From 941c0f9b78c60fba4599ef91d1de82381ae2a729 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 11 Nov 2022 16:10:58 +0100
Subject: [PATCH 01/22] feat: add tensor type for ndarray

---
 docarray/document/mixins/proto.py             |  9 +--
 docarray/proto/io/__init__.py                 |  1 -
 docarray/proto/io/tensor.py                   | 27 -------
 docarray/typing/ndarray.py                    |  2 +-
 docarray/typing/tensor/__init__.py            |  1 +
 docarray/typing/tensor/tensor.py              | 74 +++++++++++++++++++
 .../predefined_document/test_image.py         |  4 +-
 tests/integrations/typing/__init__.py         |  0
 tests/integrations/typing/tensor.py           | 16 ++++
 .../document/proto/test_document_proto.py     |  7 +-
 .../document/proto/test_proto_based_object.py |  8 +-
 tests/units/typing/test_image_url.py          |  3 +-
 12 files changed, 106 insertions(+), 46 deletions(-)
 delete mode 100644 docarray/proto/io/__init__.py
 delete mode 100644 docarray/proto/io/tensor.py
 create mode 100644 docarray/typing/tensor/__init__.py
 create mode 100644 docarray/typing/tensor/tensor.py
 create mode 100644 tests/integrations/typing/__init__.py
 create mode 100644 tests/integrations/typing/tensor.py

diff --git a/docarray/document/mixins/proto.py b/docarray/document/mixins/proto.py
index ddeb44d1d0d..6fc38fbe080 100644
--- a/docarray/document/mixins/proto.py
+++ b/docarray/document/mixins/proto.py
@@ -1,7 +1,6 @@
 from typing import TYPE_CHECKING, Any, Dict, Type
 
 from docarray.proto import DocumentProto, NdArrayProto, NodeProto
-from docarray.proto.io import flush_ndarray, read_ndarray
 from docarray.typing import Tensor
 
 from ..abstract_document import AbstractDocument
@@ -32,7 +31,7 @@ def from_protobuf(cls, pb_msg: 'DocumentProto') -> 'ProtoMixin':
             content_type = value.WhichOneof('content')
 
             if content_type == 'tensor':
-                fields[field] = read_ndarray(value.tensor)
+                fields[field] = Tensor.read_ndarray(value.tensor)
             elif content_type == 'text':
                 fields[field] = value.text
             elif content_type == 'nested':
@@ -64,12 +63,6 @@ def to_protobuf(self) -> 'DocumentProto':
                 if isinstance(value, BaseNode):
                     nested_item = value._to_nested_item_protobuf()
 
-                elif isinstance(value, Tensor):
-                    nd_proto = NdArrayProto()
-                    flush_ndarray(nd_proto, value=value)
-                    NodeProto(tensor=nd_proto)
-                    nested_item = NodeProto(tensor=nd_proto)
-
                 elif type(value) is str:
                     nested_item = NodeProto(text=value)
 
diff --git a/docarray/proto/io/__init__.py b/docarray/proto/io/__init__.py
deleted file mode 100644
index 0606654178d..00000000000
--- a/docarray/proto/io/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .tensor import flush_ndarray, read_ndarray
diff --git a/docarray/proto/io/tensor.py b/docarray/proto/io/tensor.py
deleted file mode 100644
index 921632b9532..00000000000
--- a/docarray/proto/io/tensor.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import numpy as np
-
-from docarray.proto import NdArrayProto
-from docarray.typing.ndarray import Tensor
-
-
-def read_ndarray(pb_msg: 'NdArrayProto') -> 'Tensor':
-    """
-    read ndarray from a proto msg
-    :param pb_msg:
-    :return: a numpy array
-    """
-    source = pb_msg.dense
-    if source.buffer:
-        x = np.frombuffer(source.buffer, dtype=source.dtype)
-        return x.reshape(source.shape)
-    elif len(source.shape) > 0:
-        return np.zeros(source.shape)
-    else:
-        raise ValueError(f'proto message {pb_msg} cannot be cast to a Tensor')
-
-
-def flush_ndarray(pb_msg: 'NdArrayProto', value: 'Tensor'):
-    pb_msg.dense.buffer = value.tobytes()
-    pb_msg.dense.ClearField('shape')
-    pb_msg.dense.shape.extend(list(value.shape))
-    pb_msg.dense.dtype = value.dtype.str
diff --git a/docarray/typing/ndarray.py b/docarray/typing/ndarray.py
index 60f224b0dc3..841bb541830 100644
--- a/docarray/typing/ndarray.py
+++ b/docarray/typing/ndarray.py
@@ -1,4 +1,4 @@
 import numpy as np
+from .tensor import Tensor
 
-Tensor = np.ndarray
 Embedding = Tensor
diff --git a/docarray/typing/tensor/__init__.py b/docarray/typing/tensor/__init__.py
new file mode 100644
index 00000000000..aa666c11ebc
--- /dev/null
+++ b/docarray/typing/tensor/__init__.py
@@ -0,0 +1 @@
+from .tensor import Tensor
\ No newline at end of file
diff --git a/docarray/typing/tensor/tensor.py b/docarray/typing/tensor/tensor.py
new file mode 100644
index 00000000000..8a1c52ebac4
--- /dev/null
+++ b/docarray/typing/tensor/tensor.py
@@ -0,0 +1,74 @@
+from typing import Union, TypeVar, Any, TYPE_CHECKING
+
+import numpy as np
+if TYPE_CHECKING:
+    from pydantic.fields import ModelField
+    from pydantic import BaseConfig
+
+from docarray.document.base_node import BaseNode
+from docarray.proto import DocumentProto, NdArrayProto, NodeProto
+from pydantic import ValidationError
+
+T = TypeVar('T', bound=np.ndarray)
+
+
+class Tensor(np.ndarray, BaseNode):
+    @classmethod
+    def __get_validators__(cls):
+        # one or more validators may be yielded which will be called in the
+        # order to validate the input, each validator will receive as an input
+        # the value returned from the previous validator
+        yield cls.validate
+
+    @classmethod
+    def validate(cls: T, value: Union[T, Any], field: 'ModelField', config: 'BaseConfig') -> T:
+        if isinstance(value, np.ndarray):
+            return cls.from_ndarray(value)
+        elif isinstance(value, Tensor):
+            return value
+        else:
+            try:
+                arr = np.ndarray(value)
+                return cls.from_ndarray(arr)
+            except Exception:
+                pass  # handled below
+        raise ValidationError(f'Expected a numpy.ndarray, got {type(value)}')
+
+    @classmethod
+    def from_ndarray(cls, value: np.ndarray) -> T:
+        return value.view(cls)
+
+
+    def _to_nested_item_protobuf(self) -> 'NodeProto':
+        """Convert Document into a nested item protobuf message. This function should be called when the Document
+        is nested into another Document that need to be converted into a protobuf
+
+        :return: the nested item protobuf message
+        """
+        nd_proto = NdArrayProto()
+        self.flush_ndarray(nd_proto, value=self)
+        NodeProto(tensor=nd_proto)
+        return NodeProto(tensor=nd_proto)
+
+    @classmethod
+    def read_ndarray(cls, pb_msg: 'NdArrayProto') -> 'Tensor':
+        """
+        read ndarray from a proto msg
+        :param pb_msg:
+        :return: a numpy array
+        """
+        source = pb_msg.dense
+        if source.buffer:
+            x = np.frombuffer(source.buffer, dtype=source.dtype)
+            return cls.from_ndarray(x.reshape(source.shape))
+        elif len(source.shape) > 0:
+            return cls.from_ndarray(np.zeros(source.shape))
+        else:
+            raise ValueError(f'proto message {pb_msg} cannot be cast to a Tensor')
+
+    @staticmethod
+    def flush_ndarray(pb_msg: 'NdArrayProto', value: 'Tensor'):
+        pb_msg.dense.buffer = value.tobytes()
+        pb_msg.dense.ClearField('shape')
+        pb_msg.dense.shape.extend(list(value.shape))
+        pb_msg.dense.dtype = value.dtype.str
\ No newline at end of file
diff --git a/tests/integrations/predefined_document/test_image.py b/tests/integrations/predefined_document/test_image.py
index 964935d2c12..e1de2b020a0 100644
--- a/tests/integrations/predefined_document/test_image.py
+++ b/tests/integrations/predefined_document/test_image.py
@@ -1,3 +1,5 @@
+import numpy as np
+
 from docarray import Image
 from docarray.typing import Tensor
 
@@ -8,4 +10,4 @@ def test_image():
 
     image.tensor = image.uri.load()
 
-    assert isinstance(image.tensor, Tensor)
+    assert isinstance(image.tensor, np.ndarray)
diff --git a/tests/integrations/typing/__init__.py b/tests/integrations/typing/__init__.py
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/tests/integrations/typing/tensor.py b/tests/integrations/typing/tensor.py
new file mode 100644
index 00000000000..0d17207e667
--- /dev/null
+++ b/tests/integrations/typing/tensor.py
@@ -0,0 +1,16 @@
+import numpy as np
+
+from docarray.typing import Tensor
+from docarray import Document
+
+
+def test_set_tensor():
+
+    class MyDocument(Document):
+        tensor: Tensor
+
+    d = MyDocument(tensor=np.zeros((3, 224, 224)))
+
+    assert isinstance(d.tensor, Tensor)
+    assert isinstance(d.tensor, np.ndarray)
+    assert (d.tensor == np.zeros((3, 224, 224))).all()
diff --git a/tests/units/document/proto/test_document_proto.py b/tests/units/document/proto/test_document_proto.py
index 4ae299d3347..f0918b5b721 100644
--- a/tests/units/document/proto/test_document_proto.py
+++ b/tests/units/document/proto/test_document_proto.py
@@ -4,6 +4,7 @@
 
 from docarray import DocumentArray
 from docarray.document import BaseDocument
+from docarray.typing import Tensor
 
 
 def test_proto_simple():
@@ -17,7 +18,7 @@ class CustomDoc(BaseDocument):
 
 def test_proto_ndarray():
     class CustomDoc(BaseDocument):
-        tensor: np.ndarray
+        tensor: Tensor
 
     tensor = np.zeros((3, 224, 224))
     doc = CustomDoc(tensor=tensor)
@@ -29,7 +30,7 @@ class CustomDoc(BaseDocument):
 
 def test_proto_with_nested_doc():
     class CustomInnerDoc(BaseDocument):
-        tensor: np.ndarray
+        tensor: Tensor
 
     class CustomDoc(BaseDocument):
         text: str
@@ -42,7 +43,7 @@ class CustomDoc(BaseDocument):
 
 def test_proto_with_chunks_doc():
     class CustomInnerDoc(BaseDocument):
-        tensor: np.ndarray
+        tensor: Tensor
 
     class CustomDoc(BaseDocument):
         text: str
diff --git a/tests/units/document/proto/test_proto_based_object.py b/tests/units/document/proto/test_proto_based_object.py
index 6f9acf77245..c2fd61773c8 100644
--- a/tests/units/document/proto/test_proto_based_object.py
+++ b/tests/units/document/proto/test_proto_based_object.py
@@ -1,7 +1,7 @@
 import numpy as np
 
 from docarray.proto import DocumentProto, NdArrayProto, NodeProto
-from docarray.proto.io import flush_ndarray, read_ndarray
+from docarray.typing import Tensor
 
 
 def test_nested_item_proto():
@@ -16,9 +16,9 @@ def test_nested_optional_item_proto():
 def test_ndarray():
     nd_proto = NdArrayProto()
     original_tensor = np.zeros((3, 224, 224))
-    flush_ndarray(nd_proto, value=original_tensor)
+    Tensor.flush_ndarray(nd_proto, value=original_tensor)
     nested_item = NodeProto(tensor=nd_proto)
-    tensor = read_ndarray(nested_item.tensor)
+    tensor = Tensor.read_ndarray(nested_item.tensor)
 
     assert (tensor == original_tensor).all()
 
@@ -31,7 +31,7 @@ def test_document_proto_set():
 
     nd_proto = NdArrayProto()
     original_tensor = np.zeros((3, 224, 224))
-    flush_ndarray(nd_proto, value=original_tensor)
+    Tensor.flush_ndarray(nd_proto, value=original_tensor)
 
     nested_item2 = NodeProto(tensor=nd_proto)
 
diff --git a/tests/units/typing/test_image_url.py b/tests/units/typing/test_image_url.py
index ef21c8de4ee..74c511dba43 100644
--- a/tests/units/typing/test_image_url.py
+++ b/tests/units/typing/test_image_url.py
@@ -1,3 +1,4 @@
+import numpy as np
 from pydantic.tools import parse_obj_as
 
 from docarray.typing import ImageUrl, Tensor
@@ -8,4 +9,4 @@ def test_image_url():
 
     tensor = uri.load()
 
-    assert isinstance(tensor, Tensor)
+    assert isinstance(tensor, np.ndarray)

From 4a0f7bfdd0c07cf26df2e1fd589fa83792b59ea8 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 11 Nov 2022 16:35:09 +0100
Subject: [PATCH 02/22] fix: fix mypy typing

---
 docarray/typing/tensor/tensor.py | 22 ++++++++++------------
 docarray/typing/url/image_url.py |  4 +---
 2 files changed, 11 insertions(+), 15 deletions(-)

diff --git a/docarray/typing/tensor/tensor.py b/docarray/typing/tensor/tensor.py
index 8a1c52ebac4..179eaca3596 100644
--- a/docarray/typing/tensor/tensor.py
+++ b/docarray/typing/tensor/tensor.py
@@ -1,15 +1,14 @@
-from typing import Union, TypeVar, Any, TYPE_CHECKING
+from typing import Union, TypeVar, Any, TYPE_CHECKING, Type, cast
 
 import numpy as np
 if TYPE_CHECKING:
     from pydantic.fields import ModelField
-    from pydantic import BaseConfig
+    from pydantic import BaseConfig, PydanticValueError
 
 from docarray.document.base_node import BaseNode
 from docarray.proto import DocumentProto, NdArrayProto, NodeProto
-from pydantic import ValidationError
 
-T = TypeVar('T', bound=np.ndarray)
+T = TypeVar('T', bound='Tensor')
 
 
 class Tensor(np.ndarray, BaseNode):
@@ -21,25 +20,24 @@ def __get_validators__(cls):
         yield cls.validate
 
     @classmethod
-    def validate(cls: T, value: Union[T, Any], field: 'ModelField', config: 'BaseConfig') -> T:
+    def validate(cls: Type[T], value: Union[T, Any], field: 'ModelField', config: 'BaseConfig') -> T:
         if isinstance(value, np.ndarray):
             return cls.from_ndarray(value)
         elif isinstance(value, Tensor):
-            return value
+            return cast(T, value)
         else:
             try:
-                arr = np.ndarray(value)
+                arr: np.ndarray = np.ndarray(value)
                 return cls.from_ndarray(arr)
             except Exception:
                 pass  # handled below
-        raise ValidationError(f'Expected a numpy.ndarray, got {type(value)}')
+        raise ValueError(f'Expected a numpy.ndarray, got {type(value)}')
 
     @classmethod
-    def from_ndarray(cls, value: np.ndarray) -> T:
+    def from_ndarray(cls: Type[T], value: np.ndarray) -> T:
         return value.view(cls)
 
-
-    def _to_nested_item_protobuf(self) -> 'NodeProto':
+    def _to_nested_item_protobuf(self: T) -> 'NodeProto':
         """Convert Document into a nested item protobuf message. This function should be called when the Document
         is nested into another Document that need to be converted into a protobuf
 
