How to freeze the model graph from ckpt? about text-detection-ctpn

[wanghuok]

@eragonruan I solved it. I freeze the model variables that ahead node 'rois/PyFunc/input_3'.
I specify the output nodes are 'Reshape_5' and 'rpn_bbox_pred/Reshape'.

[eragonruan]

@wanghuok are you trying to port the model to mobile? In test, the model output node is rois, you can find in here, to be more specific, rois[0]， i.e. rpn_rois is the output you need, see this link.

[wanghuok]

@eragonruan I do not want to use the model on mobile, but want to load model convenience and less memory consume.
I have saw that code. but there is no node named 'rois' in the graph.
I output all nodes in the graph. but only find 6 nodes related to 'rois'.
All nodes in graph are:
Placeholder
Placeholder_1
Placeholder_2
conv1_1/weights/Initializer/truncated_normal/shape
conv1_1/weights/Initializer/truncated_normal/mean
conv1_1/weights/Initializer/truncated_normal/stddev
conv1_1/weights/Initializer/truncated_normal/TruncatedNormal
conv1_1/weights/Initializer/truncated_normal/mul
conv1_1/weights/Initializer/truncated_normal
conv1_1/weights
conv1_1/weights/Assign
conv1_1/weights/read
conv1_1/weights/Regularizer/l2_regularizer/weight_decay
conv1_1/weights/Regularizer/l2_regularizer/L2Loss
conv1_1/weights/Regularizer/l2_regularizer/value
conv1_1/biases/Initializer/Const
conv1_1/biases
conv1_1/biases/Assign
conv1_1/biases/read
conv1_1/Conv2D
conv1_1/BiasAdd
conv1_1/conv1_1
conv1_2/weights/Initializer/truncated_normal/shape
conv1_2/weights/Initializer/truncated_normal/mean
conv1_2/weights/Initializer/truncated_normal/stddev
conv1_2/weights/Initializer/truncated_normal/TruncatedNormal
conv1_2/weights/Initializer/truncated_normal/mul
conv1_2/weights/Initializer/truncated_normal
conv1_2/weights
conv1_2/weights/Assign
conv1_2/weights/read
conv1_2/weights/Regularizer/l2_regularizer/weight_decay
conv1_2/weights/Regularizer/l2_regularizer/L2Loss
conv1_2/weights/Regularizer/l2_regularizer/value
conv1_2/biases/Initializer/Const
conv1_2/biases
conv1_2/biases/Assign
conv1_2/biases/read
conv1_2/Conv2D
conv1_2/BiasAdd
conv1_2/conv1_2
pool1
conv2_1/weights/Initializer/truncated_normal/shape
conv2_1/weights/Initializer/truncated_normal/mean
conv2_1/weights/Initializer/truncated_normal/stddev
conv2_1/weights/Initializer/truncated_normal/TruncatedNormal
conv2_1/weights/Initializer/truncated_normal/mul
conv2_1/weights/Initializer/truncated_normal
conv2_1/weights
conv2_1/weights/Assign
conv2_1/weights/read
conv2_1/weights/Regularizer/l2_regularizer/weight_decay
conv2_1/weights/Regularizer/l2_regularizer/L2Loss
conv2_1/weights/Regularizer/l2_regularizer/value
conv2_1/biases/Initializer/Const
conv2_1/biases
conv2_1/biases/Assign
conv2_1/biases/read
conv2_1/Conv2D
conv2_1/BiasAdd
conv2_1/conv2_1
conv2_2/weights/Initializer/truncated_normal/shape
conv2_2/weights/Initializer/truncated_normal/mean
conv2_2/weights/Initializer/truncated_normal/stddev
conv2_2/weights/Initializer/truncated_normal/TruncatedNormal
conv2_2/weights/Initializer/truncated_normal/mul
conv2_2/weights/Initializer/truncated_normal
conv2_2/weights
conv2_2/weights/Assign
conv2_2/weights/read
conv2_2/weights/Regularizer/l2_regularizer/weight_decay
conv2_2/weights/Regularizer/l2_regularizer/L2Loss
conv2_2/weights/Regularizer/l2_regularizer/value
conv2_2/biases/Initializer/Const
conv2_2/biases
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pool2
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conv3_1/weights/Initializer/truncated_normal/TruncatedNormal
conv3_1/weights/Initializer/truncated_normal/mul
conv3_1/weights/Initializer/truncated_normal
conv3_1/weights
conv3_1/weights/Assign
conv3_1/weights/read
