# Pipeline to pipeline examples

This examples illustrates a series of Pipelines that are joined together.

## Before you begin

1. Ensure that you have [installed Seldon Core 2](/seldon-core-2/installation/production-environment.md#installing-seldon-core-2) in the namespace `seldon-mesh`.
2. Ensure that you are performing these steps in the directory where you have downloaded the [samples](https://github.com/SeldonIO/seldon-core/tree/v2/samples).
3. Get the IP address of the Seldon Core 2 instance running with Istio:

```bash
ISTIO_INGRESS=$(kubectl get svc seldon-mesh -n seldon-mesh -o jsonpath='{.status.loadBalancer.ingress[0].ip}')

echo "Seldon Core 2: http://$ISTIO_INGRESS"
```

{% hint style="info" %}
Make a note of the IP address that is displayed in the output. Replace \<INGRESS\_IP> with your service mesh's ingress IP address in the following commands.
{% endhint %}

### Models Used

* `gs://seldon-models/triton/simple` an example Triton tensorflow model that takes 2\
  inputs INPUT0 and INPUT1 and adds them to produce OUTPUT0 and also subtracts `INPUT1`\
  from `INPUT0` to produce OUTPUT1. See [here](https://github.com/triton-inference-server/server/tree/main/docs/examples/model_repository/simple)\
  for the original source code and license.
* Other models can be found at <https://github.com/SeldonIO/triton-python-examples>

### Pipeline pulling from one other Pipeline

![pipeline-to-pipeline](/files/XMy7xlNt06nUDJX0VBjF)

```bash
cat ./models/tfsimple1.yaml
cat ./models/tfsimple2.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple1
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple2
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki

```

```bash
kubectl create -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl create -f ./models/tfsimple2.yaml -n seldon-mesh
```

```output
model.mlops.seldon.io/tfsimple1 created
model.mlops.seldon.io/tfsimple2 created
```

```bash
kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
```

```outputs
model.mlops.seldon.io/tfsimple1 condition met
model.mlops.seldon.io/tfsimple2 condition met
```

```bash
cat ./pipelines/tfsimple.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple
spec:
  steps:
    - name: tfsimple1
  output:
    steps:
    - tfsimple1

```

```bash
kubectl create -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
cat ./pipelines/tfsimple-extended.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2

```

```bash
kubectl create -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -H "x-request-id: test-id" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .

```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --header x-request-id=test-id --inference-host <INGRESS_IP>:80 \
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}'
```

```json
{
	"model_name": "",
	"outputs": [
		{
			"data": [
				2,
				4,
				6,
				8,
				10,
				12,
				14,
				16,
				18,
				20,
				22,
				24,
				26,
				28,
				30,
				32
			],
			"name": "OUTPUT0",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		},
		{
			"data": [
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0
			],
			"name": "OUTPUT1",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		}
	]
}

```

{% endtab %}
{% endtabs %}

```bash
seldon pipeline inspect tfsimple
```

```bash
seldon.default.model.tfsimple1.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.model.tfsimple1.outputs	test-id	{"modelName":"tfsimple1_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}
seldon.default.pipeline.tfsimple.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.pipeline.tfsimple.outputs	test-id	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended
```

```bash
seldon.default.model.tfsimple2.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.model.tfsimple2.outputs	test-id	{"modelName":"tfsimple2_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}
seldon.default.pipeline.tfsimple-extended.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended.outputs	test-id	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}

```

```bash
kubectl delete -f ./pipelines/tfsimple.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
```

```bash
kubectl delete -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl delete -f ./models/tfsimple2.yaml -n seldon-mesh
```

### Pipeline pulling from two other Pipelines

![pipeline-to-pipeline](/files/qp6JJByr3YypkBRYF0MC)

```bash
cat ./models/tfsimple1.yaml
cat ./models/tfsimple2.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple1
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple2
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki

```

```bash
kubectl create -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl create -f ./models/tfsimple2.yaml -n seldon-mesh
```

```output
model.mlops.seldon.io/tfsimple1 created
model.mlops.seldon.io/tfsimple2 created
```