@@ -51,7 +49,7 @@ def _to_nested_item_protobuf(self) -> 'NodeProto':
         return NodeProto(tensor=nd_proto)
 
     @classmethod
-    def read_ndarray(cls, pb_msg: 'NdArrayProto') -> 'Tensor':
+    def read_ndarray(cls: Type[T], pb_msg: 'NdArrayProto') -> 'T':
         """
         read ndarray from a proto msg
         :param pb_msg:
diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 4e9338e13d5..68d956fb87d 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,12 +1,10 @@
 import numpy as np
 
-from docarray.typing import Tensor
-
 from .any_url import AnyUrl
 
 
 class ImageUrl(AnyUrl):
-    def load(self) -> Tensor:
+    def load(self) -> np.ndarray:
         """
         transform the url in a image Tensor
 

From 1d9eaaf285d38c3342b404de78d0f1009d196892 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 09:53:28 +0100
Subject: [PATCH 03/22] feat: torch tensor type

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/proto/docarray.proto                 |    2 +
 docarray/proto/pb2/docarray_pb2.py            |   38 +-
 docarray/typing/__init__.py                   |    4 +-
 docarray/typing/tensor/__init__.py            |    3 +-
 docarray/typing/tensor/torch_tensor.py        |   96 ++
 poetry.lock                                   | 1004 ++++++++++++++---
 pyproject.toml                                |    2 +
 tests/integrations/typing/torch_tensor.py     |   15 +
 .../document/proto/test_document_proto.py     |   38 +-
 9 files changed, 1018 insertions(+), 184 deletions(-)
 create mode 100644 docarray/typing/tensor/torch_tensor.py
 create mode 100644 tests/integrations/typing/torch_tensor.py

diff --git a/docarray/proto/docarray.proto b/docarray/proto/docarray.proto
index 54db5b576a4..2f099393a7e 100644
--- a/docarray/proto/docarray.proto
+++ b/docarray/proto/docarray.proto
@@ -55,6 +55,8 @@ message NodeProto {
 
     string id = 9;
 
+    NdArrayProto torch_embedding = 10;
+
   }
 
 }
diff --git a/docarray/proto/pb2/docarray_pb2.py b/docarray/proto/pb2/docarray_pb2.py
index 6df55564dfb..45014db0aec 100644
--- a/docarray/proto/pb2/docarray_pb2.py
+++ b/docarray/proto/pb2/docarray_pb2.py
@@ -2,11 +2,10 @@
 # Generated by the protocol buffer compiler.  DO NOT EDIT!
 # source: docarray.proto
 """Generated protocol buffer code."""
+from google.protobuf.internal import builder as _builder
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import descriptor_pool as _descriptor_pool
 from google.protobuf import symbol_database as _symbol_database
-from google.protobuf.internal import builder as _builder
-
 # @@protoc_insertion_point(imports)
 
 _sym_db = _symbol_database.Default()
@@ -14,27 +13,26 @@
 
 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(
-    b'\n\x0e\x64ocarray.proto\x12\x08\x64ocarray\x1a\x1cgoogle/protobuf/struct.proto\"A\n\x11\x44\x65nseNdArrayProto\x12\x0e\n\x06\x62uffer\x18\x01 \x01(\x0c\x12\r\n\x05shape\x18\x02 \x03(\r\x12\r\n\x05\x64type\x18\x03 \x01(\t\"g\n\x0cNdArrayProto\x12*\n\x05\x64\x65nse\x18\x01 \x01(\x0b\x32\x1b.docarray.DenseNdArrayProto\x12+\n\nparameters\x18\x02 \x01(\x0b\x32\x17.google.protobuf.Struct\"\x9e\x02\n\tNodeProto\x12\x0e\n\x04\x62lob\x18\x01 \x01(\x0cH\x00\x12(\n\x06tensor\x18\x02 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x0e\n\x04text\x18\x03 \x01(\tH\x00\x12)\n\x06nested\x18\x04 \x01(\x0b\x32\x17.docarray.DocumentProtoH\x00\x12.\n\x06\x63hunks\x18\x05 \x01(\x0b\x32\x1c.docarray.DocumentArrayProtoH\x00\x12+\n\tembedding\x18\x06 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x11\n\x07\x61ny_url\x18\x07 \x01(\tH\x00\x12\x13\n\timage_url\x18\x08 \x01(\tH\x00\x12\x0c\n\x02id\x18\t \x01(\tH\x00\x42\t\n\x07\x63ontent\"\x82\x01\n\rDocumentProto\x12/\n\x04\x64\x61ta\x18\x01 \x03(\x0b\x32!.docarray.DocumentProto.DataEntry\x1a@\n\tDataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\"\n\x05value\x18\x02 \x01(\x0b\x32\x13.docarray.NodeProto:\x02\x38\x01\";\n\x12\x44ocumentArrayProto\x12%\n\x04\x64ocs\x18\x01 \x03(\x0b\x32\x17.docarray.DocumentProtob\x06proto3'
-)
+
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0e\x64ocarray.proto\x12\x08\x64ocarray\x1a\x1cgoogle/protobuf/struct.proto\"A\n\x11\x44\x65nseNdArrayProto\x12\x0e\n\x06\x62uffer\x18\x01 \x01(\x0c\x12\r\n\x05shape\x18\x02 \x03(\r\x12\r\n\x05\x64type\x18\x03 \x01(\t\"g\n\x0cNdArrayProto\x12*\n\x05\x64\x65nse\x18\x01 \x01(\x0b\x32\x1b.docarray.DenseNdArrayProto\x12+\n\nparameters\x18\x02 \x01(\x0b\x32\x17.google.protobuf.Struct\"\xd1\x02\n\tNodeProto\x12\x0e\n\x04\x62lob\x18\x01 \x01(\x0cH\x00\x12(\n\x06tensor\x18\x02 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x0e\n\x04text\x18\x03 \x01(\tH\x00\x12)\n\x06nested\x18\x04 \x01(\x0b\x32\x17.docarray.DocumentProtoH\x00\x12.\n\x06\x63hunks\x18\x05 \x01(\x0b\x32\x1c.docarray.DocumentArrayProtoH\x00\x12+\n\tembedding\x18\x06 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x11\n\x07\x61ny_url\x18\x07 \x01(\tH\x00\x12\x13\n\timage_url\x18\x08 \x01(\tH\x00\x12\x0c\n\x02id\x18\t \x01(\tH\x00\x12\x31\n\x0ftorch_embedding\x18\n \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x42\t\n\x07\x63ontent\"\x82\x01\n\rDocumentProto\x12/\n\x04\x64\x61ta\x18\x01 \x03(\x0b\x32!.docarray.DocumentProto.DataEntry\x1a@\n\tDataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\"\n\x05value\x18\x02 \x01(\x0b\x32\x13.docarray.NodeProto:\x02\x38\x01\";\n\x12\x44ocumentArrayProto\x12%\n\x04\x64ocs\x18\x01 \x03(\x0b\x32\x17.docarray.DocumentProtob\x06proto3')
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
 _builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'docarray_pb2', globals())
 if _descriptor._USE_C_DESCRIPTORS == False:
 
-    DESCRIPTOR._options = None
-    _DOCUMENTPROTO_DATAENTRY._options = None
-    _DOCUMENTPROTO_DATAENTRY._serialized_options = b'8\001'
-    _DENSENDARRAYPROTO._serialized_start = 58
-    _DENSENDARRAYPROTO._serialized_end = 123
-    _NDARRAYPROTO._serialized_start = 125
-    _NDARRAYPROTO._serialized_end = 228
-    _NODEPROTO._serialized_start = 231
-    _NODEPROTO._serialized_end = 517
-    _DOCUMENTPROTO._serialized_start = 520
-    _DOCUMENTPROTO._serialized_end = 650
-    _DOCUMENTPROTO_DATAENTRY._serialized_start = 586
-    _DOCUMENTPROTO_DATAENTRY._serialized_end = 650
-    _DOCUMENTARRAYPROTO._serialized_start = 652
-    _DOCUMENTARRAYPROTO._serialized_end = 711
+  DESCRIPTOR._options = None
+  _DOCUMENTPROTO_DATAENTRY._options = None
+  _DOCUMENTPROTO_DATAENTRY._serialized_options = b'8\001'
+  _DENSENDARRAYPROTO._serialized_start=58
+  _DENSENDARRAYPROTO._serialized_end=123
+  _NDARRAYPROTO._serialized_start=125
+  _NDARRAYPROTO._serialized_end=228
+  _NODEPROTO._serialized_start=231
+  _NODEPROTO._serialized_end=568
+  _DOCUMENTPROTO._serialized_start=571
+  _DOCUMENTPROTO._serialized_end=701
+  _DOCUMENTPROTO_DATAENTRY._serialized_start=637
+  _DOCUMENTPROTO_DATAENTRY._serialized_end=701
+  _DOCUMENTARRAYPROTO._serialized_start=703
+  _DOCUMENTARRAYPROTO._serialized_end=762
 # @@protoc_insertion_point(module_scope)
diff --git a/docarray/typing/__init__.py b/docarray/typing/__init__.py
index 6d04abb0ac2..7c018343e8a 100644
--- a/docarray/typing/__init__.py
+++ b/docarray/typing/__init__.py
@@ -1,6 +1,6 @@
 from docarray.typing.embedding import Embedding
 from docarray.typing.id import ID
-from docarray.typing.tensor import Tensor
+from docarray.typing.tensor import Tensor, TorchTensor
 from docarray.typing.url import AnyUrl, ImageUrl
 
-__all__ = ['Tensor', 'Embedding', 'ImageUrl', 'AnyUrl', 'ID']
+__all__ = ['Tensor', 'Embedding', 'ImageUrl', 'AnyUrl', 'ID', 'TorchTensor']
diff --git a/docarray/typing/tensor/__init__.py b/docarray/typing/tensor/__init__.py
index 8d7fda13010..d195a58053d 100644
--- a/docarray/typing/tensor/__init__.py
+++ b/docarray/typing/tensor/__init__.py
@@ -1,3 +1,4 @@
 from docarray.typing.tensor.tensor import Tensor
+from docarray.typing.tensor.torch_tensor import TorchTensor
 
-__all__ = ['Tensor']
+__all__ = ['Tensor', 'TorchTensor']
diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
new file mode 100644
index 00000000000..5b61676ea8d
--- /dev/null
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -0,0 +1,96 @@
+from typing import TYPE_CHECKING, Any, Type, TypeVar, Union, cast
+
+import torch
+import numpy as np
+
+if TYPE_CHECKING:
+    from pydantic.fields import ModelField
+    from pydantic import BaseConfig
+
+from docarray.document.base_node import BaseNode
+from docarray.proto import NdArrayProto, NodeProto
+
+T = TypeVar('T', bound='TorchTensor')
+
+class metaTorchAndNode(type(torch.Tensor), type(BaseNode)):
+    pass
+
+class TorchTensor(torch.Tensor, BaseNode, metaclass=metaTorchAndNode):
+    # Subclassing torch.Tensor following the advice from here: https://pytorch.org/docs/stable/notes/extending.html#subclassing-torch-tensor
+    @classmethod
+    def __get_validators__(cls):
+        # one or more validators may be yielded which will be called in the
+        # order to validate the input, each validator will receive as an input
+        # the value returned from the previous validator
+        yield cls.validate
+
+    @classmethod
+    def validate(
+        cls: Type[T], value: Union[T, Any], field: 'ModelField', config: 'BaseConfig'
+    ) -> T:
+        if isinstance(value, TorchTensor):
+            return cast(T, value)
+        elif isinstance(value, torch.Tensor):
+            return cls.from_native_torch_tensor(value)
+
+        else:
+            try:
+                arr: torch.Tensor = torch.tensor(value)
+                return cls.from_native_torch_tensor(arr)
+            except Exception:
+                pass  # handled below
+        raise ValueError(f'Expected a torch.Tensor, got {type(value)}')
+
+    @classmethod
+    def from_native_torch_tensor(cls: Type[T], value: torch.Tensor) -> T:
+        """Create a TorchTensor from a native torch.Tensor
+
+        :param value: the native torch.Tensor
+        :return: a TorchTensor
+        """
+        value.__class__ = cls
+        return value
+
+    @classmethod
+    def from_ndarray(cls: Type[T], value: np.ndarray) -> T:
+        """Create a TorchTensor from a numpy array
+
+        :param value: the numpy array
+        :return: a TorchTensor
+        """
+        return cls.from_native_torch_tensor(torch.from_numpy(value))
+
+    def _to_node_protobuf(self: T, field: str = 'torch_embedding') -> NodeProto:
+        """Convert Document into a NodeProto protobuf message. This function should
+        be called when the Document is nested into another Document that need to be
+        converted into a protobuf
+        :param field: field in which to store the content in the node proto
+        :return: the nested item protobuf message
+        """
+        nd_proto = NdArrayProto()
+        self._flush_tensor_to_proto(nd_proto, value=self)
+        return NodeProto(**{field: nd_proto})
+
+    @classmethod
+    def _read_from_proto(cls: Type[T], pb_msg: 'NdArrayProto') -> 'T':
+        """
+        read ndarray from a proto msg
+        :param pb_msg:
+        :return: a numpy array
+        """
+        source = pb_msg.dense
+        if source.buffer:
+            x = np.frombuffer(source.buffer, dtype=source.dtype)
+            return cls.from_ndarray(x.reshape(source.shape))
+        elif len(source.shape) > 0:
+            return cls.from_ndarray(np.zeros(source.shape))
+        else:
+            raise ValueError(f'proto message {pb_msg} cannot be cast to a TorchTensor')
+
+    @staticmethod
+    def _flush_tensor_to_proto(pb_msg: 'NdArrayProto', value: 'TorchTensor'):
+        value = value.detach().cpu().numpy()
+        pb_msg.dense.buffer = value.tobytes()
+        pb_msg.dense.ClearField('shape')
+        pb_msg.dense.shape.extend(list(value.shape))
+        pb_msg.dense.dtype = value.dtype.str
diff --git a/poetry.lock b/poetry.lock
index 0354841b2e0..88db66d8d36 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -11,8 +11,8 @@ idna = ">=2.8"
 sniffio = ">=1.1"
 
 [package.extras]
-doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
+doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
 trio = ["trio (>=0.16,<0.22)"]
 
 [[package]]
@@ -35,8 +35,8 @@ python-versions = ">=3.6"
 argon2-cffi-bindings = "*"
 
 [package.extras]
-dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"]
-docs = ["sphinx", "sphinx-notfound-page", "furo"]
+dev = ["cogapp", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "pre-commit", "pytest", "sphinx", "sphinx-notfound-page", "tomli"]
+docs = ["furo", "sphinx", "sphinx-notfound-page"]
 tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
@@ -51,7 +51,7 @@ python-versions = ">=3.6"
 cffi = ">=1.0.1"
 
 [package.extras]
-dev = ["pytest", "cogapp", "pre-commit", "wheel"]
+dev = ["cogapp", "pre-commit", "pytest", "wheel"]
 tests = ["pytest"]
 
 [[package]]
@@ -85,14 +85,14 @@ optional = false
 python-versions = ">=3.5"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
-docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"]
+dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
+docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
+tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
+tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "babel"
-version = "2.10.3"
+version = "2.11.0"
 description = "Internationalization utilities"
 category = "dev"
 optional = false
@@ -160,7 +160,7 @@ webencodings = "*"
 
