onnx
diff --git a/‎src/onnx_ir/_core.py‎
Lines changed: 101 additions & 14 deletions b/‎src/onnx_ir/_core.py‎
Lines changed: 101 additions & 14 deletions
@@ -185,6 +185,19 @@ def meta(self) -> _metadata.MetadataStore:
             self._metadata = _metadata.MetadataStore()
         return self._metadata
 
+    def tofile(self, file) -> None:
+        """Write the tensor to a binary file.
+
+        This method writes the raw bytes of the tensor to a file-like object.
+        The file-like object must have a ``write`` method that accepts bytes.
+
+        .. versionadded:: 0.1.11
+
+        Args:
+            file: A file-like object with a ``write`` method that accepts bytes.
+        """
+        file.write(self.tobytes())
+
     def display(self, *, page: bool = False) -> None:
         rich = _display.require_rich()
 
@@ -337,6 +350,38 @@ def _maybe_view_np_array_with_ml_dtypes(
     return array
 
 
+def _supports_fileno(file: Any) -> bool:
+    """Check if the file-like object supports fileno()."""
+    if not hasattr(file, "fileno"):
+        return False
+    try:
+        file.fileno()
+    except Exception:  # pylint: disable=broad-except
+        return False
+    return True
+
+
+def _create_np_array_for_byte_representation(tensor: Tensor) -> np.ndarray:
+    """Create a numpy array for the byte representation of the tensor.
+
+    This function is used for serializing the tensor to bytes. It handles the
+    special cases for 4-bit data types and endianness.
+    """
+    array = tensor.numpy()
+    if tensor.dtype in {
+        _enums.DataType.INT4,
+        _enums.DataType.UINT4,
+        _enums.DataType.FLOAT4E2M1,
+    }:
+        # Pack the array into int4
+        array = _type_casting.pack_4bitx2(array)
+    else:
+        assert tensor.dtype.itemsize == array.itemsize, "Bug: The itemsize should match"
+    if not _IS_LITTLE_ENDIAN:
+        array = array.astype(array.dtype.newbyteorder("<"))
+    return array
+
+
 class Tensor(TensorBase, _protocols.TensorProtocol, Generic[TArrayCompatible]):  # pylint: disable=too-many-ancestors
     """An immutable concrete tensor.
 
@@ -509,20 +554,24 @@ def tobytes(self) -> bytes:
         value is not a numpy array.
         """
         # TODO(justinchuby): Support DLPack
-        array = self.numpy()
-        if self.dtype in {
-            _enums.DataType.INT4,
-            _enums.DataType.UINT4,
-            _enums.DataType.FLOAT4E2M1,
-        }:
-            # Pack the array into int4
-            array = _type_casting.pack_4bitx2(array)
-        else:
-            assert self.dtype.itemsize == array.itemsize, "Bug: The itemsize should match"
-        if not _IS_LITTLE_ENDIAN:
-            array = array.astype(array.dtype.newbyteorder("<"))
+        array = _create_np_array_for_byte_representation(self)
         return array.tobytes()
 
+    def tofile(self, file) -> None:
+        """Write the tensor to a binary file.
+
+        .. versionadded:: 0.1.11
+
+        Args:
+            file: A file-like object with a ``write`` method that accepts bytes, or has an ``fileno()`` method.
+        """
+        if isinstance(self._raw, np.ndarray) and _supports_fileno(file):
+            # This is a duplication of tobytes() for handling special cases
+            array = _create_np_array_for_byte_representation(self)
+            array.tofile(file)
+        else:
+            file.write(self.tobytes())
+
 
 class ExternalTensor(TensorBase, _protocols.TensorProtocol):  # pylint: disable=too-many-ancestors
     """An immutable concrete tensor with its data store on disk.
@@ -535,7 +584,7 @@ class ExternalTensor(TensorBase, _protocols.TensorProtocol):  # pylint: disable=
     the tensor is recommended if IO overhead and memory usage is a concern.
 
     To obtain an array, call :meth:`numpy`. To obtain the bytes,
-    call :meth:`tobytes`.
+    call :meth:`tobytes`. To write the data to a file, call :meth:`tofile`.
 
     The :attr:`location` must be a relative path conforming to the ONNX
     specification. Given the correct :attr:`base_dir`, the :attr:`path` is computed
@@ -590,7 +639,7 @@ def __init__(
             length: The length of the data in bytes.
             dtype: The data type of the tensor.
             shape: The shape of the tensor.
-            name: The name of the tensor..
+            name: The name of the tensor.
             doc_string: The documentation string.
             metadata_props: The metadata properties.
             base_dir: The base directory for the external data. It is used to resolve relative paths.
@@ -746,6 +795,18 @@ def tobytes(self) -> bytes:
         length = self._length or self.nbytes
         return self.raw[offset : offset + length]
 
+    def tofile(self, file) -> None:
+        self._check_validity()
+        with open(self.path, "rb") as src:
+            if self._offset is not None:
+                src.seek(self._offset)
+            bytes_to_copy = self._length or self.nbytes
+            chunk_size = 1024 * 1024  # 1MB
+            while bytes_to_copy > 0:
+                chunk = src.read(min(chunk_size, bytes_to_copy))
+                file.write(chunk)
+                bytes_to_copy -= len(chunk)
+
     def valid(self) -> bool:
         """Check if the tensor is valid.
 
@@ -979,6 +1040,15 @@ def tobytes(self) -> bytes:
         """Return the bytes of the tensor."""
         return self._evaluate().tobytes()
 
+    def tofile(self, file) -> None:
+        tensor = self._evaluate()
+        if hasattr(tensor, "tofile"):
+            # Some existing implementation of TensorProtocol
+            # may not have tofile() as it was introduced in v0.1.11
+            tensor.tofile(file)
+        else:
+            super().tofile(file)
+
 
 class PackedTensor(TensorBase, _protocols.TensorProtocol, Generic[TArrayCompatible]):  # pylint: disable=too-many-ancestors
     """A tensor that stores 4bit datatypes in packed format.
@@ -1113,6 +1183,23 @@ def tobytes(self) -> bytes:
             array = array.astype(array.dtype.newbyteorder("<"))
         return array.tobytes()
 
+    def tofile(self, file) -> None:
+        """Write the tensor to a binary file.
+
+        .. versionadded:: 0.1.11
+
+        Args:
+            file: A file-like object with a ``write`` method that accepts bytes, or has an ``fileno()`` method.
+        """
+        if _supports_fileno(file):
+            # This is a duplication of tobytes() for handling edge cases
+            array = self.numpy_packed()
+            if not _IS_LITTLE_ENDIAN:
+                array = array.astype(array.dtype.newbyteorder("<"))
+            array.tofile(file)
+        else:
+            file.write(self.tobytes())
+
 
 class SymbolicDim(_protocols.SymbolicDimProtocol, _display.PrettyPrintable):
     """Immutable symbolic dimension that can be shared across multiple shapes.