```bash
kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
```

```outputs
model.mlops.seldon.io/tfsimple1 condition met
model.mlops.seldon.io/tfsimple2 condition met
```

```bash
cat ./pipelines/tfsimple.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple
spec:
  steps:
    - name: tfsimple1
  output:
    steps:
    - tfsimple1

```

```bash
kubectl create -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
cat ./pipelines/tfsimple-extended.yaml
echo "---"
cat ./pipelines/tfsimple-extended2.yaml
echo "---"
cat ./pipelines/tfsimple-combined.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended2
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-combined
spec:
  input:
    externalInputs:
      - tfsimple-extended.outputs.OUTPUT0
      - tfsimple-extended2.outputs.OUTPUT1
    tensorMap:
      tfsimple-extended.outputs.OUTPUT0: INPUT0
      tfsimple-extended2.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2

```

```bash
kubectl create -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
kubectl create -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh
kubectl create -f ./pipelines/tfsimple-combined.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended created
pipeline.mlops.seldon.io/tfsimple-extended2 created
pipeline.mlops.seldon.io/tfsimple-combined created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended condition met
pipeline.mlops.seldon.io/tfsimple-extended2 condition met
pipeline.mlops.seldon.io/tfsimple-combined condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -H "x-request-id: test-id2" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --header x-request-id=test-id2 --inference-host <INGRESS_IP>:80 \
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}'
```

```json
{
	"model_name": "",
	"outputs": [
		{
			"data": [
				2,
				4,
				6,
				8,
				10,
				12,
				14,
				16,
				18,
				20,
				22,
				24,
				26,
				28,
				30,
				32
			],
			"name": "OUTPUT0",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		},
		{
			"data": [
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0
			],
			"name": "OUTPUT1",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		}
	]
}

```

{% endtab %}
{% endtabs %}

```bash
seldon pipeline inspect tfsimple
```

```bash
seldon.default.model.tfsimple1.inputs	test-id2	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.model.tfsimple1.outputs	test-id2	{"modelName":"tfsimple1_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}
seldon.default.pipeline.tfsimple.inputs	test-id2	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.pipeline.tfsimple.outputs	test-id2	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended --offset 2 --verbose
```

```bash
seldon.default.model.tfsimple2.inputs	test-id2	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}		x-request-id=[test-id2]	x-forwarded-proto=[http]	x-seldon-route=[:tfsimple1_1:]	x-envoy-upstream-service-time=[1]	pipeline=[tfsimple-extended]	traceparent=[00-e438b82ad361ac2d5481bcfc494074d2-e468d06afdab8f52-01]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id]	x-forwarded-proto=[http]	x-envoy-upstream-service-time=[5]	x-seldon-route=[:tfsimple1_1:]
seldon.default.model.tfsimple2.outputs	test-id2	{"modelName":"tfsimple2_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}		x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id2]	x-forwarded-proto=[http]	x-seldon-route=[:tfsimple1_1: :tfsimple2_1:]	x-envoy-upstream-service-time=[1]	pipeline=[tfsimple-extended]	traceparent=[00-e438b82ad361ac2d5481bcfc494074d2-73bd1ee54a94d8fb-01]
seldon.default.pipeline.tfsimple-extended.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}		pipeline=[tfsimple-extended]	traceparent=[00-3a6047efa647efc2b3fc5266ae023d23-fee12926788ce3b6-01]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id]	x-forwarded-proto=[http]	x-envoy-upstream-service-time=[5]	x-seldon-route=[:tfsimple1_1:]
seldon.default.pipeline.tfsimple-extended.inputs	test-id2	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}		x-forwarded-proto=[http]	x-seldon-route=[:tfsimple1_1:]	x-envoy-upstream-service-time=[1]	pipeline=[tfsimple-extended]	traceparent=[00-e438b82ad361ac2d5481bcfc494074d2-4df8459a992e0278-01]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id2]
seldon.default.pipeline.tfsimple-extended.outputs	test-id	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}		pipeline=[tfsimple-extended]	traceparent=[00-3a6047efa647efc2b3fc5266ae023d23-b2f899a739c5cafd-01]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id]	x-forwarded-proto=[http]	x-envoy-upstream-service-time=[5]	x-seldon-route=[:tfsimple1_1: :tfsimple2_1:]
seldon.default.pipeline.tfsimple-extended.outputs	test-id2	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}		x-envoy-upstream-service-time=[1]	pipeline=[tfsimple-extended]	traceparent=[00-e438b82ad361ac2d5481bcfc494074d2-dfa399143feec23d-01]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[test-id2]	x-forwarded-proto=[http]	x-seldon-route=[:tfsimple1_1: :tfsimple2_1:]

```