 [package.extras]
 css = ["tinycss2 (>=1.1.0,<1.2)"]
-dev = ["build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "Sphinx (==4.3.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)", "black (==22.3.0)", "mypy (==0.961)"]
+dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"]
 
 [[package]]
 name = "certifi"
@@ -198,7 +198,7 @@ optional = false
 python-versions = ">=3.6.0"
 
 [package.extras]
-unicode_backport = ["unicodedata2"]
+unicode-backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
@@ -268,7 +268,7 @@ optional = false
 python-versions = "*"
 
 [package.extras]
-tests = ["asttokens", "pytest", "littleutils", "rich"]
+tests = ["asttokens", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "fastjsonschema"
@@ -279,7 +279,7 @@ optional = false
 python-versions = "*"
 
 [package.extras]
-devel = ["colorama", "jsonschema", "json-spec", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
+devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
 
 [[package]]
 name = "filelock"
@@ -324,9 +324,9 @@ python-versions = ">=3.7"
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
 perf = ["ipython"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
+testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
 [[package]]
 name = "importlib-resources"
@@ -340,12 +340,12 @@ python-versions = ">=3.7"
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "ipykernel"
-version = "6.17.0"
+version = "6.17.1"
 description = "IPython Kernel for Jupyter"
 category = "dev"
 optional = false
@@ -366,7 +366,7 @@ traitlets = ">=5.1.0"
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest-cov", "pytest-timeout", "pytest (>=7.0)"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
@@ -391,9 +391,9 @@ stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
-all = ["black", "ipykernel", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "docrepr", "matplotlib", "stack-data", "pytest (<7)", "typing-extensions", "pytest (<7.1)", "pytest-asyncio", "testpath", "nbconvert", "nbformat", "ipywidgets", "notebook", "ipyparallel", "qtconsole", "curio", "matplotlib (!=3.2.0)", "numpy (>=1.20)", "pandas", "trio"]
+all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.20)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["ipykernel", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "docrepr", "matplotlib", "stack-data", "pytest (<7)", "typing-extensions", "pytest (<7.1)", "pytest-asyncio", "testpath"]
+doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
@@ -401,7 +401,7 @@ notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test_extra = ["pytest (<7.1)", "pytest-asyncio", "testpath", "curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "trio"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.20)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
 
 [[package]]
 name = "ipython-genutils"
@@ -420,10 +420,10 @@ optional = false
 python-versions = ">=3.6.1,<4.0"
 
 [package.extras]
-pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
-requirements_deprecated_finder = ["pipreqs", "pip-api"]
 colors = ["colorama (>=0.4.3,<0.5.0)"]
+pipfile-deprecated-finder = ["pipreqs", "requirementslib"]
 plugins = ["setuptools"]
+requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
@@ -467,7 +467,7 @@ dev = ["hypothesis"]
 
 [[package]]
 name = "jsonschema"
-version = "4.16.0"
+version = "4.17.0"
 description = "An implementation of JSON Schema validation for Python"
 category = "dev"
 optional = false
@@ -485,7 +485,7 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jupyter-client"
-version = "7.4.4"
+version = "7.4.6"
 description = "Jupyter protocol implementation and client libraries"
 category = "dev"
 optional = false
@@ -501,18 +501,19 @@ tornado = ">=6.2"
 traitlets = "*"
 
 [package.extras]
-doc = ["ipykernel", "myst-parser", "sphinx-rtd-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt"]
+doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
 test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
-version = "4.11.2"
+version = "5.0.0"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 
 [package.dependencies]
+platformdirs = "*"
 pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
 traitlets = "*"
 
@@ -521,7 +522,7 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-server"
-version = "1.21.0"
+version = "1.23.2"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
@@ -546,7 +547,7 @@ traitlets = ">=5.1"
 websocket-client = "*"
 
 [package.extras]
-test = ["coverage", "ipykernel", "pre-commit", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "pytest (>=7.0)", "requests"]
+test = ["coverage", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "pytest-mock", "pytest-timeout", "pytest-tornasync", "requests"]
 
 [[package]]
 name = "jupyterlab"
@@ -569,7 +570,7 @@ tomli = "*"
 tornado = ">=6.1.0"
 
 [package.extras]
-test = ["check-manifest", "coverage", "jupyterlab-server", "pre-commit", "pytest (>=6.0)", "pytest-cov", "pytest-console-scripts", "pytest-check-links (>=0.5)", "requests", "requests-cache", "virtualenv"]
+test = ["check-manifest", "coverage", "jupyterlab-server[test]", "pre-commit", "pytest (>=6.0)", "pytest-check-links (>=0.5)", "pytest-console-scripts", "pytest-cov", "requests", "requests-cache", "virtualenv"]
 ui-tests = ["build"]
 
 [[package]]
@@ -582,7 +583,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.16.2"
+version = "2.16.3"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 category = "dev"
 optional = false
@@ -601,7 +602,7 @@ requests = "*"
 [package.extras]
 docs = ["autodoc-traits", "docutils (<0.19)", "jinja2 (<3.1.0)", "mistune (<1)", "myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-copybutton", "sphinxcontrib-openapi"]
 openapi = ["openapi-core (>=0.14.2)", "ruamel-yaml"]
-test = ["codecov", "ipykernel", "jupyter-server", "openapi-core (>=0.14.2,<0.15.0)", "openapi-spec-validator (<0.5)", "pytest-console-scripts", "pytest-cov", "pytest (>=7.0)", "ruamel-yaml", "strict-rfc3339"]
+test = ["codecov", "ipykernel", "jupyter-server[test]", "openapi-core (>=0.14.2,<0.15.0)", "openapi-spec-validator (<0.5)", "pytest (>=7.0)", "pytest-console-scripts", "pytest-cov", "requests-mock", "ruamel-yaml", "strict-rfc3339"]
 
 [[package]]
 name = "markupsafe"
@@ -667,7 +668,7 @@ python-versions = "*"
 
 [[package]]
 name = "nbclassic"
-version = "0.4.7"
+version = "0.4.8"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -693,9 +694,9 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
+docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
 json-logging = ["json-logging"]
-test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium (==4.1.5)", "pytest-cov", "pytest-tornasync", "requests-unixsocket"]
+test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-playwright", "pytest-tornasync", "requests", "requests-unixsocket", "testpath"]
 
 [[package]]
 name = "nbclient"
@@ -712,12 +713,12 @@ nest-asyncio = "*"
 traitlets = ">=5.2.2"
 
 [package.extras]
-sphinx = ["autodoc-traits", "mock", "moto", "myst-parser", "Sphinx (>=1.7)", "sphinx-book-theme"]
+sphinx = ["Sphinx (>=1.7)", "autodoc-traits", "mock", "moto", "myst-parser", "sphinx-book-theme"]
 test = ["black", "check-manifest", "flake8", "ipykernel", "ipython", "ipywidgets", "mypy", "nbconvert", "pip (>=18.1)", "pre-commit", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=60.0)", "testpath", "twine (>=1.11.0)", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.2.3"
+version = "7.2.5"
 description = "Converting Jupyter Notebooks"
 category = "dev"
 optional = false
@@ -742,8 +743,8 @@ tinycss2 = "*"
 traitlets = ">=5.0"
 
 [package.extras]
-all = ["ipykernel", "ipython", "ipywidgets (>=7)", "myst-parser", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx-rtd-theme", "sphinx (==5.0.2)", "tornado (>=6.1)"]
-docs = ["ipython", "myst-parser", "nbsphinx (>=0.2.12)", "sphinx-rtd-theme", "sphinx (==5.0.2)"]
+all = ["ipykernel", "ipython", "ipywidgets (>=7)", "myst-parser", "nbsphinx (>=0.2.12)", "pre-commit", "pyppeteer (>=1,<1.1)", "pyqtwebengine (>=5.15)", "pytest", "pytest-cov", "pytest-dependency", "sphinx (==5.0.2)", "sphinx-rtd-theme", "tornado (>=6.1)"]
+docs = ["ipython", "myst-parser", "nbsphinx (>=0.2.12)", "sphinx (==5.0.2)", "sphinx-rtd-theme"]
 qtpdf = ["pyqtwebengine (>=5.15)"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
@@ -783,6 +784,9 @@ category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 
+[package.dependencies]
+setuptools = "*"
+
 [[package]]
 name = "notebook"
 version = "6.5.2"
@@ -810,13 +814,13 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
+docs = ["myst-parser", "nbsphinx", "sphinx", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
 json-logging = ["json-logging"]
-test = ["pytest", "coverage", "requests", "testpath", "nbval", "selenium (==4.1.5)", "pytest-cov", "requests-unixsocket"]
+test = ["coverage", "nbval", "pytest", "pytest-cov", "requests", "requests-unixsocket", "selenium (==4.1.5)", "testpath"]
 
 [[package]]
 name = "notebook-shim"
-version = "0.2.0"
+version = "0.2.2"
 description = "A shim layer for notebook traits and config"
 category = "dev"
 optional = false
@@ -836,6 +840,54 @@ category = "main"
 optional = false
 python-versions = ">=3.8"
 
+[[package]]
+name = "nvidia-cublas-cu11"
+version = "11.10.3.66"
+description = "CUBLAS native runtime libraries"
+category = "main"
+optional = true
+python-versions = ">=3"
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cuda-nvrtc-cu11"
+version = "11.7.99"
+description = "NVRTC native runtime libraries"
+category = "main"
+optional = true
+python-versions = ">=3"
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cuda-runtime-cu11"
+version = "11.7.99"
+description = "CUDA Runtime native Libraries"
+category = "main"
+optional = true
+python-versions = ">=3"
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
+[[package]]
+name = "nvidia-cudnn-cu11"
+version = "8.5.0.96"
+description = "cuDNN runtime libraries"
+category = "main"
+optional = true
+python-versions = ">=3"
+
+[package.dependencies]
+setuptools = "*"
+wheel = "*"
+
 [[package]]
 name = "packaging"
 version = "21.3"
@@ -869,7 +921,7 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "pathspec"
-version = "0.10.1"
+version = "0.10.2"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
@@ -904,15 +956,15 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "platformdirs"
-version = "2.5.2"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "2.5.4"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"]
-test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"]
+docs = ["furo (>=2022.9.29)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.4)"]
+test = ["appdirs (==1.4.4)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pluggy"
@@ -954,7 +1006,7 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.31"
+version = "3.0.32"
 description = "Library for building powerful interactive command lines in Python"
 category = "dev"
 optional = false
@@ -973,14 +1025,14 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "psutil"
-version = "5.9.3"
+version = "5.9.4"
 description = "Cross-platform lib for process and system monitoring in Python."
 category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [package.extras]
-test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"]
+test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
 [[package]]
 name = "ptyprocess"
@@ -1052,11 +1104,11 @@ optional = false
 python-versions = ">=3.6.8"
 
 [package.extras]
-diagrams = ["railroad-diagrams", "jinja2"]
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pyrsistent"
-version = "0.19.1"
+version = "0.19.2"
 description = "Persistent/Functional/Immutable data structures"
 category = "dev"
 optional = false
@@ -1105,7 +1157,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "304"
+version = "305"
 description = "Python for Window Extensions"
 category = "dev"
 optional = false
@@ -1155,7 +1207,7 @@ urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
-use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "ruff"
@@ -1174,10 +1226,23 @@ optional = false
 python-versions = "*"
 
 [package.extras]
-nativelib = ["pyobjc-framework-cocoa", "pywin32"]
-objc = ["pyobjc-framework-cocoa"]
+nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
+objc = ["pyobjc-framework-Cocoa"]
 win32 = ["pywin32"]
 
+[[package]]
+name = "setuptools"
+version = "65.5.1"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1204,7 +1269,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "stack-data"
-version = "0.6.0"
+version = "0.6.1"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 category = "dev"
 optional = false
@@ -1216,7 +1281,7 @@ executing = ">=1.2.0"
 pure-eval = "*"
 
 [package.extras]
-tests = ["pytest", "typeguard", "pygments", "littleutils", "cython"]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "terminado"
@@ -1233,7 +1298,7 @@ tornado = ">=6.1.0"
 
 [package.extras]
 docs = ["pydata-sphinx-theme", "sphinx"]
-test = ["pre-commit", "pytest-timeout", "pytest (>=7.0)"]
+test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
 
 [[package]]
 name = "tinycss2"
@@ -1247,8 +1312,8 @@ python-versions = ">=3.7"
 webencodings = ">=0.4"
 
 [package.extras]
-doc = ["sphinx", "sphinx-rtd-theme"]
-test = ["pytest", "isort", "flake8"]
+doc = ["sphinx", "sphinx_rtd_theme"]
+test = ["flake8", "isort", "pytest"]
 
 [[package]]
 name = "toml"
@@ -1266,6 +1331,24 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "torch"
+version = "1.13.0"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = true
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+nvidia-cublas-cu11 = "11.10.3.66"
+nvidia-cuda-nvrtc-cu11 = "11.7.99"
+nvidia-cuda-runtime-cu11 = "11.7.99"
+nvidia-cudnn-cu11 = "8.5.0.96"
+typing-extensions = "*"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
 [[package]]
 name = "tornado"
 version = "6.2"
@@ -1288,7 +1371,7 @@ test = ["pre-commit", "pytest"]
 
 [[package]]
 name = "types-protobuf"
-version = "3.20.4.2"
+version = "3.20.4.5"
 description = "Typing stubs for protobuf"
 category = "dev"
 optional = false
@@ -1311,13 +1394,13 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
 [package.extras]
-brotli = ["brotlicffi (>=0.8.0)", "brotli (>=1.0.9)", "brotlipy (>=0.6.0)"]
-secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "urllib3-secure-extra", "ipaddress"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.16.6"
+version = "20.16.7"
 description = "Virtual Python Environment builder"
 category = "dev"
 optional = false
@@ -1350,7 +1433,7 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "1.4.1"
+version = "1.4.2"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
@@ -1361,6 +1444,17 @@ docs = ["Sphinx (>=3.4)", "sphinx-rtd-theme (>=0.5)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
+[[package]]
+name = "wheel"
+version = "0.38.4"
+description = "A built-package format for Python"
+category = "main"
+optional = true
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=3.0.0)"]
+
 [[package]]
 name = "zipp"
 version = "3.10.0"
@@ -1370,19 +1464,23 @@ optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["sphinx (>=3.5)", "jaraco.packaging (>=9)", "rst.linker (>=1.9)", "furo", "jaraco.tidelift (>=1.4)"]
-testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "flake8 (<5)", "pytest-cov", "pytest-enabler (>=1.3)", "jaraco.itertools", "func-timeout", "jaraco.functools", "more-itertools", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [extras]
 common = ["protobuf"]
+torch = ["torch"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "eb490e5f8674be878ab6c7966d4a5990be855f9f74350ee489959dd15f677831"
+content-hash = "9f20e49f31a6f56c379c1dca4b3a327dabff31cf217980ca9731deea7a4b821c"
 