conv3_1/weights/Regularizer/l2_regularizer/weight_decay
conv3_1/weights/Regularizer/l2_regularizer/L2Loss
conv3_1/weights/Regularizer/l2_regularizer/value
conv3_1/biases/Initializer/Const
conv3_1/biases
conv3_1/biases/Assign
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conv3_1/Conv2D
conv3_1/BiasAdd
conv3_1/conv3_1
conv3_2/weights/Initializer/truncated_normal/shape
conv3_2/weights/Initializer/truncated_normal/mean
conv3_2/weights/Initializer/truncated_normal/stddev
conv3_2/weights/Initializer/truncated_normal/TruncatedNormal
conv3_2/weights/Initializer/truncated_normal/mul
conv3_2/weights/Initializer/truncated_normal
conv3_2/weights
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conv3_2/weights/Regularizer/l2_regularizer/weight_decay
conv3_2/weights/Regularizer/l2_regularizer/L2Loss
conv3_2/weights/Regularizer/l2_regularizer/value
conv3_2/biases/Initializer/Const
conv3_2/biases
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conv3_2/Conv2D
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conv3_2/conv3_2
conv3_3/weights/Initializer/truncated_normal/shape
conv3_3/weights/Initializer/truncated_normal/mean
conv3_3/weights/Initializer/truncated_normal/stddev
conv3_3/weights/Initializer/truncated_normal/TruncatedNormal
conv3_3/weights/Initializer/truncated_normal/mul
conv3_3/weights/Initializer/truncated_normal
conv3_3/weights
conv3_3/weights/Assign
conv3_3/weights/read
conv3_3/weights/Regularizer/l2_regularizer/weight_decay
conv3_3/weights/Regularizer/l2_regularizer/L2Loss
conv3_3/weights/Regularizer/l2_regularizer/value
conv3_3/biases/Initializer/Const
conv3_3/biases
conv3_3/biases/Assign
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conv3_3/Conv2D
conv3_3/BiasAdd
conv3_3/conv3_3
pool3
conv4_1/weights/Initializer/truncated_normal/shape
conv4_1/weights/Initializer/truncated_normal/mean
conv4_1/weights/Initializer/truncated_normal/stddev
conv4_1/weights/Initializer/truncated_normal/TruncatedNormal
conv4_1/weights/Initializer/truncated_normal/mul
conv4_1/weights/Initializer/truncated_normal
conv4_1/weights
conv4_1/weights/Assign
conv4_1/weights/read
conv4_1/weights/Regularizer/l2_regularizer/weight_decay
conv4_1/weights/Regularizer/l2_regularizer/L2Loss
conv4_1/weights/Regularizer/l2_regularizer/value
conv4_1/biases/Initializer/Const
conv4_1/biases
conv4_1/biases/Assign
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conv4_1/Conv2D
conv4_1/BiasAdd
conv4_1/conv4_1
conv4_2/weights/Initializer/truncated_normal/shape
conv4_2/weights/Initializer/truncated_normal/mean
conv4_2/weights/Initializer/truncated_normal/stddev
conv4_2/weights/Initializer/truncated_normal/TruncatedNormal
conv4_2/weights/Initializer/truncated_normal/mul
conv4_2/weights/Initializer/truncated_normal
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conv4_3/weights/Initializer/truncated_normal/shape
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conv4_3/weights/Initializer/truncated_normal/stddev
conv4_3/weights/Initializer/truncated_normal/TruncatedNormal
conv4_3/weights/Initializer/truncated_normal/mul
conv4_3/weights/Initializer/truncated_normal
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conv4_3/weights/Regularizer/l2_regularizer/value
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pool4
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conv5_1/weights/Initializer/truncated_normal/mean
conv5_1/weights/Initializer/truncated_normal/stddev
conv5_1/weights/Initializer/truncated_normal/TruncatedNormal
conv5_1/weights/Initializer/truncated_normal/mul
conv5_1/weights/Initializer/truncated_normal
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conv5_1/weights/Assign
