diff --git a/docs/tensor/elementwise.md b/docs/tensor/elementwise.md
new file mode 100644
index 0000000000..0157f675c4
--- /dev/null
+++ b/docs/tensor/elementwise.md
@@ -0,0 +1,72 @@
+Elementwise ops operate on a per element basis. They don't change the shape of the tensor.
+
+## Unary Ops (math)
+
+::: tinygrad.Tensor.logical_not
+::: tinygrad.Tensor.neg
+::: tinygrad.Tensor.log
+::: tinygrad.Tensor.log2
+::: tinygrad.Tensor.exp
+::: tinygrad.Tensor.exp2
+::: tinygrad.Tensor.sqrt
+::: tinygrad.Tensor.rsqrt
+::: tinygrad.Tensor.sin
+::: tinygrad.Tensor.cos
+::: tinygrad.Tensor.tan
+::: tinygrad.Tensor.trunc
+::: tinygrad.Tensor.ceil
+::: tinygrad.Tensor.floor
+::: tinygrad.Tensor.round
+::: tinygrad.Tensor.lerp
+::: tinygrad.Tensor.square
+::: tinygrad.Tensor.clip
+::: tinygrad.Tensor.sign
+::: tinygrad.Tensor.abs
+::: tinygrad.Tensor.reciprocal
+
+## Unary Ops (activation)
+
+::: tinygrad.Tensor.relu
+::: tinygrad.Tensor.sigmoid
+::: tinygrad.Tensor.elu
+::: tinygrad.Tensor.celu
+::: tinygrad.Tensor.swish
+::: tinygrad.Tensor.silu
+::: tinygrad.Tensor.relu6
+::: tinygrad.Tensor.hardswish
+::: tinygrad.Tensor.tanh
+::: tinygrad.Tensor.sinh
+::: tinygrad.Tensor.cosh
+::: tinygrad.Tensor.atanh
+::: tinygrad.Tensor.asinh
+::: tinygrad.Tensor.acosh
+::: tinygrad.Tensor.hardtanh
+::: tinygrad.Tensor.gelu
+::: tinygrad.Tensor.quick_gelu
+::: tinygrad.Tensor.leakyrelu
+::: tinygrad.Tensor.mish
+::: tinygrad.Tensor.softplus
+::: tinygrad.Tensor.softsign
+
+## Elementwise Ops (broadcasted)
+
+::: tinygrad.Tensor.add
+::: tinygrad.Tensor.sub
+::: tinygrad.Tensor.mul
+::: tinygrad.Tensor.div
+::: tinygrad.Tensor.xor
+::: tinygrad.Tensor.lshift
+::: tinygrad.Tensor.rshift
+::: tinygrad.Tensor.pow
+::: tinygrad.Tensor.maximum
+::: tinygrad.Tensor.minimum
+::: tinygrad.Tensor.where
+
+## Casting Ops
+
+::: tinygrad.Tensor.cast
+::: tinygrad.Tensor.bitcast
+::: tinygrad.Tensor.float
+::: tinygrad.Tensor.half
+::: tinygrad.Tensor.int
+::: tinygrad.Tensor.bool
\ No newline at end of file
diff --git a/docs/tensor/index.md b/docs/tensor/index.md
index 825faf538a..47172579c5 100644
--- a/docs/tensor/index.md
+++ b/docs/tensor/index.md
@@ -5,32 +5,3 @@
         heading_level: 2
         members: false
         show_source: false
-
-## Properties
-
-::: tinygrad.Tensor.shape
-::: tinygrad.Tensor.dtype
-::: tinygrad.Tensor.device
-
-## Data Access
-
-::: tinygrad.Tensor.data
-::: tinygrad.Tensor.item
-::: tinygrad.Tensor.tolist
-::: tinygrad.Tensor.numpy
-
-## tinygrad ops
-
-::: tinygrad.Tensor.schedule_with_vars
-::: tinygrad.Tensor.schedule
-::: tinygrad.Tensor.realize
-::: tinygrad.Tensor.replace
-::: tinygrad.Tensor.assign
-::: tinygrad.Tensor.detach
-::: tinygrad.Tensor.to
-::: tinygrad.Tensor.to_
-::: tinygrad.Tensor.shard
-::: tinygrad.Tensor.shard_
-::: tinygrad.Tensor.contiguous
-::: tinygrad.Tensor.contiguous_backward
-::: tinygrad.Tensor.backward
diff --git a/docs/tensor/ops.md b/docs/tensor/ops.md
index 4e1e2a051b..f237503494 100644
--- a/docs/tensor/ops.md
+++ b/docs/tensor/ops.md
@@ -1,4 +1,4 @@
-## Reduce Ops
+## Reduce
 