 [metadata.files]
-anyio = []
+anyio = [
+    {file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
+    {file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
+]
 appnope = [
     {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
     {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
@@ -1414,12 +1512,20 @@ argon2-cffi-bindings = [
     {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ed2937d286e2ad0cc79a7087d3c272832865f779430e0cc2b4f3718d3159b0cb"},
     {file = "argon2_cffi_bindings-21.2.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5e00316dabdaea0b2dd82d141cc66889ced0cdcbfa599e8b471cf22c620c329a"},
 ]
-asttokens = []
-atomicwrites = []
-attrs = []
+asttokens = [
+    {file = "asttokens-2.1.0-py2.py3-none-any.whl", hash = "sha256:1b28ed85e254b724439afc783d4bee767f780b936c3fe8b3275332f42cf5f561"},
+    {file = "asttokens-2.1.0.tar.gz", hash = "sha256:4aa76401a151c8cc572d906aad7aea2a841780834a19d780f4321c0fe1b54635"},
+]
+atomicwrites = [
+    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
+]
+attrs = [
+    {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
+    {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
+]
 babel = [
-    {file = "Babel-2.10.3-py3-none-any.whl", hash = "sha256:ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb"},
-    {file = "Babel-2.10.3.tar.gz", hash = "sha256:7614553711ee97490f732126dc077f8d0ae084ebc6a96e23db1482afabdb2c51"},
+    {file = "Babel-2.11.0-py3-none-any.whl", hash = "sha256:1ad3eca1c885218f6dce2ab67291178944f810a10a9b5f3cb8382a5a232b64fe"},
+    {file = "Babel-2.11.0.tar.gz", hash = "sha256:5ef4b3226b0180dedded4229651c8b0e1a3a6a2837d45a073272f313e4cf97f6"},
 ]
 backcall = [
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@@ -1429,21 +1535,139 @@ beautifulsoup4 = [
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 ]
-black = []
-bleach = []
-certifi = []
-cffi = []
+black = [
+    {file = "black-22.10.0-1fixedarch-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:5cc42ca67989e9c3cf859e84c2bf014f6633db63d1cbdf8fdb666dcd9e77e3fa"},
+    {file = "black-22.10.0-1fixedarch-cp311-cp311-macosx_11_0_x86_64.whl", hash = "sha256:5d8f74030e67087b219b032aa33a919fae8806d49c867846bfacde57f43972ef"},
+    {file = "black-22.10.0-1fixedarch-cp37-cp37m-macosx_10_16_x86_64.whl", hash = "sha256:197df8509263b0b8614e1df1756b1dd41be6738eed2ba9e9769f3880c2b9d7b6"},
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+]
+zipp = [
+    {file = "zipp-3.10.0-py3-none-any.whl", hash = "sha256:4fcb6f278987a6605757302a6e40e896257570d11c51628968ccb2a47e80c6c1"},
+    {file = "zipp-3.10.0.tar.gz", hash = "sha256:7a7262fd930bd3e36c50b9a64897aec3fafff3dfdeec9623ae22b40e93f99bb8"},
+]
diff --git a/pyproject.toml b/pyproject.toml
index ca63286149f..1ed1d039fea 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,9 +10,11 @@ python = "^3.8"
 pydantic = "^1.10.2"
 numpy = "^1.23.4"
 protobuf = { version = "^4.21.9", optional = true }
+torch = { version = "^1.0.0", optional = true }
 
 [tool.poetry.extras]
 common = ["protobuf"]
+torch = ["torch"]
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"
diff --git a/tests/integrations/typing/torch_tensor.py b/tests/integrations/typing/torch_tensor.py
new file mode 100644
index 00000000000..b36f51d5035
--- /dev/null
+++ b/tests/integrations/typing/torch_tensor.py
@@ -0,0 +1,15 @@
+import torch
+
+from docarray import Document
+from docarray.typing import TorchTensor
+
+
+def test_set_tensor():
+    class MyDocument(Document):
+        tensor: TorchTensor
+
+    d = MyDocument(tensor=torch.zeros((3, 224, 224)))
+
+    assert isinstance(d.tensor, TorchTensor)
+    assert isinstance(d.tensor, torch.Tensor)
+    assert (d.tensor == torch.zeros((3, 224, 224))).all()
\ No newline at end of file
diff --git a/tests/units/document/proto/test_document_proto.py b/tests/units/document/proto/test_document_proto.py
index f0918b5b721..7cecf2abe05 100644
--- a/tests/units/document/proto/test_document_proto.py
+++ b/tests/units/document/proto/test_document_proto.py
@@ -1,10 +1,11 @@
 from typing import Optional
 
 import numpy as np
+import torch
 
 from docarray import DocumentArray
 from docarray.document import BaseDocument
-from docarray.typing import Tensor
+from docarray.typing import Tensor, TorchTensor
 
 
 def test_proto_simple():
@@ -63,6 +64,41 @@ class CustomDoc(BaseDocument):
         assert (chunk1.tensor == chunk2.tensor).all()
 
 
+def test_proto_with_nested_doc_pytorch():
+    class CustomInnerDoc(BaseDocument):
+        tensor: TorchTensor
+
+    class CustomDoc(BaseDocument):
+        text: str
+        inner: CustomInnerDoc
+
+    doc = CustomDoc(text='hello', inner=CustomInnerDoc(tensor=torch.zeros((3, 224, 224))))
+
+    CustomDoc.from_protobuf(doc.to_protobuf())
+
+
+def test_proto_with_chunks_doc_pytorch():
+    class CustomInnerDoc(BaseDocument):
+        tensor: TorchTensor
+
+    class CustomDoc(BaseDocument):
+        text: str
+        chunks: DocumentArray[CustomInnerDoc]
+
+    doc = CustomDoc(
+        text='hello',
+        chunks=DocumentArray[CustomInnerDoc](
+            [CustomInnerDoc(tensor=torch.zeros((3, 224, 224))) for _ in range(5)],
+        ),
+    )
+
+    new_doc = CustomDoc.from_protobuf(doc.to_protobuf())
+
+    for chunk1, chunk2 in zip(doc.chunks, new_doc.chunks):
+
+        assert (chunk1.tensor == chunk2.tensor).all()
+
+
 def test_optional_field_in_doc():
     class CustomDoc(BaseDocument):
         text: Optional[str]

From e82067556f891bbf1ec50912541984457aa66618 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 10:56:50 +0100
Subject: [PATCH 04/22] fix: protobuf for pytorch type

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/document/mixins/proto.py              |  4 +++-
 docarray/proto/docarray.proto                  |  2 +-
 docarray/proto/pb2/docarray_pb2.py             | 16 ++++++++--------
 docarray/typing/tensor/torch_tensor.py         |  3 ++-
 tests/integrations/typing/test_typing_proto.py |  5 ++++-
 5 files changed, 18 insertions(+), 12 deletions(-)

diff --git a/docarray/document/mixins/proto.py b/docarray/document/mixins/proto.py
index dc584bd7cd0..b601eda4a2f 100644
--- a/docarray/document/mixins/proto.py
+++ b/docarray/document/mixins/proto.py
@@ -5,7 +5,7 @@
 from docarray.document.abstract_document import AbstractDocument
 from docarray.document.base_node import BaseNode
 from docarray.proto import DocumentProto, NodeProto
-from docarray.typing import ID, AnyUrl, Embedding, ImageUrl, Tensor
+from docarray.typing import ID, AnyUrl, Embedding, ImageUrl, Tensor, TorchTensor
 
 
 class ProtoMixin(AbstractDocument, BaseNode):
@@ -25,6 +25,8 @@ def from_protobuf(cls, pb_msg: 'DocumentProto') -> 'ProtoMixin':
             # the check should be delegated to the type level
             if content_type == 'tensor':
                 fields[field] = Tensor._read_from_proto(value.tensor)
+            elif content_type == 'torch_tensor':
+                fields[field] = TorchTensor._read_from_proto(value.torch_tensor)
             elif content_type == 'embedding':
                 fields[field] = Embedding._read_from_proto(value.embedding)
             elif content_type == 'any_url':
diff --git a/docarray/proto/docarray.proto b/docarray/proto/docarray.proto
index 2f099393a7e..c2042faa06d 100644
--- a/docarray/proto/docarray.proto
+++ b/docarray/proto/docarray.proto
@@ -55,7 +55,7 @@ message NodeProto {
 
     string id = 9;
 
-    NdArrayProto torch_embedding = 10;
+    NdArrayProto torch_tensor = 10;
 
   }
 
diff --git a/docarray/proto/pb2/docarray_pb2.py b/docarray/proto/pb2/docarray_pb2.py
index 45014db0aec..92b08173189 100644
--- a/docarray/proto/pb2/docarray_pb2.py
+++ b/docarray/proto/pb2/docarray_pb2.py
@@ -14,7 +14,7 @@
 from google.protobuf import struct_pb2 as google_dot_protobuf_dot_struct__pb2
 
 
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0e\x64ocarray.proto\x12\x08\x64ocarray\x1a\x1cgoogle/protobuf/struct.proto\"A\n\x11\x44\x65nseNdArrayProto\x12\x0e\n\x06\x62uffer\x18\x01 \x01(\x0c\x12\r\n\x05shape\x18\x02 \x03(\r\x12\r\n\x05\x64type\x18\x03 \x01(\t\"g\n\x0cNdArrayProto\x12*\n\x05\x64\x65nse\x18\x01 \x01(\x0b\x32\x1b.docarray.DenseNdArrayProto\x12+\n\nparameters\x18\x02 \x01(\x0b\x32\x17.google.protobuf.Struct\"\xd1\x02\n\tNodeProto\x12\x0e\n\x04\x62lob\x18\x01 \x01(\x0cH\x00\x12(\n\x06tensor\x18\x02 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x0e\n\x04text\x18\x03 \x01(\tH\x00\x12)\n\x06nested\x18\x04 \x01(\x0b\x32\x17.docarray.DocumentProtoH\x00\x12.\n\x06\x63hunks\x18\x05 \x01(\x0b\x32\x1c.docarray.DocumentArrayProtoH\x00\x12+\n\tembedding\x18\x06 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x11\n\x07\x61ny_url\x18\x07 \x01(\tH\x00\x12\x13\n\timage_url\x18\x08 \x01(\tH\x00\x12\x0c\n\x02id\x18\t \x01(\tH\x00\x12\x31\n\x0ftorch_embedding\x18\n \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x42\t\n\x07\x63ontent\"\x82\x01\n\rDocumentProto\x12/\n\x04\x64\x61ta\x18\x01 \x03(\x0b\x32!.docarray.DocumentProto.DataEntry\x1a@\n\tDataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\"\n\x05value\x18\x02 \x01(\x0b\x32\x13.docarray.NodeProto:\x02\x38\x01\";\n\x12\x44ocumentArrayProto\x12%\n\x04\x64ocs\x18\x01 \x03(\x0b\x32\x17.docarray.DocumentProtob\x06proto3')
+DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x0e\x64ocarray.proto\x12\x08\x64ocarray\x1a\x1cgoogle/protobuf/struct.proto\"A\n\x11\x44\x65nseNdArrayProto\x12\x0e\n\x06\x62uffer\x18\x01 \x01(\x0c\x12\r\n\x05shape\x18\x02 \x03(\r\x12\r\n\x05\x64type\x18\x03 \x01(\t\"g\n\x0cNdArrayProto\x12*\n\x05\x64\x65nse\x18\x01 \x01(\x0b\x32\x1b.docarray.DenseNdArrayProto\x12+\n\nparameters\x18\x02 \x01(\x0b\x32\x17.google.protobuf.Struct\"\xce\x02\n\tNodeProto\x12\x0e\n\x04\x62lob\x18\x01 \x01(\x0cH\x00\x12(\n\x06tensor\x18\x02 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x0e\n\x04text\x18\x03 \x01(\tH\x00\x12)\n\x06nested\x18\x04 \x01(\x0b\x32\x17.docarray.DocumentProtoH\x00\x12.\n\x06\x63hunks\x18\x05 \x01(\x0b\x32\x1c.docarray.DocumentArrayProtoH\x00\x12+\n\tembedding\x18\x06 \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x12\x11\n\x07\x61ny_url\x18\x07 \x01(\tH\x00\x12\x13\n\timage_url\x18\x08 \x01(\tH\x00\x12\x0c\n\x02id\x18\t \x01(\tH\x00\x12.\n\x0ctorch_tensor\x18\n \x01(\x0b\x32\x16.docarray.NdArrayProtoH\x00\x42\t\n\x07\x63ontent\"\x82\x01\n\rDocumentProto\x12/\n\x04\x64\x61ta\x18\x01 \x03(\x0b\x32!.docarray.DocumentProto.DataEntry\x1a@\n\tDataEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\"\n\x05value\x18\x02 \x01(\x0b\x32\x13.docarray.NodeProto:\x02\x38\x01\";\n\x12\x44ocumentArrayProto\x12%\n\x04\x64ocs\x18\x01 \x03(\x0b\x32\x17.docarray.DocumentProtob\x06proto3')
 
 _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
 _builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'docarray_pb2', globals())
@@ -28,11 +28,11 @@
   _NDARRAYPROTO._serialized_start=125
   _NDARRAYPROTO._serialized_end=228
   _NODEPROTO._serialized_start=231
-  _NODEPROTO._serialized_end=568
-  _DOCUMENTPROTO._serialized_start=571
-  _DOCUMENTPROTO._serialized_end=701
-  _DOCUMENTPROTO_DATAENTRY._serialized_start=637
-  _DOCUMENTPROTO_DATAENTRY._serialized_end=701
-  _DOCUMENTARRAYPROTO._serialized_start=703
-  _DOCUMENTARRAYPROTO._serialized_end=762
+  _NODEPROTO._serialized_end=565
+  _DOCUMENTPROTO._serialized_start=568
+  _DOCUMENTPROTO._serialized_end=698
+  _DOCUMENTPROTO_DATAENTRY._serialized_start=634
+  _DOCUMENTPROTO_DATAENTRY._serialized_end=698
+  _DOCUMENTARRAYPROTO._serialized_start=700
+  _DOCUMENTARRAYPROTO._serialized_end=759
 # @@protoc_insertion_point(module_scope)
diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index 5b61676ea8d..ce0632f9ba3 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -60,7 +60,7 @@ def from_ndarray(cls: Type[T], value: np.ndarray) -> T:
         """
         return cls.from_native_torch_tensor(torch.from_numpy(value))
 
-    def _to_node_protobuf(self: T, field: str = 'torch_embedding') -> NodeProto:
+    def _to_node_protobuf(self: T, field: str = 'torch_tensor') -> NodeProto:
         """Convert Document into a NodeProto protobuf message. This function should
         be called when the Document is nested into another Document that need to be
         converted into a protobuf
@@ -94,3 +94,4 @@ def _flush_tensor_to_proto(pb_msg: 'NdArrayProto', value: 'TorchTensor'):
         pb_msg.dense.ClearField('shape')
         pb_msg.dense.shape.extend(list(value.shape))
         pb_msg.dense.dtype = value.dtype.str
+        x = 3
diff --git a/tests/integrations/typing/test_typing_proto.py b/tests/integrations/typing/test_typing_proto.py
index 45919dbb06e..d95a1bfaf36 100644
--- a/tests/integrations/typing/test_typing_proto.py
+++ b/tests/integrations/typing/test_typing_proto.py
@@ -1,19 +1,22 @@
 import numpy as np
+import torch
 
 from docarray import Document
 from docarray.document import AnyDocument
-from docarray.typing import AnyUrl, Embedding, ImageUrl, Tensor
+from docarray.typing import AnyUrl, Embedding, ImageUrl, Tensor, TorchTensor
 
 
 def test_proto_all_types():
     class Mymmdoc(Document):
         tensor: Tensor
+        torch_tensor: TorchTensor
         embedding: Embedding
         any_url: AnyUrl
         image_url: ImageUrl
 
     doc = Mymmdoc(
         tensor=np.zeros((3, 224, 224)),
+        torch_tensor=torch.zeros((3, 224, 224)),
         embedding=np.zeros((100, 1)),
         any_url='http://jina.ai',
         image_url='http://jina.ai',

