branch2a',
i am using flask so i face this error when i hit 2 or more predict api using same time error is Cannot interpret feed_dict key as Tensor: Tensor Tensor(\"Placeholder:0\", shape=(7, 7, 3, 64), dtype=float32) is not an element of this graph."
please help me