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conv5_1/weights/Regularizer/l2_regularizer/weight_decay
conv5_1/weights/Regularizer/l2_regularizer/L2Loss
conv5_1/weights/Regularizer/l2_regularizer/value
conv5_1/biases/Initializer/Const
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conv5_1/biases/Assign
conv5_1/biases/read
conv5_1/Conv2D
conv5_1/BiasAdd
conv5_1/conv5_1
conv5_2/weights/Initializer/truncated_normal/shape
conv5_2/weights/Initializer/truncated_normal/mean
conv5_2/weights/Initializer/truncated_normal/stddev
conv5_2/weights/Initializer/truncated_normal/TruncatedNormal
conv5_2/weights/Initializer/truncated_normal/mul
conv5_2/weights/Initializer/truncated_normal
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conv5_2/weights/Assign
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conv5_2/weights/Regularizer/l2_regularizer/L2Loss
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conv5_2/conv5_2
conv5_3/weights/Initializer/truncated_normal/shape
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conv5_3/weights/Initializer/truncated_normal/stddev
conv5_3/weights/Initializer/truncated_normal/TruncatedNormal
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conv5_3/weights/Initializer/truncated_normal
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conv5_3/biases
conv5_3/biases/Assign
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conv5_3/Conv2D
conv5_3/BiasAdd
conv5_3/conv5_3
rpn_conv/3x3/weights/Initializer/truncated_normal/shape
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rpn_conv/3x3/weights/Initializer/truncated_normal/stddev
rpn_conv/3x3/weights/Initializer/truncated_normal/TruncatedNormal
rpn_conv/3x3/weights/Initializer/truncated_normal/mul
rpn_conv/3x3/weights/Initializer/truncated_normal
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rpn_conv/3x3/weights/Assign
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rpn_conv/3x3/Conv2D
rpn_conv/3x3/BiasAdd
rpn_conv/3x3/rpn_conv/3x3
Shape
Reshape/shape
Reshape
Shape_1
strided_slice/stack
strided_slice/stack_1
strided_slice/stack_2
strided_slice
lstm_o/weights/Initializer/truncated_normal/shape
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lstm_o/weights/Initializer/truncated_normal/TruncatedNormal
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lstm_o/weights/Initializer/truncated_normal
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lstm_o/weights/Assign
lstm_o/weights/read
lstm_o/weights/Regularizer/l2_regularizer/weight_decay
lstm_o/weights/Regularizer/l2_regularizer/L2Loss
lstm_o/weights/Regularizer/l2_regularizer/value
lstm_o/biases/Initializer/Const
lstm_o/biases
lstm_o/biases/Assign
lstm_o/biases/read
lstm_o/MatMul
lstm_o/add
lstm_o/Const
lstm_o/split/split_dim
lstm_o/split
lstm_o/BasicLSTMCellZeroState/ExpandDims/dim
lstm_o/BasicLSTMCellZeroState/ExpandDims
lstm_o/BasicLSTMCellZeroState/Const
lstm_o/BasicLSTMCellZeroState/concat/axis
lstm_o/BasicLSTMCellZeroState/concat
lstm_o/BasicLSTMCellZeroState/zeros/Const
lstm_o/BasicLSTMCellZeroState/zeros
lstm_o/BasicLSTMCellZeroState/ExpandDims_1/dim
lstm_o/BasicLSTMCellZeroState/ExpandDims_1
lstm_o/BasicLSTMCellZeroState/Const_1
lstm_o/rnn/Shape
lstm_o/rnn/strided_slice/stack
lstm_o/rnn/strided_slice/stack_1
lstm_o/rnn/strided_slice/stack_2
lstm_o/rnn/strided_slice
lstm_o/rnn/rnn/basic_lstm_cell/Const
lstm_o/rnn/rnn/basic_lstm_cell/split/split_dim
lstm_o/rnn/rnn/basic_lstm_cell/split
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/shape
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/min
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/max
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/RandomUniform
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/sub