```bash
seldon pipeline inspect tfsimple-extended2 --offset 2
```

```bash
seldon.default.pipeline.tfsimple-extended2.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}
seldon.default.pipeline.tfsimple-extended2.outputs	test-id	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}

```

```bash
seldon pipeline inspect tfsimple-combined
```

```bash
seldon.default.model.tfsimple2.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.model.tfsimple2.outputs	test-id	{"modelName":"tfsimple2_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}
seldon.default.pipeline.tfsimple-combined.inputs	test-id	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.pipeline.tfsimple-combined.outputs	test-id	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}

```

```bash
kubectl delete -f ./pipelines/tfsimple-combined.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh
```

```bash
kubectl delete -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl delete -f ./models/tfsimple2.yaml -n seldon-mesh
```

### Pipeline pullin from one pipeline with a trigger to another

![pipeline-to-pipeline](/files/zUossYJO5Q4iHYpKuLoq)

```bash
cat ./models/tfsimple1.yaml
cat ./models/tfsimple2.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple1
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple2
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki

```

```bash
kubectl create -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl create -f ./models/tfsimple2.yaml -n seldon-mesh
```

```output
model.mlops.seldon.io/tfsimple1 created
model.mlops.seldon.io/tfsimple2 created
```

```bash
kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
```

```outputs
model.mlops.seldon.io/tfsimple1 condition met
model.mlops.seldon.io/tfsimple2 condition met
```

```bash
cat ./pipelines/tfsimple.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple
spec:
  steps:
    - name: tfsimple1
  output:
    steps:
    - tfsimple1

```

```bash
kubectl create -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
cat ./pipelines/tfsimple-extended.yaml
echo "---"
cat ./pipelines/tfsimple-extended2.yaml
echo "---"
cat ./pipelines/tfsimple-combined-trigger.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended2
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-combined-trigger
spec:
  input:
    externalInputs:
      - tfsimple-extended.outputs
    externalTriggers:
      - tfsimple-extended2.outputs
    tensorMap:
      tfsimple-extended.outputs.OUTPUT0: INPUT0
      tfsimple-extended.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2

```

```bash
kubectl create -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
kubectl create -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh
kubectl create -f ./pipelines/tfsimple-combined-trigger.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended created
pipeline.mlops.seldon.io/tfsimple-extended2 created
pipeline.mlops.seldon.io/tfsimple-combined-trigger created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended condition met
pipeline.mlops.seldon.io/tfsimple-extended2 condition met
pipeline.mlops.seldon.io/tfsimple-combined-trigger condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -H "x-request-id: test-id3" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --header x-request-id=test-id3 --inference-host <INGRESS_IP>:80 \
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}'
```

```json
{
	"model_name": "",
	"outputs": [
		{
			"data": [
				2,
				4,
				6,
				8,
				10,
				12,
				14,
				16,
				18,
				20,
				22,
				24,
				26,
				28,
				30,
				32
			],
			"name": "OUTPUT0",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		},
		{
			"data": [
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0
			],
			"name": "OUTPUT1",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		}
	]
}

```

{% endtab %}
{% endtabs %}

```bash
seldon pipeline inspect tfsimple
```

```bash
seldon.default.model.tfsimple1.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.model.tfsimple1.outputs	test-id3	{"modelName":"tfsimple1_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}
seldon.default.pipeline.tfsimple.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]}}]}
seldon.default.pipeline.tfsimple.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended --offset 2
```

```bash
seldon.default.model.tfsimple2.outputs	test-id3	{"modelName":"tfsimple2_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}
seldon.default.pipeline.tfsimple-extended.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}
seldon.default.pipeline.tfsimple-extended.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended2 --offset 2
```