From 4b449aa885c7fd3652b97e82cbed38d8528bf97a Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 11:09:26 +0100
Subject: [PATCH 05/22] ci: install all extras in the ci

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 .github/workflows/ci.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 802cb6fe60c..f63b76e14de 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -58,7 +58,7 @@ jobs:
         run: |
           python -m pip install --upgrade pip
           python -m pip install poetry
-          poetry install -E common --without dev
+          poetry install --all-extras --without dev
       - name: Test basic import
         run: poetry run python -c 'from docarray import DocumentArray, Document'
 
@@ -110,7 +110,7 @@ jobs:
         run: |
           python -m pip install --upgrade pip
           python -m pip install poetry
-          poetry install -E common
+          poetry install -all-extras
 
       - name: Test
         id: test

From 633b701c358abc7c12faf511828577dd8d4fec1f Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 11:39:30 +0100
Subject: [PATCH 06/22] refactor: make nice looking

---
 docarray/typing/tensor/torch_tensor.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index ce0632f9ba3..5ac955a1f11 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -1,7 +1,7 @@
 from typing import TYPE_CHECKING, Any, Type, TypeVar, Union, cast
 
-import torch
 import numpy as np
+import torch
 
 if TYPE_CHECKING:
     from pydantic.fields import ModelField
@@ -12,11 +12,14 @@
 
 T = TypeVar('T', bound='TorchTensor')
 
+
 class metaTorchAndNode(type(torch.Tensor), type(BaseNode)):
     pass
 
+
 class TorchTensor(torch.Tensor, BaseNode, metaclass=metaTorchAndNode):
-    # Subclassing torch.Tensor following the advice from here: https://pytorch.org/docs/stable/notes/extending.html#subclassing-torch-tensor
+    # Subclassing torch.Tensor following the advice from here:
+    # https://pytorch.org/docs/stable/notes/extending.html#subclassing-torch-tensor
     @classmethod
     def __get_validators__(cls):
         # one or more validators may be yielded which will be called in the
@@ -94,4 +97,3 @@ def _flush_tensor_to_proto(pb_msg: 'NdArrayProto', value: 'TorchTensor'):
         pb_msg.dense.ClearField('shape')
         pb_msg.dense.shape.extend(list(value.shape))
         pb_msg.dense.dtype = value.dtype.str
-        x = 3

From 492659eadf602649f4a6d6850bbfc6e3266985f9 Mon Sep 17 00:00:00 2001
From: Johannes Messner <44071807+JohannesMessner@users.noreply.github.com>
Date: Wed, 16 Nov 2022 11:40:47 +0100
Subject: [PATCH 07/22] docs: update docarray/typing/tensor/torch_tensor.py

Co-authored-by: samsja <55492238+samsja@users.noreply.github.com>
Signed-off-by: Johannes Messner <44071807+JohannesMessner@users.noreply.github.com>
---
 docarray/typing/tensor/torch_tensor.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index 5ac955a1f11..4f30ae58cb1 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -29,7 +29,7 @@ def __get_validators__(cls):
 
     @classmethod
     def validate(
-        cls: Type[T], value: Union[T, Any], field: 'ModelField', config: 'BaseConfig'
+        cls: Type[T], value: Union[T, nd.ndarray, Any], field: 'ModelField', config: 'BaseConfig'
     ) -> T:
         if isinstance(value, TorchTensor):
             return cast(T, value)

From a5c1a31546f1c70d894fc5e33ce44e8151715a7b Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 11:55:45 +0100
Subject: [PATCH 08/22] refactor: code style

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/tensor/torch_tensor.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index 4f30ae58cb1..431b78738a3 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -6,6 +6,7 @@
 if TYPE_CHECKING:
     from pydantic.fields import ModelField
     from pydantic import BaseConfig
+    import numpy as np
 
 from docarray.document.base_node import BaseNode
 from docarray.proto import NdArrayProto, NodeProto
@@ -29,7 +30,10 @@ def __get_validators__(cls):
 
     @classmethod
     def validate(
-        cls: Type[T], value: Union[T, nd.ndarray, Any], field: 'ModelField', config: 'BaseConfig'
+        cls: Type[T],
+        value: Union[T, np.ndarray, Any],
+        field: 'ModelField',
+        config: 'BaseConfig',
     ) -> T:
         if isinstance(value, TorchTensor):
             return cast(T, value)

From 8df13c14d6e224b339d191191273ca7b6c85bf3c Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 16:28:30 +0100
Subject: [PATCH 09/22] fix: black and mypy

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/tensor/torch_tensor.py            | 15 +++++++++------
 tests/integrations/typing/torch_tensor.py         |  2 +-
 tests/units/document/proto/test_document_proto.py |  4 +++-
 3 files changed, 13 insertions(+), 8 deletions(-)

diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index 431b78738a3..9e39b2741bc 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -13,8 +13,11 @@
 
 T = TypeVar('T', bound='TorchTensor')
 
+torch_base = type(torch.Tensor)  # type: Any
+node_base = type(BaseNode)  # type: Any
 
-class metaTorchAndNode(type(torch.Tensor), type(BaseNode)):
+
+class metaTorchAndNode(torch_base, node_base):
     pass
 
 
@@ -56,7 +59,7 @@ def from_native_torch_tensor(cls: Type[T], value: torch.Tensor) -> T:
         :return: a TorchTensor
         """
         value.__class__ = cls
-        return value
+        return cast(T, value)
 
     @classmethod
     def from_ndarray(cls: Type[T], value: np.ndarray) -> T:
@@ -96,8 +99,8 @@ def _read_from_proto(cls: Type[T], pb_msg: 'NdArrayProto') -> 'T':
 
     @staticmethod
     def _flush_tensor_to_proto(pb_msg: 'NdArrayProto', value: 'TorchTensor'):
-        value = value.detach().cpu().numpy()
-        pb_msg.dense.buffer = value.tobytes()
+        value_np = value.detach().cpu().numpy()
+        pb_msg.dense.buffer = value_np.tobytes()
         pb_msg.dense.ClearField('shape')
-        pb_msg.dense.shape.extend(list(value.shape))
-        pb_msg.dense.dtype = value.dtype.str
+        pb_msg.dense.shape.extend(list(value_np.shape))
+        pb_msg.dense.dtype = value_np.dtype.str
diff --git a/tests/integrations/typing/torch_tensor.py b/tests/integrations/typing/torch_tensor.py
index b36f51d5035..0974693234a 100644
--- a/tests/integrations/typing/torch_tensor.py
+++ b/tests/integrations/typing/torch_tensor.py
@@ -12,4 +12,4 @@ class MyDocument(Document):
 
     assert isinstance(d.tensor, TorchTensor)
     assert isinstance(d.tensor, torch.Tensor)
-    assert (d.tensor == torch.zeros((3, 224, 224))).all()
\ No newline at end of file
+    assert (d.tensor == torch.zeros((3, 224, 224))).all()
diff --git a/tests/units/document/proto/test_document_proto.py b/tests/units/document/proto/test_document_proto.py
index 7cecf2abe05..a842b53eda6 100644
--- a/tests/units/document/proto/test_document_proto.py
+++ b/tests/units/document/proto/test_document_proto.py
@@ -72,7 +72,9 @@ class CustomDoc(BaseDocument):
         text: str
         inner: CustomInnerDoc
 
-    doc = CustomDoc(text='hello', inner=CustomInnerDoc(tensor=torch.zeros((3, 224, 224))))
+    doc = CustomDoc(
+        text='hello', inner=CustomInnerDoc(tensor=torch.zeros((3, 224, 224)))
+    )
 
     CustomDoc.from_protobuf(doc.to_protobuf())
 

From 28f1ed01a87feec6bfe41836b4ca878f26ecd6c8 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 16:41:12 +0100
Subject: [PATCH 10/22] fix: suppress mypy import error

---
 docarray/typing/tensor/torch_tensor.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docarray/typing/tensor/torch_tensor.py b/docarray/typing/tensor/torch_tensor.py
index 9e39b2741bc..4812d52ee38 100644
--- a/docarray/typing/tensor/torch_tensor.py
+++ b/docarray/typing/tensor/torch_tensor.py
@@ -1,7 +1,7 @@
 from typing import TYPE_CHECKING, Any, Type, TypeVar, Union, cast
 
 import numpy as np
-import torch
+import torch  # type: ignore
 
 if TYPE_CHECKING:
     from pydantic.fields import ModelField

From 4df03ef9286218e9815cc6f53f66a8f306528506 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Wed, 16 Nov 2022 16:54:59 +0100
Subject: [PATCH 11/22] ci: fix ci install

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 .github/workflows/ci.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index f63b76e14de..82d991947f7 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -110,7 +110,7 @@ jobs:
         run: |
           python -m pip install --upgrade pip
           python -m pip install poetry
-          poetry install -all-extras
+          poetry install --all-extras
 
       - name: Test
         id: test

From 81f7810f0f3ba3745d70b90a2f14bcd993b5063b Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Thu, 17 Nov 2022 18:11:08 +0100
Subject: [PATCH 12/22] feat: add new type for image urls

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/any_url.py           |  33 +++++
 docarray/typing/url/helper.py            |  84 +++++++++++
 docarray/typing/url/image_url.py         | 177 ++++++++++++++++++++++-
 poetry.lock                              |  77 +++++++++-
 pyproject.toml                           |   1 +
 tests/toydata/cube.ply                   |  24 +++
 tests/toydata/docs.csv                   |   3 +
 tests/toydata/docs.jsonlines             |   2 +
 tests/toydata/docs_groundtruth.jsonlines |   2 +
 tests/toydata/hello.wav                  | Bin 0 -> 61710 bytes
 tests/toydata/image-data/05978.jpg       | Bin 0 -> 22715 bytes
 tests/toydata/image-data/05979.jpg       | Bin 0 -> 19791 bytes
 tests/toydata/image-data/05980.jpg       | Bin 0 -> 19170 bytes
 tests/toydata/image-data/05981.jpg       | Bin 0 -> 22497 bytes
 tests/toydata/image-data/05982.jpg       | Bin 0 -> 22080 bytes
 tests/toydata/image-data/05983.jpg       | Bin 0 -> 26715 bytes
 tests/toydata/image-data/05984-2.jpeg    | Bin 0 -> 14068 bytes
 tests/toydata/image-data/05984.jpg       | Bin 0 -> 14068 bytes
 tests/toydata/image-data/so_good.png     | Bin 0 -> 67775 bytes
 tests/toydata/mov_bbb.mp4                | Bin 0 -> 788493 bytes
 tests/toydata/olleh.wav                  | Bin 0 -> 61710 bytes
 tests/toydata/test.glb                   | Bin 0 -> 22808 bytes
 tests/toydata/test.png                   | Bin 0 -> 27572 bytes
 tests/toydata/tetrahedron.mtl            |  22 +++
 tests/toydata/tetrahedron.obj            |  20 +++
 tests/units/typing/url/test_image_url.py | 101 ++++++++++++-
 26 files changed, 538 insertions(+), 8 deletions(-)
 create mode 100644 docarray/typing/url/helper.py
 create mode 100644 tests/toydata/cube.ply
 create mode 100644 tests/toydata/docs.csv
 create mode 100644 tests/toydata/docs.jsonlines
 create mode 100644 tests/toydata/docs_groundtruth.jsonlines
 create mode 100644 tests/toydata/hello.wav
 create mode 100644 tests/toydata/image-data/05978.jpg
 create mode 100644 tests/toydata/image-data/05979.jpg
 create mode 100644 tests/toydata/image-data/05980.jpg
 create mode 100644 tests/toydata/image-data/05981.jpg
 create mode 100644 tests/toydata/image-data/05982.jpg
 create mode 100644 tests/toydata/image-data/05983.jpg
 create mode 100644 tests/toydata/image-data/05984-2.jpeg
 create mode 100644 tests/toydata/image-data/05984.jpg
 create mode 100644 tests/toydata/image-data/so_good.png
 create mode 100644 tests/toydata/mov_bbb.mp4
 create mode 100644 tests/toydata/olleh.wav
 create mode 100644 tests/toydata/test.glb
 create mode 100644 tests/toydata/test.png
 create mode 100644 tests/toydata/tetrahedron.mtl
 create mode 100644 tests/toydata/tetrahedron.obj

diff --git a/docarray/typing/url/any_url.py b/docarray/typing/url/any_url.py
index 5bec625d476..c76a98b9085 100644
--- a/docarray/typing/url/any_url.py
+++ b/docarray/typing/url/any_url.py
@@ -1,10 +1,20 @@
+from typing import TYPE_CHECKING
+
 from pydantic import AnyUrl as BaseAnyUrl
+from pydantic import errors
 
 from docarray.document.base_node import BaseNode
 from docarray.proto import NodeProto
 
