Original python traceback for operator 504 in network `Inception-v4` in exception above (most recent call last):
Exception KeyError: KeyError(<weakref at 0x7f15ace61998; to 'tqdm' at 0x7f15ace5ca90>,) in <bound method tqdm.__del__ of   0%|                                                                                                                                 | 0/500 [00:17<?, ?it/s]> ignored
Traceback (most recent call last):
  File "examples/evaluate_imagenet_net.py", line 131, in <module>
    run_main(args)
  File "examples/evaluate_imagenet_net.py", line 103, in run_main
    workspace.RunNet(val_model.net)
  File "/home/zhibin/qzhong/thirdparty/caffe2-python2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 215, in RunNet
    StringifyNetName(name), num_iter, allow_fail,
  File "/home/zhibin/qzhong/thirdparty/caffe2-python2/lib/python2.7/site-packages/caffe2/python/workspace.py", line 177, in CallWithExceptionIntercept
    return func(*args, **kwargs)
RuntimeError: [enforce fail at tensor.h:495] IsType<T>(). Tensor type mismatch, caller expects elements to be int while tensor contains long Error from operator:
input: "InceptionV4/Logits/PreLogitsFlatten/flatten/Shape__639:0" input: "OC2_DUMMY_28" input: "OC2_DUMMY_30" output: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice:0" name: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice" type: "Slice" device_option { device_type: 0 cuda_gpu_id: 0 }
(caffe2-python2venv) zhibin at gpu80 ~/qzhong/caffe2/caffe2_model_zoo/scripts

  node {
    input: "InceptionV4/Logits/PreLogitsFlatten/flatten/Shape__639:0"
    output: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice:0"
    name: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice"
    op_type: "Slice"
    attribute {
      name: "starts"
      ints: 0
      type: INTS
    }
    attribute {
      name: "ends"
      ints: 1
      type: INTS
    }
    attribute {
      name: "axes"
      ints: 0
      type: INTS
    }
  }

8629 op {
8630   input: "OC2_DUMMY_25"
8631   output: "OC2_DUMMY_28"
8632   name: ""
8633   type: "ConstantFill"
8634   arg {
8635     name: "dtype"
8636     i: 10
8637   }
8638   arg {
8639     name: "value"
8640     i: 0
8641   }
8642 }
8643 op {
8644   input: "OC2_DUMMY_28"
8645   input: "OC2_DUMMY_26"
8646   input: "OC2_DUMMY_27"
8647   output: "OC2_DUMMY_28"
8648   name: ""
8649   type: "ScatterAssign"
8650 }
8651 op {
8652   output: "OC2_DUMMY_29"
8653   name: ""
8654   type: "GivenTensorInt64Fill"
8655   arg {
8656     name: "shape"
8657     ints: 1
8658   }
8659   arg {
8660     name: "values"
8661     ints: 1
8662   }
8663 }
8664 op {
8665   input: "OC2_DUMMY_25"
8666   output: "OC2_DUMMY_30"
8667   name: ""
8668   type: "ConstantFill"
8669   arg {
8670     name: "dtype"
8671     i: 10
8672   }
8673   arg {
8674     name: "value"
8675     i: -1
8676   }
8677 }
8678 op {
8679   input: "OC2_DUMMY_30"
8680   input: "OC2_DUMMY_26"
8681   input: "OC2_DUMMY_29"
8682   output: "OC2_DUMMY_30"
8683   name: ""
8684   type: "ScatterAssign"
8685 }
8686 op {
8687   input: "InceptionV4/Logits/PreLogitsFlatten/flatten/Shape__639:0"
8688   input: "OC2_DUMMY_28"
8689   input: "OC2_DUMMY_30"
8690   output: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice:0"
8691   name: "InceptionV4/Logits/PreLogitsFlatten/flatten/strided_slice"
8692   type: "Slice"
8693 }

python -m tf2onnx.convert --input frozen_graph.pb --output inception_v4.onnx --inputs input:0 --outputs InceptionV4/Logits/Predictions:0

convert-onnx-to-caffe2 ./inception_v4/inception_v4.onnx --output ./inception_v4/onnx_predict_net.pb --init-net-output ./inception_v4/onnx_init_net.pb

pytorch/caffe2/onnx/backend.cc【function:     Caffe2Backend::CreateSlice】
diff --git a/caffe2/onnx/backend.cc b/caffe2/onnx/backend.cc
index 893117b..76619f7 100644
--- a/caffe2/onnx/backend.cc
+++ b/caffe2/onnx/backend.cc
@@ -918,7 +918,7 @@ Caffe2Ops Caffe2Backend::CreateSlice(
     shape_starts.add_ints(starts_vals.ints_size());
     BuildOperator(
         c2_op,
-        "GivenTensorInt64Fill",
+        "GivenTensorInt32Fill",
         {},
         {starts_vals_tensor},
         {shape_starts, starts_vals});
@@ -926,7 +926,7 @@ Caffe2Ops Caffe2Backend::CreateSlice(

   caffe2::Argument dtype;
   dtype.set_name("dtype");
-  dtype.set_i(static_cast<int64_t>(caffe2::TensorProto::INT64));
+  dtype.set_i(static_cast<int32_t>(caffe2::TensorProto::INT32));
   caffe2::Argument constant;
   constant.set_name("value");
   constant.set_i(0);
@@ -957,7 +957,7 @@ Caffe2Ops Caffe2Backend::CreateSlice(
     shape_ends.add_ints(ends_vals.ints_size());
     BuildOperator(
         c2_op,
-        "GivenTensorInt64Fill",
+        "GivenTensorInt32Fill",
         {},
         {ends_vals_tensor},
         {shape_ends, ends_vals});