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform/mul
lstm_o/rnn/basic_lstm_cell/kernel/Initializer/random_uniform
lstm_o/rnn/basic_lstm_cell/kernel
lstm_o/rnn/basic_lstm_cell/kernel/Assign
lstm_o/rnn/basic_lstm_cell/kernel/read
lstm_o/rnn/basic_lstm_cell/bias/Initializer/Const
lstm_o/rnn/basic_lstm_cell/bias
lstm_o/rnn/basic_lstm_cell/bias/Assign
lstm_o/rnn/basic_lstm_cell/bias/read
lstm_o/rnn/rnn/basic_lstm_cell/concat/axis
lstm_o/rnn/rnn/basic_lstm_cell/concat
lstm_o/rnn/rnn/basic_lstm_cell/MatMul
lstm_o/rnn/rnn/basic_lstm_cell/BiasAdd
lstm_o/rnn/rnn/basic_lstm_cell/Const_1
lstm_o/rnn/rnn/basic_lstm_cell/split_1/split_dim
lstm_o/rnn/rnn/basic_lstm_cell/split_1
lstm_o/rnn/rnn/basic_lstm_cell/add/y
lstm_o/rnn/rnn/basic_lstm_cell/add
lstm_o/rnn/rnn/basic_lstm_cell/Sigmoid
lstm_o/rnn/rnn/basic_lstm_cell/mul
lstm_o/rnn/rnn/basic_lstm_cell/Sigmoid_1
lstm_o/rnn/rnn/basic_lstm_cell/Tanh
lstm_o/rnn/rnn/basic_lstm_cell/mul_1
lstm_o/rnn/rnn/basic_lstm_cell/add_1
lstm_o/rnn/rnn/basic_lstm_cell/Tanh_1
lstm_o/rnn/rnn/basic_lstm_cell/Sigmoid_2
lstm_o/rnn/rnn/basic_lstm_cell/mul_2
lstm_o/rnn/rnn/basic_lstm_cell/concat_1/axis
lstm_o/rnn/rnn/basic_lstm_cell/concat_1
lstm_o/strided_slice/stack
lstm_o/strided_slice/stack_1
lstm_o/strided_slice/stack_2
lstm_o/strided_slice
lstm_o/strided_slice_1/stack
lstm_o/strided_slice_1/stack_1
lstm_o/strided_slice_1/stack_2
lstm_o/strided_slice_1
lstm_o/strided_slice_2/stack
lstm_o/strided_slice_2/stack_1
lstm_o/strided_slice_2/stack_2
lstm_o/strided_slice_2
lstm_o/Reshape/shape/3
lstm_o/Reshape/shape
lstm_o/Reshape
Shape_2
Reshape_1/shape
Reshape_1
rpn_bbox_pred/weights/Initializer/truncated_normal/shape
rpn_bbox_pred/weights/Initializer/truncated_normal/mean
rpn_bbox_pred/weights/Initializer/truncated_normal/stddev
rpn_bbox_pred/weights/Initializer/truncated_normal/TruncatedNormal
rpn_bbox_pred/weights/Initializer/truncated_normal/mul
rpn_bbox_pred/weights/Initializer/truncated_normal
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rpn_bbox_pred/weights/Assign
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rpn_bbox_pred/weights/Regularizer/l2_regularizer/weight_decay
rpn_bbox_pred/weights/Regularizer/l2_regularizer/L2Loss
rpn_bbox_pred/weights/Regularizer/l2_regularizer/value
rpn_bbox_pred/biases/Initializer/Const
rpn_bbox_pred/biases
rpn_bbox_pred/biases/Assign
rpn_bbox_pred/biases/read
rpn_bbox_pred/MatMul
rpn_bbox_pred/add
rpn_bbox_pred/strided_slice/stack
rpn_bbox_pred/strided_slice/stack_1
rpn_bbox_pred/strided_slice/stack_2
rpn_bbox_pred/strided_slice
rpn_bbox_pred/strided_slice_1/stack
rpn_bbox_pred/strided_slice_1/stack_1
rpn_bbox_pred/strided_slice_1/stack_2
rpn_bbox_pred/strided_slice_1
rpn_bbox_pred/strided_slice_2/stack
rpn_bbox_pred/strided_slice_2/stack_1
rpn_bbox_pred/strided_slice_2/stack_2
rpn_bbox_pred/strided_slice_2
rpn_bbox_pred/Reshape/shape/3
rpn_bbox_pred/Reshape/shape
rpn_bbox_pred/Reshape
Shape_3
Reshape_2/shape
Reshape_2
rpn_cls_score/weights/Initializer/truncated_normal/shape
rpn_cls_score/weights/Initializer/truncated_normal/mean
rpn_cls_score/weights/Initializer/truncated_normal/stddev
rpn_cls_score/weights/Initializer/truncated_normal/TruncatedNormal
rpn_cls_score/weights/Initializer/truncated_normal/mul
rpn_cls_score/weights/Initializer/truncated_normal
rpn_cls_score/weights
rpn_cls_score/weights/Assign
rpn_cls_score/weights/read
rpn_cls_score/weights/Regularizer/l2_regularizer/weight_decay
rpn_cls_score/weights/Regularizer/l2_regularizer/L2Loss
rpn_cls_score/weights/Regularizer/l2_regularizer/value
rpn_cls_score/biases/Initializer/Const
rpn_cls_score/biases
rpn_cls_score/biases/Assign
rpn_cls_score/biases/read
rpn_cls_score/MatMul
rpn_cls_score/add