 ::: tinygrad.Tensor.sum
 ::: tinygrad.Tensor.max
@@ -14,7 +14,7 @@
 ::: tinygrad.Tensor.argmax
 ::: tinygrad.Tensor.argmin
 
-## Processing Ops
+## Processing
 
 ::: tinygrad.Tensor.avg_pool2d
 ::: tinygrad.Tensor.max_pool2d
@@ -28,69 +28,7 @@
 ::: tinygrad.Tensor.tril
 ::: tinygrad.Tensor.interpolate
 
-## Unary Ops (math)
-
-::: tinygrad.Tensor.logical_not
-::: tinygrad.Tensor.neg
-::: tinygrad.Tensor.log
-::: tinygrad.Tensor.log2
-::: tinygrad.Tensor.exp
-::: tinygrad.Tensor.exp2
-::: tinygrad.Tensor.sqrt
-::: tinygrad.Tensor.rsqrt
-::: tinygrad.Tensor.sin
-::: tinygrad.Tensor.cos
-::: tinygrad.Tensor.tan
-::: tinygrad.Tensor.trunc
-::: tinygrad.Tensor.ceil
-::: tinygrad.Tensor.floor
-::: tinygrad.Tensor.round
-::: tinygrad.Tensor.lerp
-::: tinygrad.Tensor.square
-::: tinygrad.Tensor.clip
-::: tinygrad.Tensor.sign
-::: tinygrad.Tensor.abs
-::: tinygrad.Tensor.reciprocal
-
-## Unary Ops (activation)
-
-::: tinygrad.Tensor.relu
-::: tinygrad.Tensor.sigmoid
-::: tinygrad.Tensor.elu
-::: tinygrad.Tensor.celu
-::: tinygrad.Tensor.swish
-::: tinygrad.Tensor.silu
-::: tinygrad.Tensor.relu6
-::: tinygrad.Tensor.hardswish
-::: tinygrad.Tensor.tanh
-::: tinygrad.Tensor.sinh
-::: tinygrad.Tensor.cosh
-::: tinygrad.Tensor.atanh
-::: tinygrad.Tensor.asinh
-::: tinygrad.Tensor.acosh
-::: tinygrad.Tensor.hardtanh
-::: tinygrad.Tensor.gelu
-::: tinygrad.Tensor.quick_gelu
-::: tinygrad.Tensor.leakyrelu
-::: tinygrad.Tensor.mish
-::: tinygrad.Tensor.softplus
-::: tinygrad.Tensor.softsign
-
-## Elementwise Ops (broadcasted)
-
-::: tinygrad.Tensor.add
-::: tinygrad.Tensor.sub
-::: tinygrad.Tensor.mul
-::: tinygrad.Tensor.div
-::: tinygrad.Tensor.xor
-::: tinygrad.Tensor.lshift
-::: tinygrad.Tensor.rshift
-::: tinygrad.Tensor.pow
-::: tinygrad.Tensor.maximum
-::: tinygrad.Tensor.minimum
-::: tinygrad.Tensor.where
-
-## Neural Network Ops (functional)
+## Neural Network (functional)
 