+if TYPE_CHECKING:
+    from pydantic.networks import Parts
+
 
 class AnyUrl(BaseAnyUrl, BaseNode):
+    host_required = (
+        False  # turn off host requirement to allow passing of local paths as URL
+    )
+
     def _to_node_protobuf(self) -> NodeProto:
         """Convert Document into a NodeProto protobuf message. This function should
         be called when the Document is nested into another Document that need to
@@ -13,3 +23,26 @@ def _to_node_protobuf(self) -> NodeProto:
         :return: the nested item protobuf message
         """
         return NodeProto(any_url=str(self))
+
+    @classmethod
+    def validate_parts(cls, parts: 'Parts', validate_port: bool = True) -> 'Parts':
+        """
+        A method used to validate parts of a URL.
+        Our URLs should be able to function both in local and remote settings.
+        Therefore, we allow missing `scheme`, making it possible to pass a file path.
+        """
+        scheme = parts['scheme']
+        if scheme is None:
+            pass  # allow missing scheme, unlike pydantic
+
+        elif cls.allowed_schemes and scheme.lower() not in cls.allowed_schemes:
+            raise errors.UrlSchemePermittedError(set(cls.allowed_schemes))
+
+        if validate_port:
+            cls._validate_port(parts['port'])
+
+        user = parts['user']
+        if cls.user_required and user is None:
+            raise errors.UrlUserInfoError()
+
+        return parts
diff --git a/docarray/typing/url/helper.py b/docarray/typing/url/helper.py
new file mode 100644
index 00000000000..b68e9aa3196
--- /dev/null
+++ b/docarray/typing/url/helper.py
@@ -0,0 +1,84 @@
+import os
+import urllib.parse
+import urllib.request
+from contextlib import nullcontext
+
+
+def _uri_to_blob(uri: str, timeout=None) -> bytes:
+    """Convert uri to blob
+    Internally it reads uri into blob.
+    :param uri: the uri of Document
+    :param timeout: timeout for urlopen. Only relevant if uri is not local
+    :return: blob bytes.
+    """
+    if urllib.parse.urlparse(uri).scheme in {'http', 'https', 'data'}:
+        req = urllib.request.Request(uri, headers={'User-Agent': 'Mozilla/5.0'})
+        urlopen_kwargs = {'timeout': timeout} if timeout is not None else {}
+        with urllib.request.urlopen(req, **urlopen_kwargs) as fp:
+            return fp.read()
+    elif os.path.exists(uri):
+        with open(uri, 'rb') as fp:
+            return fp.read()
+    else:
+        raise FileNotFoundError(f'`{uri}` is not a URL or a valid local path')
+
+
+def _get_file_context(file):
+    if hasattr(file, 'write'):
+        file_ctx = nullcontext(file)
+    else:
+        file_ctx = open(file, 'wb')
+
+    return file_ctx
+
+
+def _to_datauri(
+    mimetype, data, charset: str = 'utf-8', base64: bool = False, binary: bool = True
+) -> str:
+    """
+    Convert data to data URI.
+
+    :param mimetype: MIME types (e.g. 'text/plain','image/png' etc.)
+    :param data: Data representations.
+    :param charset: Charset may be any character set registered with IANA
+    :param base64: Used to encode arbitrary octet sequences into a form that satisfies
+        the rules of 7bit. Designed to be efficient for non-text 8 bit and binary data.
+        Sometimes used for text data that frequently uses non-US-ASCII characters.
+    :param binary: True if from binary data False for other data (e.g. text)
+    :return: URI data
+    """
+    parts = ['data:', mimetype]
+    if charset is not None:
+        parts.extend([';charset=', charset])
+    if base64:
+        parts.append(';base64')
+        from base64 import encodebytes as encode64
+
+        if binary:
+            encoded_data = encode64(data).decode(charset).replace('\n', '').strip()
+        else:
+            encoded_data = encode64(data).strip()
+    else:
+        from urllib.parse import quote, quote_from_bytes
+
+        if binary:
+            encoded_data = quote_from_bytes(data)
+        else:
+            encoded_data = quote(data)
+    parts.extend([',', encoded_data])
+    return ''.join(parts)
+
+
+def _is_uri(value: str) -> bool:
+    scheme = urllib.parse.urlparse(value).scheme
+    return (
+        (scheme in {'http', 'https'})
+        or (scheme in {'data'})
+        or os.path.exists(value)
+        or os.access(os.path.dirname(value), os.W_OK)
+    )
+
+
+def _is_datauri(value: str) -> bool:
+    scheme = urllib.parse.urlparse(value).scheme
+    return scheme in {'data'}
diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 062419fa53f..8f32d53d19e 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,7 +1,14 @@
+import io
+import struct
+from typing import Optional, Union
+
 import numpy as np
 
 from docarray.proto import NodeProto
 from docarray.typing.url.any_url import AnyUrl
+from docarray.typing.url.helper import _uri_to_blob
+
+IMAGE_FILE_FORMATS = ('png', 'jpeg', 'jpg')
 
 
 class ImageUrl(AnyUrl):
@@ -14,12 +21,172 @@ def _to_node_protobuf(self) -> NodeProto:
         """
         return NodeProto(image_url=str(self))
 
-    def load(self) -> np.ndarray:
+    # TODO(johannes) add validation for image URI
+
+    def load(
+        self,
+        width: Optional[int] = None,
+        height: Optional[int] = None,
+        channel_axis: int = -1,
+        timeout: Optional[float] = None,
+    ) -> np.ndarray:
+        """
+        Load the data from the url into a numpy.ndarray image tensor
+
+        :param width: width of the image tensor.
+        :param height: height of the image tensor.
+        :param channel_axis: axis where to put the image color channel;
+            ``-1`` indicates the color channel info at the last axis
+        :param timeout: timeout (sec) for urlopen network request.
+            Only relevant if URL is not local
+        :return: np.ndarray representing the image as RGB values
         """
-        transform the url in a image Tensor
+        # TODO(johannes) the axis argument is confusing, because it if it is not -1,
+        #  it is unclear where width and height end up
+        # instead we should allow the user to pass an axis for width, height, and axis
+
+        buffer = _uri_to_blob(self, timeout=timeout)
+        tensor = _to_image_tensor(io.BytesIO(buffer), width=width, height=height)
+        return _move_channel_axis(tensor, target_channel_axis=channel_axis)
 
-        this is just a patch we will move the function from old docarray
-        :return: tensor image
+    def load_to_bytes(
+        self,
+        image_format: str = 'png',
+        width: Optional[int] = None,
+        height: Optional[int] = None,
+        timeout: Optional[float] = None,
+    ) -> bytes:
+        """Load image at URL to bytes (buffer).
+
+        :param image_format: File format of the file located the the url.
+            Supported formats are `png`, `jpg`, and `jpeg`.
+        :param width: Before converting to bytes, resize the image to this width.
+        :param height: Before converting to bytes, resize the image to this height.
+        :param timeout: timeout (sec) for urlopen network request.
+            Only relevant if URL is not local
+        :return: The image as bytes (buffer).
         """
+        channel_axis = -1
+        image_tensor = self.load(
+            width=width, height=height, channel_axis=channel_axis, timeout=timeout
+        )
+        return _image_tensor_to_bytes(image_tensor, image_format=image_format)
+
+
+def _image_tensor_to_bytes(arr: np.ndarray, image_format: str) -> bytes:
+    """
+    Convert image-ndarray to buffer bytes.
+
+    :param arr: Data representations of the png.
+    :param image_format: `png` or `jpeg`
+    :return: Png in buffer bytes.
+    """
+
+    if image_format not in IMAGE_FILE_FORMATS:
+        raise ValueError(
+            f'image_format must be one of {IMAGE_FILE_FORMATS},'
+            f'receiving `{image_format}`'
+        )
+    if image_format == 'jpg':
+        image_format = 'jpeg'  # unify it to ISO standard
+
+    arr = arr.astype(np.uint8).squeeze()
+
+    if arr.ndim == 1:
+        # note this should be only used for MNIST/FashionMNIST dataset,
+        # because of the nature of these two datasets
+        # no other image data should flattened into 1-dim array.
+        image_bytes = _png_to_buffer_1d(arr, 28, 28)
+    elif arr.ndim == 2:
+        from PIL import Image
+
+        im = Image.fromarray(arr).convert('L')
+        image_bytes = _pillow_image_to_buffer(im, image_format=image_format.upper())
+    elif arr.ndim == 3:
+        from PIL import Image
+
+        im = Image.fromarray(arr).convert('RGB')
+        image_bytes = _pillow_image_to_buffer(im, image_format=image_format.upper())
+    else:
+        raise ValueError(
+            f'{arr.shape} ndarray can not be converted into an image buffer.'
+        )
+
+    return image_bytes
+
+
+def _png_to_buffer_1d(arr: np.ndarray, width: int, height: int) -> bytes:
+    import zlib
+
+    pixels = []
+    for p in arr[::-1]:
+        pixels.extend([p, p, p, 255])
+    buf = bytearray(pixels)
+
+    # reverse the vertical line order and add null bytes at the start
+    width_byte_4 = width * 4
+    raw_data = b''.join(
+        b'\x00' + buf[span : span + width_byte_4]
+        for span in range((height - 1) * width_byte_4, -1, -width_byte_4)
+    )
+
+    def png_pack(png_tag, data):
+        chunk_head = png_tag + data
+        return (
+            struct.pack('!I', len(data))
+            + chunk_head
+            + struct.pack('!I', 0xFFFFFFFF & zlib.crc32(chunk_head))
+        )
+
+    png_bytes = b''.join(
+        [
+            b'\x89PNG\r\n\x1a\n',
+            png_pack(b'IHDR', struct.pack('!2I5B', width, height, 8, 6, 0, 0, 0)),
+            png_pack(b'IDAT', zlib.compress(raw_data, 9)),
+            png_pack(b'IEND', b''),
+        ]
+    )
+
+    return png_bytes
+
+
+def _pillow_image_to_buffer(image, image_format: str) -> bytes:
+    img_byte_arr = io.BytesIO()
+    image.save(img_byte_arr, format=image_format)
+    img_byte_arr = img_byte_arr.getvalue()
+    return img_byte_arr
+
+
+def _move_channel_axis(
+    tensor: np.ndarray, original_channel_axis: int = -1, target_channel_axis: int = -1
+) -> np.ndarray:
+    """Moves channel axis around."""
+    if original_channel_axis != target_channel_axis:
+        tensor = np.moveaxis(tensor, original_channel_axis, target_channel_axis)
+    return tensor
+
+
+def _to_image_tensor(
+    source: Union[str, bytes, io.BytesIO],
+    width: Optional[int] = None,
+    height: Optional[int] = None,
+) -> 'np.ndarray':
+    """
+    Convert an image blob to tensor
+
+    :param source: binary blob or file path
+    :param width: the width of the image tensor.
+    :param height: the height of the tensor.
+    :return: image tensor
+    """
+    from PIL import Image as PILImage
 
-        return np.zeros((3, 224, 224))
+    raw_img = PILImage.open(source)
+    if width or height:
+        new_width = width or raw_img.width
+        new_height = height or raw_img.height
+        raw_img = raw_img.resize((new_width, new_height))
+    try:
+        return np.array(raw_img.convert('RGB'))
+    except Exception:
+        return np.array(raw_img)
diff --git a/poetry.lock b/poetry.lock
index 88db66d8d36..a572d81659c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -946,6 +946,18 @@ category = "dev"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "pillow"
+version = "9.3.0"
+description = "Python Imaging Library (Fork)"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+
 [[package]]
 name = "pkgutil-resolve-name"
 version = "1.3.10"
@@ -1474,7 +1486,7 @@ torch = ["torch"]
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "9f20e49f31a6f56c379c1dca4b3a327dabff31cf217980ca9731deea7a4b821c"
+content-hash = "41997bd5805db5d7cad13226d7f0867fad81fcb194ffc5b68ed1d77623f80f68"
 
 [metadata.files]
 anyio = [
@@ -1961,6 +1973,69 @@ pickleshare = [
     {file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"},
     {file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
 ]
+pillow = [
+    {file = "Pillow-9.3.0-1-cp37-cp37m-win32.whl", hash = "sha256:e6ea6b856a74d560d9326c0f5895ef8050126acfdc7ca08ad703eb0081e82b74"},
+    {file = "Pillow-9.3.0-1-cp37-cp37m-win_amd64.whl", hash = "sha256:32a44128c4bdca7f31de5be641187367fe2a450ad83b833ef78910397db491aa"},
+    {file = "Pillow-9.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:0b7257127d646ff8676ec8a15520013a698d1fdc48bc2a79ba4e53df792526f2"},
+    {file = "Pillow-9.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b90f7616ea170e92820775ed47e136208e04c967271c9ef615b6fbd08d9af0e3"},
+    {file = "Pillow-9.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68943d632f1f9e3dce98908e873b3a090f6cba1cbb1b892a9e8d97c938871fbe"},
+    {file = "Pillow-9.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:be55f8457cd1eac957af0c3f5ece7bc3f033f89b114ef30f710882717670b2a8"},
+    {file = "Pillow-9.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d77adcd56a42d00cc1be30843d3426aa4e660cab4a61021dc84467123f7a00c"},
+    {file = "Pillow-9.3.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:829f97c8e258593b9daa80638aee3789b7df9da5cf1336035016d76f03b8860c"},
+    {file = "Pillow-9.3.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:801ec82e4188e935c7f5e22e006d01611d6b41661bba9fe45b60e7ac1a8f84de"},
+    {file = "Pillow-9.3.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:871b72c3643e516db4ecf20efe735deb27fe30ca17800e661d769faab45a18d7"},
+    {file = "Pillow-9.3.0-cp310-cp310-win32.whl", hash = "sha256:655a83b0058ba47c7c52e4e2df5ecf484c1b0b0349805896dd350cbc416bdd91"},
+    {file = "Pillow-9.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:9f47eabcd2ded7698106b05c2c338672d16a6f2a485e74481f524e2a23c2794b"},
+    {file = "Pillow-9.3.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:57751894f6618fd4308ed8e0c36c333e2f5469744c34729a27532b3db106ee20"},
+    {file = "Pillow-9.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7db8b751ad307d7cf238f02101e8e36a128a6cb199326e867d1398067381bff4"},
+    {file = "Pillow-9.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3033fbe1feb1b59394615a1cafaee85e49d01b51d54de0cbf6aa8e64182518a1"},
+    {file = "Pillow-9.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:22b012ea2d065fd163ca096f4e37e47cd8b59cf4b0fd47bfca6abb93df70b34c"},
+    {file = "Pillow-9.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b9a65733d103311331875c1dca05cb4606997fd33d6acfed695b1232ba1df193"},
+    {file = "Pillow-9.3.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:502526a2cbfa431d9fc2a079bdd9061a2397b842bb6bc4239bb176da00993812"},
+    {file = "Pillow-9.3.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:90fb88843d3902fe7c9586d439d1e8c05258f41da473952aa8b328d8b907498c"},
+    {file = "Pillow-9.3.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:89dca0ce00a2b49024df6325925555d406b14aa3efc2f752dbb5940c52c56b11"},
+    {file = "Pillow-9.3.0-cp311-cp311-win32.whl", hash = "sha256:3168434d303babf495d4ba58fc22d6604f6e2afb97adc6a423e917dab828939c"},
+    {file = "Pillow-9.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:18498994b29e1cf86d505edcb7edbe814d133d2232d256db8c7a8ceb34d18cef"},
+    {file = "Pillow-9.3.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:772a91fc0e03eaf922c63badeca75e91baa80fe2f5f87bdaed4280662aad25c9"},
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 pkgutil-resolve-name = [
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diff --git a/pyproject.toml b/pyproject.toml
index 1ed1d039fea..e998519fe27 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,6 +11,7 @@ pydantic = "^1.10.2"
 numpy = "^1.23.4"
 protobuf = { version = "^4.21.9", optional = true }
 torch = { version = "^1.0.0", optional = true }
+pillow = {version = "^9.3.0", extras = ["image"]}
 