```bash
seldon.default.model.tfsimple2.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}
seldon.default.pipeline.tfsimple-extended2.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}]}

```

```bash
seldon pipeline inspect tfsimple-combined-trigger
```

```bash
seldon.default.model.tfsimple2.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.model.tfsimple2.outputs	test-id3	{"modelName":"tfsimple2_1", "modelVersion":"1", "outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}
seldon.default.pipeline.tfsimple-combined-trigger.inputs	test-id3	{"inputs":[{"name":"INPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}, {"name":"INPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32]}}], "rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==", "AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.pipeline.tfsimple-combined-trigger.outputs	test-id3	{"outputs":[{"name":"OUTPUT0", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]}}, {"name":"OUTPUT1", "datatype":"INT32", "shape":["1", "16"], "contents":{"intContents":[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}}]}

```

```bash
kubectl delete -f ./pipelines/tfsimple-combined-trigger.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh
```

```bash
kubectl delete -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl delete -f ./models/tfsimple2.yaml -n seldon-mesh
```

### Pipeline pulling from one other Pipeline Step

![pipeline-to-pipeline](/files/5dQcUfvio6gfCaC6t8Kf)

```bash
cat ./models/tfsimple1.yaml
cat ./models/tfsimple2.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple1
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple2
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki

```

```bash
kubectl create -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl create -f ./models/tfsimple2.yaml -n seldon-mesh
```

```output
model.mlops.seldon.io/tfsimple1 created
model.mlops.seldon.io/tfsimple2 created
```

```bash
kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
```

```outputs
model.mlops.seldon.io/tfsimple1 condition met
model.mlops.seldon.io/tfsimple2 condition met
```

```bash
cat ./pipelines/tfsimple.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple
spec:
  steps:
    - name: tfsimple1
  output:
    steps:
    - tfsimple1

```

```bash
kubectl create -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
cat ./pipelines/tfsimple-extended-step.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended-step
spec:
  input:
    externalInputs:
      - tfsimple.step.tfsimple1.outputs
    tensorMap:
      tfsimple.step.tfsimple1.outputs.OUTPUT0: INPUT0
      tfsimple.step.tfsimple1.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2

```

```bash
kubectl create -f ./pipelines/tfsimple-extended-step.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended-step created
```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended-step condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple \
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}'
```

```json
{
	"model_name": "",
	"outputs": [
		{
			"data": [
				2,
				4,
				6,
				8,
				10,
				12,
				14,
				16,
				18,
				20,
				22,
				24,
				26,
				28,
				30,
				32
			],
			"name": "OUTPUT0",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		},
		{
			"data": [
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0,
				0
			],
			"name": "OUTPUT1",
			"shape": [
				1,
				16
			],
			"datatype": "INT32"
		}
	]
}

```

{% endtab %}
{% endtabs %}

```bash
seldon pipeline inspect tfsimple --verbose
```

```bash
seldon.default.model.tfsimple1.inputs	cg5g6ogfh5ss73a44vvg	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}}]}		pipeline=[tfsimple]	traceparent=[00-2c66ff815d920ad238365be52a4467f5-90824e4cb70c3242-01]	x-forwarded-proto=[http]	x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[cg5g6ogfh5ss73a44vvg]
seldon.default.model.tfsimple1.outputs	cg5g6ogfh5ss73a44vvg	{"modelName":"tfsimple1_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}		x-request-id=[cg5g6ogfh5ss73a44vvg]	pipeline=[tfsimple]	x-envoy-upstream-service-time=[8]	x-seldon-route=[:tfsimple1_1:]	traceparent=[00-2c66ff815d920ad238365be52a4467f5-ca023a540fa463b3-01]	x-forwarded-proto=[http]	x-envoy-expected-rq-timeout-ms=[60000]
seldon.default.pipeline.tfsimple.inputs	cg5g6ogfh5ss73a44vvg	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}}]}		pipeline=[tfsimple]	x-request-id=[cg5g6ogfh5ss73a44vvg]	traceparent=[00-2c66ff815d920ad238365be52a4467f5-843d6ce39292396d-01]	x-forwarded-proto=[http]	x-envoy-expected-rq-timeout-ms=[60000]
seldon.default.pipeline.tfsimple.outputs	cg5g6ogfh5ss73a44vvg	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}		x-envoy-expected-rq-timeout-ms=[60000]	x-request-id=[cg5g6ogfh5ss73a44vvg]	x-envoy-upstream-service-time=[8]	x-seldon-route=[:tfsimple1_1:]	pipeline=[tfsimple]	traceparent=[00-2c66ff815d920ad238365be52a4467f5-ee7527353e9fe5a2-01]	x-forwarded-proto=[http]

```

```bash
seldon pipeline inspect tfsimple-extended-step
```

```bash
seldon.default.model.tfsimple2.inputs	cg5g6ogfh5ss73a44vvg	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.model.tfsimple2.outputs	cg5g6ogfh5ss73a44vvg	{"modelName":"tfsimple2_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}]}
seldon.default.pipeline.tfsimple-extended-step.inputs	cg5g6ogfh5ss73a44vvg	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended-step.outputs	cg5g6ogfh5ss73a44vvg	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}]}

```

```bash
kubectl delete -f ./pipelines/tfsimple-extended-step.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```bash
kubectl delete -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl delete -f ./models/tfsimple2.yaml -n seldon-mesh
```

### Pipeline pulling from two other Pipeline steps from same model

![pipeline-to-pipeline](/files/AgCaMrHfGor5lYGFZioq)

```bash
cat ./models/tfsimple1.yaml
cat ./models/tfsimple2.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple1
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki
apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: tfsimple2
spec:
  storageUri: "gs://seldon-models/triton/simple"
  requirements:
  - tensorflow
  memory: 100Ki

```

```bash
kubectl create -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl create -f ./models/tfsimple2.yaml -n seldon-mesh
```

```output
model.mlops.seldon.io/tfsimple1 created
model.mlops.seldon.io/tfsimple2 created
```

```bash
kubectl wait --for condition=ready --timeout=300s model --all -n seldon-mesh
```

```outputs
model.mlops.seldon.io/tfsimple1 condition met
model.mlops.seldon.io/tfsimple2 condition met
```

```bash
cat ./pipelines/tfsimple.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple
spec:
  steps:
    - name: tfsimple1
  output:
    steps:
    - tfsimple1

```

```bash
kubectl create -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
cat ./pipelines/tfsimple-extended.yaml
echo "---"
cat ./pipelines/tfsimple-extended2.yaml
echo "---"
cat ./pipelines/tfsimple-combined-step.yaml
```

```yaml
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-extended2
spec:
  input:
    externalInputs:
      - tfsimple.outputs
    tensorMap:
      tfsimple.outputs.OUTPUT0: INPUT0
      tfsimple.outputs.OUTPUT1: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2
---
apiVersion: mlops.seldon.io/v1alpha1
kind: Pipeline
metadata:
  name: tfsimple-combined-step
spec:
  input:
    externalInputs:
      - tfsimple-extended.step.tfsimple2.outputs.OUTPUT0
      - tfsimple-extended2.step.tfsimple2.outputs.OUTPUT0
    tensorMap:
      tfsimple-extended.step.tfsimple2.outputs.OUTPUT0: INPUT0
      tfsimple-extended2.step.tfsimple2.outputs.OUTPUT0: INPUT1
  steps:
    - name: tfsimple2
  output:
    steps:
    - tfsimple2

```

```bash
kubectl create -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh 
kubectl create -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh 
kubectl create -f ./pipelines/tfsimple-combined-step.yaml -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended created
pipeline.mlops.seldon.io/tfsimple-extended2 created
pipeline.mlops.seldon.io/tfsimple-combined-step created

```

```bash
kubectl wait --for condition=ready --timeout=300s pipeline --all -n seldon-mesh
```

```outputs
pipeline.mlops.seldon.io/tfsimple-extended condition met
pipeline.mlops.seldon.io/tfsimple-extended2 condition met
pipeline.mlops.seldon.io/tfsimple-combined-step condition met
```

{% tabs %}
{% tab title="curl" %}

```bash
curl -k http://<INGRESS_IP>:80/v2/models/tfsimple/infer \
  -H "Host: seldon-mesh.inference.seldon" \
  -H "Content-Type: application/json" \
  -H "Seldon-Model: tfsimple.pipeline" \
  -d '{
    "inputs": [
      {
        "name": "INPUT0",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      },
      {
        "name": "INPUT1",
        "datatype": "INT32",
        "shape": [1,16],
        "data": [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]
      }
    ]
  }' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}
```

{% endtab %}

{% tab title="seldon-cli" %}

```bash
seldon pipeline infer tfsimple --inference-host <INGRESS_IP>:80\
    '{"inputs":[{"name":"INPUT0","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]},{"name":"INPUT1","data":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16],"datatype":"INT32","shape":[1,16]}]}' | jq -M .
```

```json
{
  "model_name": "",
  "outputs": [
    {
      "data": [
        2,
        4,
        6,
        8,
        10,
        12,
        14,
        16,
        18,
        20,
        22,
        24,
        26,
        28,
        30,
        32
      ],
      "name": "OUTPUT0",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    },
    {
      "data": [
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0,
        0
      ],
      "name": "OUTPUT1",
      "shape": [
        1,
        16
      ],
      "datatype": "INT32"
    }
  ]
}

```

{% endtab %}
{% endtabs %}

```bash
seldon pipeline inspect tfsimple
```

```bash
seldon.default.model.tfsimple1.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}}]}
seldon.default.model.tfsimple1.outputs	cg5g710fh5ss73a4500g	{"modelName":"tfsimple1_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}
seldon.default.pipeline.tfsimple.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16]}}]}
seldon.default.pipeline.tfsimple.outputs	cg5g710fh5ss73a4500g	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended
```

```bash
seldon.default.model.tfsimple2.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.model.tfsimple2.outputs	cg5g710fh5ss73a4500g	{"modelName":"tfsimple2_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}
seldon.default.pipeline.tfsimple-extended.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended.outputs	cg5g710fh5ss73a4500g	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}]}

```

```bash
seldon pipeline inspect tfsimple-extended2
```

```bash
seldon.default.model.tfsimple2.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.model.tfsimple2.outputs	cg5g710fh5ss73a4500g	{"modelName":"tfsimple2_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}
seldon.default.pipeline.tfsimple-extended2.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=="]}
seldon.default.pipeline.tfsimple-extended2.outputs	cg5g710fh5ss73a4500g	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}]}

```

```bash
seldon pipeline inspect tfsimple-combined-step
```

```bash
seldon.default.model.tfsimple2.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.model.tfsimple2.outputs	cg5g710fh5ss73a4500g	{"modelName":"tfsimple2_1","modelVersion":"1","outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}
seldon.default.pipeline.tfsimple-combined-step.inputs	cg5g710fh5ss73a4500g	{"inputs":[{"name":"INPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}},{"name":"INPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32]}}],"rawInputContents":["AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA==","AgAAAAQAAAAGAAAACAAAAAoAAAAMAAAADgAAABAAAAASAAAAFAAAABYAAAAYAAAAGgAAABwAAAAeAAAAIAAAAA=="]}
seldon.default.pipeline.tfsimple-combined-step.outputs	cg5g710fh5ss73a4500g	{"outputs":[{"name":"OUTPUT0","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[4,8,12,16,20,24,28,32,36,40,44,48,52,56,60,64]}},{"name":"OUTPUT1","datatype":"INT32","shape":["1","16"],"contents":{"intContents":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]}}]}

```

```bash
kubectl delete -f ./pipelines/tfsimple-extended.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-extended2.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple-combined-step.yaml -n seldon-mesh
kubectl delete -f ./pipelines/tfsimple.yaml -n seldon-mesh
```

```bash
kubectl delete -f ./models/tfsimple1.yaml -n seldon-mesh
kubectl delete -f ./models/tfsimple2.yaml -n seldon-mesh
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.seldon.ai/seldon-core-2/user-guide/examples/pipeline-to-pipeline.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.