 ::: tinygrad.Tensor.linear
 ::: tinygrad.Tensor.sequential
@@ -102,21 +40,3 @@
 ::: tinygrad.Tensor.binary_crossentropy
 ::: tinygrad.Tensor.binary_crossentropy_logits
 ::: tinygrad.Tensor.sparse_categorical_crossentropy
-
-## Casting Ops
-
-::: tinygrad.Tensor.cast
-::: tinygrad.Tensor.bitcast
-::: tinygrad.Tensor.float
-::: tinygrad.Tensor.half
-::: tinygrad.Tensor.int
-::: tinygrad.Tensor.bool
-
-## Tensor Properties
-
-::: tinygrad.Tensor.ndim
-::: tinygrad.Tensor.numel
-::: tinygrad.Tensor.element_size
-::: tinygrad.Tensor.nbytes
-::: tinygrad.Tensor.is_floating_point
-::: tinygrad.Tensor.size
diff --git a/docs/tensor/properties.md b/docs/tensor/properties.md
new file mode 100644
index 0000000000..f30ac2968d
--- /dev/null
+++ b/docs/tensor/properties.md
@@ -0,0 +1,34 @@
+## Basic
+
+::: tinygrad.Tensor.shape
+::: tinygrad.Tensor.dtype
+::: tinygrad.Tensor.device
+::: tinygrad.Tensor.ndim
+::: tinygrad.Tensor.numel
+::: tinygrad.Tensor.element_size
+::: tinygrad.Tensor.nbytes
+::: tinygrad.Tensor.is_floating_point
+::: tinygrad.Tensor.size
+
+## Data Access
+
+::: tinygrad.Tensor.data
+::: tinygrad.Tensor.item
+::: tinygrad.Tensor.tolist
+::: tinygrad.Tensor.numpy
+
+## tinygrad ops
+
+::: tinygrad.Tensor.schedule_with_vars
+::: tinygrad.Tensor.schedule
+::: tinygrad.Tensor.realize
+::: tinygrad.Tensor.replace
+::: tinygrad.Tensor.assign
+::: tinygrad.Tensor.detach
+::: tinygrad.Tensor.to
+::: tinygrad.Tensor.to_
+::: tinygrad.Tensor.shard
+::: tinygrad.Tensor.shard_
+::: tinygrad.Tensor.contiguous
+::: tinygrad.Tensor.contiguous_backward
+::: tinygrad.Tensor.backward
diff --git a/mkdocs.yml b/mkdocs.yml
index 433cbad7d4..23a5828ebf 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -11,9 +11,11 @@ nav:
   - API Reference:
     - Tensor:
       - tensor/index.md
+      - Properties: tensor/properties.md
       - Creation: tensor/creation.md
       - Movement: tensor/movement.md
-      - Ops: tensor/ops.md
+      - Elementwise: tensor/elementwise.md
+      - Complex Ops: tensor/ops.md
     - dtypes: dtypes.md
     - nn (Neural Networks): nn.md
     - Environment Variables: env_vars.md
diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 68bc79f5ad..7d7be09f75 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -2956,18 +2956,10 @@ class Tensor:
     """
     Returns the number of dimensions in the tensor.
 
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([9])
-    print(t.ndim)
-    ```
     ```python exec="true" source="above" session="tensor" result="python"
     t = Tensor([[1, 2], [3, 4]])
     print(t.ndim)
     ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
-    print(t.ndim)
-    ```
     """
     return len(self.shape)
 
@@ -2975,14 +2967,6 @@ class Tensor:
     """
     Returns the total number of elements in the tensor.
 
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([9])
-    print(t.numel())
-    ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([[1, 2], [3, 4]])
-    print(t.numel())
-    ```
     ```python exec="true" source="above" session="tensor" result="python"
     t = Tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
     print(t.numel())
@@ -2994,18 +2978,10 @@ class Tensor:
     """
     Returns the size in bytes of an individual element in the tensor.
 
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([True], dtype=dtypes.bool)
-    print(t.element_size())
-    ```
     ```python exec="true" source="above" session="tensor" result="python"
     t = Tensor([5], dtype=dtypes.int16)
     print(t.element_size())
     ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([5.5], dtype=dtypes.float64)
-    print(t.element_size())
-    ```
     """
     return self.dtype.itemsize
 
@@ -3014,15 +2990,7 @@ class Tensor:
     Returns the total number of bytes of all elements in the tensor.
 
     ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8, 9], dtype=dtypes.int16)
-    print(t.nbytes())
-    ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8, 9, 10, 11], dtype=dtypes.int16)
-    print(t.nbytes())
-    ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8, 9], dtype=dtypes.float64)
+    t = Tensor([8, 9], dtype=dtypes.float)
     print(t.nbytes())
     ```
     """
@@ -3033,22 +3001,10 @@ class Tensor:
     Returns `True` if the tensor contains floating point types, i.e. is one of `dtype.half`, `dtype.float`,
     `dtype.double`, `dtype.default_float`, `dtype.float16`, `dtype.float32`, `dtype.float64`, `dtype.bfloat16`.
 
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8.0, 9.0], dtype=dtypes.float)
-    print(t.is_floating_point())
-    ```
     ```python exec="true" source="above" session="tensor" result="python"
     t = Tensor([8, 9], dtype=dtypes.float)
     print(t.is_floating_point())
     ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8, 9], dtype=dtypes.int)
-    print(t.is_floating_point())
-    ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    t = Tensor([8, 9], dtype=dtypes.float64)
-    print(t.is_floating_point())
-    ```
     """
     return dtypes.is_float(self.dtype)
 
@@ -3061,10 +3017,7 @@ class Tensor:
     print(t.size())
     ```
     ```python exec="true" source="above" session="tensor" result="python"
-    print(t.size(0))
-    ```
-    ```python exec="true" source="above" session="tensor" result="python"
-    print(t.size(1))
+    print(t.size(dim=1))
     ```
     """
     return self.shape if dim is None else self.shape[dim]