 [tool.poetry.extras]
 common = ["protobuf"]
diff --git a/tests/toydata/cube.ply b/tests/toydata/cube.ply
new file mode 100644
index 00000000000..681156a7fc4
--- /dev/null
+++ b/tests/toydata/cube.ply
@@ -0,0 +1,24 @@
+ply
+format ascii 1.0
+comment created by platoply
+element vertex 8
+property float32 x
+property float32 y
+property float32 z
+element face 6
+property list uint8 int32 vertex_indices
+end_header
+-1 -1 -1 
+1 -1 -1 
+1 1 -1 
+-1 1 -1 
+-1 -1 1 
+1 -1 1 
+1 1 1 
+-1 1 1 
+4 0 1 2 3 
+4 5 4 7 6 
+4 6 2 1 5 
+4 3 7 4 0 
+4 7 3 2 6 
+4 5 1 0 4 
diff --git a/tests/toydata/docs.csv b/tests/toydata/docs.csv
new file mode 100644
index 00000000000..e01131614fc
--- /dev/null
+++ b/tests/toydata/docs.csv
@@ -0,0 +1,3 @@
+source,url,question,answer,wrong_answer
+testsrc,https://jina.ai,What are the symptoms?,Symptoms ...,As cases ...
+testsrc,https://jina.ai,When should I get tested?,Your doctor ...,If you ...
diff --git a/tests/toydata/docs.jsonlines b/tests/toydata/docs.jsonlines
new file mode 100644
index 00000000000..58b3fbfe534
--- /dev/null
+++ b/tests/toydata/docs.jsonlines
@@ -0,0 +1,2 @@
+{"text": "a"}
+{"text": "b"}
diff --git a/tests/toydata/docs_groundtruth.jsonlines b/tests/toydata/docs_groundtruth.jsonlines
new file mode 100644
index 00000000000..d34b0083853
--- /dev/null
+++ b/tests/toydata/docs_groundtruth.jsonlines
@@ -0,0 +1,2 @@
+{"document": {"text": "a"}, "groundtruth": {"text": "b"}}
+{"document": {"text": "c"}, "groundtruth": {"text": "d"}}
diff --git a/tests/toydata/hello.wav b/tests/toydata/hello.wav
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diff --git a/tests/toydata/mov_bbb.mp4 b/tests/toydata/mov_bbb.mp4
new file mode 100644
index 0000000000000000000000000000000000000000..0a4dd5b4017139bbdb24fc28433c594ebfe2d435
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HcmV?d00001

diff --git a/tests/toydata/tetrahedron.mtl b/tests/toydata/tetrahedron.mtl
new file mode 100644
index 00000000000..1bccd4474e4
--- /dev/null
+++ b/tests/toydata/tetrahedron.mtl
@@ -0,0 +1,22 @@
+
+newmtl red
+Ka 0.4449 0.0000 0.0000
+Kd 0.7714 0.0000 0.0000
+Ks 0.8857 0.0000 0.0000
+illum 2
+Ns 136.4300
+
+newmtl lime
+Ka 0.0000 0.5000 0.0000
+Kd 0.0000 1.0000 0.0000
+Ks 0.0000 0.5000 0.0000
+illum 2
+Ns 65.8900
+
+newmtl gold
+Ka 0.5265 0.2735 0.0122
+Kd 1.0000 0.5184 0.0286
+Ks 0.3000 0.3000 0.3000
+illum 2
+Ns 123.2600
+
diff --git a/tests/toydata/tetrahedron.obj b/tests/toydata/tetrahedron.obj
new file mode 100644
index 00000000000..40347bad7b7
--- /dev/null
+++ b/tests/toydata/tetrahedron.obj
@@ -0,0 +1,20 @@
+# tetrahedron.obj 
+#
+ 
+mtllib tetrahedron.mtl
+
+g tetrahedron
+ 
+v 1.00 1.00 1.00
+v 2.00 1.00 1.00
+v 1.00 2.00 1.00
+v 1.00 1.00 2.00
+
+usemtl lime
+f 1 3 2
+usemtl gold
+f 1 4 3
+usemtl lime
+f 1 2 4
+usemtl red
+f 2 3 4
diff --git a/tests/units/typing/url/test_image_url.py b/tests/units/typing/url/test_image_url.py
index 37fcf525d23..fc01bcb26dd 100644
--- a/tests/units/typing/url/test_image_url.py
+++ b/tests/units/typing/url/test_image_url.py
@@ -1,11 +1,27 @@
+import os
+import urllib
+
 import numpy as np
+import pytest
 from pydantic.tools import parse_obj_as
 
 from docarray.typing import ImageUrl
 
+CUR_DIR = os.path.dirname(os.path.abspath(__file__))
+PATH_TO_IMAGE_DATA = os.path.join(CUR_DIR, '..', '..', '..', 'toydata', 'image-data')
+IMAGE_PATHS = {
+    'png': os.path.join(PATH_TO_IMAGE_DATA, 'so_good.png'),
+    'jpg': os.path.join(PATH_TO_IMAGE_DATA, '05984.jpg'),
+    'jpeg': os.path.join(PATH_TO_IMAGE_DATA, '05984-2.jpeg'),
+}
+REMOTE_JPG = (
+    'https://upload.wikimedia.org/wikipedia/commons/8/80/'
+    'Dag_Sebastian_Ahlander_at_G%C3%B6teborg_Book_Fair_2012b.jpg'
+)
+
 
 def test_image_url():
-    uri = parse_obj_as(ImageUrl, 'http://jina.ai/img.png')
+    uri = parse_obj_as(ImageUrl, REMOTE_JPG)
 
     tensor = uri.load()
 
@@ -14,6 +30,87 @@ def test_image_url():
 
 def test_proto_image_url():
 
-    uri = parse_obj_as(ImageUrl, 'http://jina.ai/img.png')
+    uri = parse_obj_as(ImageUrl, REMOTE_JPG)
 
     uri._to_node_protobuf()
+
+
+@pytest.mark.parametrize(
+    'image_format,path_to_img',
+    [
+        ('png', IMAGE_PATHS['png']),
+        ('jpg', IMAGE_PATHS['jpg']),
+        ('jpeg', IMAGE_PATHS['jpeg']),
+        ('remote-jpg', REMOTE_JPG),
+    ],
+)
+def test_load(image_format, path_to_img):
+    url = parse_obj_as(ImageUrl, path_to_img)
+    tensor = url.load()
+    assert isinstance(tensor, np.ndarray)
+
+
+@pytest.mark.parametrize(
+    'image_format,path_to_img',
+    [
+        ('png', IMAGE_PATHS['png']),
+        ('jpg', IMAGE_PATHS['jpg']),
+        ('jpeg', IMAGE_PATHS['jpeg']),
+        ('remote-jpg', REMOTE_JPG),
+    ],
+)
+@pytest.mark.parametrize('width,height', [(224, None), (None, 224), (224, 224)])
+def test_load_width_height(image_format, path_to_img, width, height):
+    url = parse_obj_as(ImageUrl, path_to_img)
+    tensor = url.load(width=width, height=height)
+    assert isinstance(tensor, np.ndarray)
+
+    shape = tensor.shape
+    if width:
+        assert shape[1] == width
+    if height:
+        assert shape[0] == height
+
+
+@pytest.mark.parametrize(
+    'image_format,path_to_img',
+    [
+        ('png', IMAGE_PATHS['png']),
+        ('jpg', IMAGE_PATHS['jpg']),
+        ('jpeg', IMAGE_PATHS['jpeg']),
+        ('remote-jpg', REMOTE_JPG),
+    ],
+)
+@pytest.mark.parametrize('channel_axis', [0, 1, 2, -1])
+def test_load_channel_axis(image_format, path_to_img, channel_axis):
+    url = parse_obj_as(ImageUrl, path_to_img)
+    tensor = url.load(channel_axis=channel_axis)
+    assert isinstance(tensor, np.ndarray)
+
+    shape = tensor.shape
+    assigned_channel_axis = 2 if channel_axis == -1 else channel_axis
+    assert shape[assigned_channel_axis] == 3
+
+
+def test_load_timeout():
+    url = parse_obj_as(ImageUrl, REMOTE_JPG)
+    with pytest.raises(urllib.error.URLError):
+        _ = url.load(timeout=0.001)
+
+
+@pytest.mark.parametrize(
+    'image_format,path_to_img',
+    [
+        ('png', IMAGE_PATHS['png']),
+        ('jpg', IMAGE_PATHS['jpg']),
+        ('jpeg', IMAGE_PATHS['jpeg']),
+        ('jpg', REMOTE_JPG),
+    ],
+)
+def test_load_to_bytes(image_format, path_to_img):
+    url = parse_obj_as(ImageUrl, path_to_img)
+    _bytes = url.load_to_bytes()
+    assert isinstance(_bytes, bytes)
+
+
+# TODO(johannes) test to_bytes more thoroughly

From d14d4afa169721bdb0ebc1d8072532f8bb9d674c Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Thu, 17 Nov 2022 18:19:32 +0100
Subject: [PATCH 13/22] feat: add new type for image urls

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/helper.py    | 37 --------------------------------
 docarray/typing/url/image_url.py |  4 ++--
 poetry.lock                      | 14 +++++++++++-
 pyproject.toml                   |  1 +
 4 files changed, 16 insertions(+), 40 deletions(-)

diff --git a/docarray/typing/url/helper.py b/docarray/typing/url/helper.py
index b68e9aa3196..31979c81828 100644
--- a/docarray/typing/url/helper.py
+++ b/docarray/typing/url/helper.py
@@ -32,43 +32,6 @@ def _get_file_context(file):
     return file_ctx
 
 
-def _to_datauri(
-    mimetype, data, charset: str = 'utf-8', base64: bool = False, binary: bool = True
-) -> str:
-    """
-    Convert data to data URI.
-
-    :param mimetype: MIME types (e.g. 'text/plain','image/png' etc.)
-    :param data: Data representations.
-    :param charset: Charset may be any character set registered with IANA
-    :param base64: Used to encode arbitrary octet sequences into a form that satisfies
-        the rules of 7bit. Designed to be efficient for non-text 8 bit and binary data.
-        Sometimes used for text data that frequently uses non-US-ASCII characters.
-    :param binary: True if from binary data False for other data (e.g. text)
-    :return: URI data
-    """
-    parts = ['data:', mimetype]
-    if charset is not None:
-        parts.extend([';charset=', charset])
-    if base64:
-        parts.append(';base64')
-        from base64 import encodebytes as encode64
-
-        if binary:
-            encoded_data = encode64(data).decode(charset).replace('\n', '').strip()
-        else:
-            encoded_data = encode64(data).strip()
-    else:
-        from urllib.parse import quote, quote_from_bytes
-
-        if binary:
-            encoded_data = quote_from_bytes(data)
-        else:
-            encoded_data = quote(data)
-    parts.extend([',', encoded_data])
-    return ''.join(parts)
-
-
 def _is_uri(value: str) -> bool:
     scheme = urllib.parse.urlparse(value).scheme
     return (
diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 8f32d53d19e..0bf1811d86e 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -153,8 +153,8 @@ def png_pack(png_tag, data):
 def _pillow_image_to_buffer(image, image_format: str) -> bytes:
     img_byte_arr = io.BytesIO()
     image.save(img_byte_arr, format=image_format)
-    img_byte_arr = img_byte_arr.getvalue()
-    return img_byte_arr
+    img_bytes = img_byte_arr.getvalue()
+    return img_bytes
 
 
 def _move_channel_axis(
diff --git a/poetry.lock b/poetry.lock
index a572d81659c..b5595a32ffa 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1381,6 +1381,14 @@ python-versions = ">=3.7"
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["pre-commit", "pytest"]
 
+[[package]]
+name = "types-pillow"
+version = "9.3.0.1"
+description = "Typing stubs for Pillow"
+category = "main"
+optional = false
+python-versions = "*"
+
 [[package]]
 name = "types-protobuf"
 version = "3.20.4.5"
@@ -1486,7 +1494,7 @@ torch = ["torch"]
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "41997bd5805db5d7cad13226d7f0867fad81fcb194ffc5b68ed1d77623f80f68"
+content-hash = "0201f4bdbde6e9967c2e3c780af1848d148b502f5d8ae098ffead54c2df3d6bc"
 
 [metadata.files]
 anyio = [
@@ -2434,6 +2442,10 @@ traitlets = [
     {file = "traitlets-5.5.0-py3-none-any.whl", hash = "sha256:1201b2c9f76097195989cdf7f65db9897593b0dfd69e4ac96016661bb6f0d30f"},
     {file = "traitlets-5.5.0.tar.gz", hash = "sha256:b122f9ff2f2f6c1709dab289a05555be011c87828e911c0cf4074b85cb780a79"},
 ]
+types-pillow = [
+    {file = "types-Pillow-9.3.0.1.tar.gz", hash = "sha256:f3b7cada3fa496c78d75253c6b1f07a843d625f42e5639b320a72acaff6f7cfb"},
+    {file = "types_Pillow-9.3.0.1-py3-none-any.whl", hash = "sha256:79837755fe9659f29efd1016e9903ac4a500e0c73260483f07296bd6ca47668b"},
+]
 types-protobuf = [
     {file = "types-protobuf-3.20.4.5.tar.gz", hash = "sha256:e9b45008d106e1d10cc77a29d2d344b85c0f01e2e643aaccf32f69e9e81b0cdd"},
     {file = "types_protobuf-3.20.4.5-py3-none-any.whl", hash = "sha256:97af5ce70d890fdb94cb0c906f5a6624ca2fef58bc04e27990a25509e992a950"},
diff --git a/pyproject.toml b/pyproject.toml
index e998519fe27..fc293d5e378 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -12,6 +12,7 @@ numpy = "^1.23.4"
 protobuf = { version = "^4.21.9", optional = true }
 torch = { version = "^1.0.0", optional = true }
 pillow = {version = "^9.3.0", extras = ["image"]}
+types-pillow = {version = "^9.3.0.1", extras = ["image"]}
 
 [tool.poetry.extras]
 common = ["protobuf"]

From 3b6d5b96ca3c4c1959795a3130d4bfd9d13ddc2c Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 13:40:17 +0100
Subject: [PATCH 14/22] test: add real existing url to test

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 tests/integrations/predefined_document/test_image.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/tests/integrations/predefined_document/test_image.py b/tests/integrations/predefined_document/test_image.py
index e1de2b020a0..f0e8cc50886 100644
--- a/tests/integrations/predefined_document/test_image.py
+++ b/tests/integrations/predefined_document/test_image.py
@@ -1,12 +1,16 @@
 import numpy as np
 
 from docarray import Image
-from docarray.typing import Tensor
+
+REMOTE_JPG = (
+    'https://upload.wikimedia.org/wikipedia/commons/8/80/'
+    'Dag_Sebastian_Ahlander_at_G%C3%B6teborg_Book_Fair_2012b.jpg'
+)
 
 
 def test_image():
 
-    image = Image(uri='http://jina.ai')
+    image = Image(uri=REMOTE_JPG)
 
     image.tensor = image.uri.load()
 

From ba8adf0901e14082953dcc3e926031bac509894e Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 16:46:40 +0100
Subject: [PATCH 15/22] test: test output of image buffer loading

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/image_url.py         | 7 +++++--
 tests/units/typing/url/test_image_url.py | 9 +++++----
 2 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 0bf1811d86e..4fca3ebbb1b 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,6 +1,6 @@
 import io
 import struct
-from typing import Optional, Union
+from typing import TYPE_CHECKING, Optional, Union
 
 import numpy as np
 
@@ -8,6 +8,9 @@
 from docarray.typing.url.any_url import AnyUrl
 from docarray.typing.url.helper import _uri_to_blob
 
+if TYPE_CHECKING:
+    import PIL
+
 IMAGE_FILE_FORMATS = ('png', 'jpeg', 'jpg')
 
 
@@ -150,7 +153,7 @@ def png_pack(png_tag, data):
     return png_bytes
 
 
-def _pillow_image_to_buffer(image, image_format: str) -> bytes:
+def _pillow_image_to_buffer(image: 'PIL.Image.Image', image_format: str) -> bytes:
     img_byte_arr = io.BytesIO()
     image.save(img_byte_arr, format=image_format)
     img_bytes = img_byte_arr.getvalue()
diff --git a/tests/units/typing/url/test_image_url.py b/tests/units/typing/url/test_image_url.py
index fc01bcb26dd..11ff261fb9f 100644
--- a/tests/units/typing/url/test_image_url.py
+++ b/tests/units/typing/url/test_image_url.py
@@ -2,6 +2,7 @@
 import urllib
 
 import numpy as np
+import PIL
 import pytest
 from pydantic.tools import parse_obj_as
 
@@ -108,9 +109,9 @@ def test_load_timeout():
     ],
 )
 def test_load_to_bytes(image_format, path_to_img):
+    w, h = 224, 224
     url = parse_obj_as(ImageUrl, path_to_img)
-    _bytes = url.load_to_bytes()
+    _bytes = url.load_to_bytes(width=w, height=h)
     assert isinstance(_bytes, bytes)
-
-
-# TODO(johannes) test to_bytes more thoroughly
+    img = PIL.Image.frombytes(mode='1', size=(w, h), data=_bytes)
+    assert isinstance(img, PIL.Image.Image)