rpn_cls_score/strided_slice/stack
rpn_cls_score/strided_slice/stack_1
rpn_cls_score/strided_slice/stack_2
rpn_cls_score/strided_slice
rpn_cls_score/strided_slice_1/stack
rpn_cls_score/strided_slice_1/stack_1
rpn_cls_score/strided_slice_1/stack_2
rpn_cls_score/strided_slice_1
rpn_cls_score/strided_slice_2/stack
rpn_cls_score/strided_slice_2/stack_1
rpn_cls_score/strided_slice_2/stack_2
rpn_cls_score/strided_slice_2
rpn_cls_score/Reshape/shape/3
rpn_cls_score/Reshape/shape
rpn_cls_score/Reshape
Shape_4
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strided_slice_1/stack_1
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strided_slice_1
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strided_slice_2
Reshape_3/shape/2
Reshape_3/shape/3
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Reshape_3
Shape_5
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strided_slice_3/stack_1
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strided_slice_3
Reshape_4/shape/0
Reshape_4/shape
Reshape_4
Softmax
strided_slice_4/stack
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strided_slice_4
strided_slice_5/stack
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strided_slice_5
strided_slice_6/stack
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strided_slice_6
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rpn_cls_prob/shape
rpn_cls_prob
Shape_6
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strided_slice_7
strided_slice_8/stack
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strided_slice_8/stack_2
strided_slice_8
Reshape_5/shape/2
Reshape_5/shape/3
Reshape_5/shape
Reshape_5
rois/PyFunc/input_3
rois/PyFunc/input_4
rois/PyFunc/input_5
rois/PyFunc
rois/Reshape/shape
rois/Reshape
save/Const
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save/SaveV2/shape_and_slices
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save/control_dependency
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save/RestoreV2_2
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save/RestoreV2_3
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save/RestoreV2_4/tensor_names
save/RestoreV2_4/shape_and_slices
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save/RestoreV2_5
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save/RestoreV2_9/tensor_names
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save/RestoreV2_10/tensor_names
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save/RestoreV2_10
save/Assign_10
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[joyJZhang]

@wanghuok hello,i freeze the model,and then use it.But I find some errors.
UnknownError (see above for traceback): KeyError: 'pyfunc_0'
[[Node: rois/PyFunc = PyFunc[Tin=[DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_STRING, DT_INT32, DT_INT32], Tout=[DT_FLOAT, DT_FLOAT], token="pyfunc_0", _device="/job:localhost/replica:0/task:0/device:CPU:0"](Reshape_2/_15, rpn_bbox_pred/Reshape_1/_17, _arg_Placeholder_1_0_1, rois/PyFunc/input_3, rois/PyFunc/input_4, rois/PyFunc/input_4)]]
[[Node: rois/PyFunc/_19 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device_incarnation=1, tensor_name="edge_454_rois/PyFunc", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

[ajinkya933]

@wanghuok what are you trying to say, how did you run the pb file ??

[zzzzhuque]

@eragonruan I solved it. I freeze the model variables that ahead node 'rois/PyFunc/input_3'.
I specify the output nodes are 'Reshape_5' and 'rpn_bbox_pred/Reshape'.

Hello, I use 'Reshape_5' and 'rpn_bbox_pred/Reshape' as name node just like what you say and I've export a pb file. But I don't know how to test the pb file. Can you please give me some advice?