From 75a440cb23b1fdfda8ce917c4d5c0d44f0fb9108 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 17:11:16 +0100
Subject: [PATCH 16/22] feat: add validation for image url

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/image_url.py         | 23 +++++++++++++++++++++--
 tests/units/typing/url/test_image_url.py | 22 ++++++++++++++++++++++
 2 files changed, 43 insertions(+), 2 deletions(-)

diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 4fca3ebbb1b..98f74c9e76b 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,6 +1,6 @@
 import io
 import struct
-from typing import TYPE_CHECKING, Optional, Union
+from typing import TYPE_CHECKING, Any, Optional, Type, TypeVar, Union
 
 import numpy as np
 
@@ -10,6 +10,10 @@
 
 if TYPE_CHECKING:
     import PIL
+    from pydantic import BaseConfig
+    from pydantic.fields import ModelField
+
+T = TypeVar('T', bound='ImageUrl')
 
 IMAGE_FILE_FORMATS = ('png', 'jpeg', 'jpg')
 
@@ -24,7 +28,22 @@ def _to_node_protobuf(self) -> NodeProto:
         """
         return NodeProto(image_url=str(self))
 
-    # TODO(johannes) add validation for image URI
+    @classmethod
+    def validate(
+        cls: Type[T],
+        value: Union[T, np.ndarray, Any],
+        field: 'ModelField',
+        config: 'BaseConfig',
+    ) -> T:
+
+        url = super().validate(value, field, config)  # basic url validation
+        has_image_extension = any(url.endswith(ext) for ext in IMAGE_FILE_FORMATS)
+        if not has_image_extension:
+            raise ValueError(
+                f'Image URL must have one of the following extensions:'
+                f'{IMAGE_FILE_FORMATS}'
+            )
+        return cls(str(url), scheme=None)
 
     def load(
         self,
diff --git a/tests/units/typing/url/test_image_url.py b/tests/units/typing/url/test_image_url.py
index 11ff261fb9f..398bda3b406 100644
--- a/tests/units/typing/url/test_image_url.py
+++ b/tests/units/typing/url/test_image_url.py
@@ -115,3 +115,25 @@ def test_load_to_bytes(image_format, path_to_img):
     assert isinstance(_bytes, bytes)
     img = PIL.Image.frombytes(mode='1', size=(w, h), data=_bytes)
     assert isinstance(img, PIL.Image.Image)
+
+
+@pytest.mark.parametrize(
+    'image_format,path_to_img',
+    [
+        ('png', IMAGE_PATHS['png']),
+        ('jpg', IMAGE_PATHS['jpg']),
+        ('jpeg', IMAGE_PATHS['jpeg']),
+        ('jpg', REMOTE_JPG),
+        ('illegal', 'illegal'),
+        ('illegal', 'https://www.google.com'),
+        ('illegal', 'my/local/text/file.txt'),
+    ],
+)
+def test_validation(image_format, path_to_img):
+    if image_format == 'illegal':
+        with pytest.raises(ValueError):
+            parse_obj_as(ImageUrl, path_to_img)
+    else:
+        url = parse_obj_as(ImageUrl, path_to_img)
+        assert isinstance(url, ImageUrl)
+        assert isinstance(url, str)

From 5b90769396f93157a8d57c0aff60fa79f2c58ba0 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 19:22:22 +0100
Subject: [PATCH 17/22] feat: specify image axis permutation

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/image_url.py         | 26 +++++++++---------------
 tests/units/typing/url/test_image_url.py | 21 ++++++++++++++-----
 2 files changed, 26 insertions(+), 21 deletions(-)

diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 98f74c9e76b..08c4ee53f4a 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -1,6 +1,6 @@
 import io
 import struct
-from typing import TYPE_CHECKING, Any, Optional, Type, TypeVar, Union
+from typing import TYPE_CHECKING, Any, Optional, Tuple, Type, TypeVar, Union
 
 import numpy as np
 
@@ -49,7 +49,7 @@ def load(
         self,
         width: Optional[int] = None,
         height: Optional[int] = None,
-        channel_axis: int = -1,
+        axis_layout: Tuple[str, str, str] = ('H', 'W', 'C'),
         timeout: Optional[float] = None,
     ) -> np.ndarray:
         """
@@ -57,19 +57,16 @@ def load(
 
         :param width: width of the image tensor.
         :param height: height of the image tensor.
-        :param channel_axis: axis where to put the image color channel;
-            ``-1`` indicates the color channel info at the last axis
+        :param axis_layout: ordering of the different image axes.
+            'H' = height, 'W' = width, 'C' = color channel
         :param timeout: timeout (sec) for urlopen network request.
             Only relevant if URL is not local
         :return: np.ndarray representing the image as RGB values
         """
-        # TODO(johannes) the axis argument is confusing, because it if it is not -1,
-        #  it is unclear where width and height end up
-        # instead we should allow the user to pass an axis for width, height, and axis
 
         buffer = _uri_to_blob(self, timeout=timeout)
         tensor = _to_image_tensor(io.BytesIO(buffer), width=width, height=height)
-        return _move_channel_axis(tensor, target_channel_axis=channel_axis)
+        return _move_channel_axis(tensor, axis_layout=axis_layout)
 
     def load_to_bytes(
         self,
@@ -88,10 +85,7 @@ def load_to_bytes(
             Only relevant if URL is not local
         :return: The image as bytes (buffer).
         """
-        channel_axis = -1
-        image_tensor = self.load(
-            width=width, height=height, channel_axis=channel_axis, timeout=timeout
-        )
+        image_tensor = self.load(width=width, height=height, timeout=timeout)
         return _image_tensor_to_bytes(image_tensor, image_format=image_format)
 
 
@@ -180,12 +174,12 @@ def _pillow_image_to_buffer(image: 'PIL.Image.Image', image_format: str) -> byte
 
 
 def _move_channel_axis(
-    tensor: np.ndarray, original_channel_axis: int = -1, target_channel_axis: int = -1
+    tensor: np.ndarray, axis_layout: Tuple[str, str, str] = ('H', 'W', 'C')
 ) -> np.ndarray:
     """Moves channel axis around."""
-    if original_channel_axis != target_channel_axis:
-        tensor = np.moveaxis(tensor, original_channel_axis, target_channel_axis)
-    return tensor
+    channel_to_offset = {'H': 0, 'W': 1, 'C': 2}
+    permutation = tuple(channel_to_offset[axis] for axis in axis_layout)
+    return np.transpose(tensor, permutation)
 
 
 def _to_image_tensor(
diff --git a/tests/units/typing/url/test_image_url.py b/tests/units/typing/url/test_image_url.py
index 398bda3b406..22280398358 100644
--- a/tests/units/typing/url/test_image_url.py
+++ b/tests/units/typing/url/test_image_url.py
@@ -82,15 +82,26 @@ def test_load_width_height(image_format, path_to_img, width, height):
         ('remote-jpg', REMOTE_JPG),
     ],
 )
-@pytest.mark.parametrize('channel_axis', [0, 1, 2, -1])
-def test_load_channel_axis(image_format, path_to_img, channel_axis):
+@pytest.mark.parametrize(
+    'axis_layout',
+    [
+        ('H', 'W', 'C'),
+        ('H', 'C', 'W'),
+        ('C', 'H', 'W'),
+        ('C', 'W', 'H'),
+        ('W', 'C', 'H'),
+        ('W', 'H', 'C'),
+    ],
+)
+def test_load_channel_axis(image_format, path_to_img, axis_layout):
+    sizes = {'H': 100, 'W': 200, 'C': 3}
     url = parse_obj_as(ImageUrl, path_to_img)
-    tensor = url.load(channel_axis=channel_axis)
+    tensor = url.load(axis_layout=axis_layout, height=sizes['H'], width=sizes['W'])
     assert isinstance(tensor, np.ndarray)
 
     shape = tensor.shape
-    assigned_channel_axis = 2 if channel_axis == -1 else channel_axis
-    assert shape[assigned_channel_axis] == 3
+    for axis, axis_name in enumerate(axis_layout):
+        assert shape[axis] == sizes[axis_name]
 
 
 def test_load_timeout():

From 289ee15fd9dfe612ab61fbd202590b41ff5a3dc7 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 19:40:27 +0100
Subject: [PATCH 18/22] docs: add docstrings

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/image_url.py | 55 ++++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)

diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 08c4ee53f4a..45b567cb563 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -19,6 +19,11 @@
 
 
 class ImageUrl(AnyUrl):
+    """ "
+    URL to a .png, .jpeg, or .jpg file.
+    Cane be remote (web) URL, or a local file path.
+    """
+
     def _to_node_protobuf(self) -> NodeProto:
         """Convert Document into a NodeProto protobuf message. This function should
         be called when the Document is nested into another Document that need to
@@ -55,6 +60,35 @@ def load(
         """
         Load the data from the url into a numpy.ndarray image tensor
 
+        EXAMPLE USAGE
+
+        .. code-block:: python
+
+            from docarray import Document
+            from docarray.typing import ImageUrl
+            import numpy as np
+
+
+            class MyDoc(Document):
+                img_url: ImageUrl
+
+
+            doc = MyDoc(
+                img_url="https://upload.wikimedia.org/wikipedia/commons/8/80/"
+                "Dag_Sebastian_Ahlander_at_G%C3%B6teborg_Book_Fair_2012b.jpg"
+            )
+
+            img_tensor = doc.img_url.load()
+            assert isinstance(img_tensor, np.ndarray)
+
+            img_tensor = doc.img_url.load(height=224, width=224)
+            assert img_tensor.shape == (224, 224, 3)
+
+            layout = ("C", "W", "H")
+            img_tensor = doc.img_url.load(height=100, width=200, axis_layout=layout)
+            assert img_tensor.shape == (3, 200, 100)
+
+
         :param width: width of the image tensor.
         :param height: height of the image tensor.
         :param axis_layout: ordering of the different image axes.
@@ -77,6 +111,27 @@ def load_to_bytes(
     ) -> bytes:
         """Load image at URL to bytes (buffer).
 
+        EXAMPLE USAGE
+
+        .. code-block:: python
+
+            from docarray import Document
+            from docarray.typing import ImageUrl
+            import numpy as np
+
+
+            class MyDoc(Document):
+                img_url: ImageUrl
+
+
+            doc = MyDoc(
+                img_url="https://upload.wikimedia.org/wikipedia/commons/8/80/"
+                "Dag_Sebastian_Ahlander_at_G%C3%B6teborg_Book_Fair_2012b.jpg"
+            )
+
+            img_tensor = doc.img_url.load_to_bytes(image_format='jpg')
+            assert isinstance(img_tensor, bytes)
+
         :param image_format: File format of the file located the the url.
             Supported formats are `png`, `jpg`, and `jpeg`.
         :param width: Before converting to bytes, resize the image to this width.

From f8a81295e2d4a45d9f7875bf775726fcac6ca719 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 19:41:33 +0100
Subject: [PATCH 19/22] docs: make strings uniform

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 docarray/typing/url/image_url.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docarray/typing/url/image_url.py b/docarray/typing/url/image_url.py
index 45b567cb563..161fa5ecf0f 100644
--- a/docarray/typing/url/image_url.py
+++ b/docarray/typing/url/image_url.py
@@ -84,7 +84,7 @@ class MyDoc(Document):
             img_tensor = doc.img_url.load(height=224, width=224)
             assert img_tensor.shape == (224, 224, 3)
 
-            layout = ("C", "W", "H")
+            layout = ('C', 'W', 'H')
             img_tensor = doc.img_url.load(height=100, width=200, axis_layout=layout)
             assert img_tensor.shape == (3, 200, 100)
 

From 4512286a0f0c523cf635f752014c19497847eea0 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Fri, 18 Nov 2022 19:45:39 +0100
Subject: [PATCH 20/22] test: pass valid url as imageurl

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 tests/integrations/typing/test_typing_proto.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/integrations/typing/test_typing_proto.py b/tests/integrations/typing/test_typing_proto.py
index d95a1bfaf36..4b93ee01eff 100644
--- a/tests/integrations/typing/test_typing_proto.py
+++ b/tests/integrations/typing/test_typing_proto.py
@@ -19,7 +19,7 @@ class Mymmdoc(Document):
         torch_tensor=torch.zeros((3, 224, 224)),
         embedding=np.zeros((100, 1)),
         any_url='http://jina.ai',
-        image_url='http://jina.ai',
+        image_url='http://jina.ai/bla.jpg',
     )
 
     new_doc = AnyDocument.from_protobuf(doc.to_protobuf())

From d9cbef6753ffedbb2e8cb65efe80a50fa14707c6 Mon Sep 17 00:00:00 2001
From: Johannes Messner <messnerjo@gmail.com>
Date: Mon, 21 Nov 2022 11:54:36 +0100
Subject: [PATCH 21/22] chore: fix dependencies

Signed-off-by: Johannes Messner <messnerjo@gmail.com>
---
 poetry.lock    | 7 ++++---
 pyproject.toml | 5 +++--
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index b5595a32ffa..c1f4138a6cc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -951,7 +951,7 @@ name = "pillow"
 version = "9.3.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.7"
 
 [package.extras]
@@ -1386,7 +1386,7 @@ name = "types-pillow"
 version = "9.3.0.1"
 description = "Typing stubs for Pillow"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -1489,12 +1489,13 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
 
 [extras]
 common = ["protobuf"]
+image = ["pillow", "types-pillow"]
 torch = ["torch"]
 
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "0201f4bdbde6e9967c2e3c780af1848d148b502f5d8ae098ffead54c2df3d6bc"
+content-hash = "7fabdc150fb15e67a5eff53967ccf3846e464d78544b12784953635d2866a64a"
 
 [metadata.files]
 anyio = [
diff --git a/pyproject.toml b/pyproject.toml
index fc293d5e378..22f2edcbeb4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,12 +11,13 @@ pydantic = "^1.10.2"
 numpy = "^1.23.4"
 protobuf = { version = "^4.21.9", optional = true }
 torch = { version = "^1.0.0", optional = true }
-pillow = {version = "^9.3.0", extras = ["image"]}
-types-pillow = {version = "^9.3.0.1", extras = ["image"]}
+pillow = {version = "^9.3.0", optional = true }
+types-pillow = {version = "^9.3.0.1", optional = true }
 
 [tool.poetry.extras]
 common = ["protobuf"]
 torch = ["torch"]
+image = ["pillow", "types-pillow"]
 
 [tool.poetry.dev-dependencies]
 pytest = "^5.2"

From ec6ac68dd59799ff935f611afceeb5317cee7b1d Mon Sep 17 00:00:00 2001
From: Sami Jaghouar <sami.jaghouar@hotmail.fr>
Date: Mon, 21 Nov 2022 13:54:03 +0100
Subject: [PATCH 22/22] chore(ci): add extras to mypy ci

Signed-off-by: Sami Jaghouar <sami.jaghouar@hotmail.fr>
---
 .github/workflows/ci.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 82d991947f7..7e14491a2d6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -75,7 +75,7 @@ jobs:
         run: |
           python -m pip install --upgrade pip
           python -m pip install poetry
-          poetry install  
+          poetry install --all-extras
           poetry run mypy docarray
 
 #  prep-testbed: