Fix capitalization

kgryte · kgryte · commit 6d07a3a9ee65 · 2020-08-24T20:18:34.000-07:00
diff --git a/README.md b/README.md
@@ -51,7 +51,7 @@ Currently, the following array libraries are evaluated:
 -   [**PyTorch**][pytorch]
 -   [**rnumpy**][rnumpy]: an opinionated curation of NumPy APIs, serving as an exercise in evaluating what is most "essential" (i.e., the smallest set of building block functionality on which most array functionality can be built).
 -   [**PyData/Sparse**][pydata-sparse]
--   [**Tensorflow**][tensorflow]
+-   [**TensorFlow**][tensorflow]
 
 * * *
 
diff --git a/notebooks/analysis.ipynb b/notebooks/analysis.ipynb
@@ -103,7 +103,7 @@
     "-   [**PyTorch**][pytorch]\n",
     "-   [**rnumpy**][rnumpy]: an opinionated curation of NumPy APIs, serving as an exercise in evaluating what is most \"essential\" (i.e., the smallest set of building block functionality on which most array functionality can be built).\n",
     "-   [**PyData/Sparse**][pydata-sparse]\n",
-    "-   [**Tensorflow**][tensorflow]\n",
+    "-   [**TensorFlow**][tensorflow]\n",
     "\n",
     "The data from this analysis can be found in the \"join\" dataset below.\n",
     "\n",
@@ -115,7 +115,7 @@
     "-   [**JAX**][jax]\n",
     "-   [**MXNet**][mxnet]\n",
     "-   [**PyTorch**][pytorch]\n",
-    "-   [**Tensorflow**][tensorflow]\n",
+    "-   [**TensorFlow**][tensorflow]\n",
     "\n",
     "[**PyData/Sparse**][pydata-sparse] was omitted due to insufficient and relatively nascent API coverage. [**rnumpy**][rnumpy] was omitted due to its nature as an intellectual exercise exploring what a minimal API could look like, rather than a ubiquitous library having widespread usage.\n",
     "\n",
diff --git a/signatures/arithmetic-operations/README.md b/signatures/arithmetic-operations/README.md
@@ -38,7 +38,7 @@ np.<name>(x1, x2, out=None, **kwargs) → ndarray
 torch.<name>(input, other, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.<name>(x, y, name=None) → Tensor
diff --git a/signatures/arithmetic-operations/add.md b/signatures/arithmetic-operations/add.md
@@ -36,7 +36,7 @@ np.add(x1, x2, out=None, **kwargs) → ndarray
 torch.add(input, other, alpha=1, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.add(x, y, name=None) → Tensor
diff --git a/signatures/arithmetic-operations/divide.md b/signatures/arithmetic-operations/divide.md
@@ -36,7 +36,7 @@ np.divide(x1, x2, out=None, **kwargs) → ndarray
 torch.div(input, other, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.divide(x, y, name=None) → Tensor
diff --git a/signatures/arithmetic-operations/multiply.md b/signatures/arithmetic-operations/multiply.md
@@ -36,7 +36,7 @@ np.multiply(x1, x2, out=None, **kwargs) → ndarray
 torch.mul(input, other, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.multiply(x, y, name=None) → Tensor
diff --git a/signatures/arithmetic-operations/subtract.md b/signatures/arithmetic-operations/subtract.md
@@ -36,7 +36,7 @@ np.subtract(x1, x2, out=None, **kwargs) → ndarray
 
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.subtract(x, y, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/README.md b/signatures/elementwise-mathematical-functions/README.md
@@ -38,7 +38,7 @@ np.<name>(x, out=None, **kwargs) → ndarray
 torch.<name>(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.<name>(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/abs.md b/signatures/elementwise-mathematical-functions/abs.md
@@ -36,7 +36,7 @@ np.absolute(x, out=None, **kwargs) → ndarray
 torch.abs(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.abs(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/acos.md b/signatures/elementwise-mathematical-functions/acos.md
@@ -36,7 +36,7 @@ np.arccos(x, out=None, **kwargs) → ndarray
 torch.acos(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.acos(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/acosh.md b/signatures/elementwise-mathematical-functions/acosh.md
@@ -36,7 +36,7 @@ np.arccosh(x, out=None, **kwargs) → ndarray
 
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.acosh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/asin.md b/signatures/elementwise-mathematical-functions/asin.md
@@ -36,7 +36,7 @@ np.arcsin(x, out=None, **kwargs) → ndarray
 torch.asin(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.asin(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/asinh.md b/signatures/elementwise-mathematical-functions/asinh.md
@@ -36,7 +36,7 @@ np.arcsinh(x, out=None, **kwargs) → ndarray
 
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.asinh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/atan.md b/signatures/elementwise-mathematical-functions/atan.md
@@ -36,7 +36,7 @@ np.arctan(x, out=None, **kwargs) → ndarray
 torch.atan(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.atan(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/atanh.md b/signatures/elementwise-mathematical-functions/atanh.md
@@ -36,7 +36,7 @@ np.arctanh(x, out=None, **kwargs) → ndarray
 
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.atanh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/ceil.md b/signatures/elementwise-mathematical-functions/ceil.md
@@ -36,7 +36,7 @@ np.ceil(x, out=None, **kwargs) → ndarray
 torch.ceil(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.ceil(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/cos.md b/signatures/elementwise-mathematical-functions/cos.md
@@ -36,7 +36,7 @@ np.cos(x, out=None, **kwargs) → ndarray
 torch.cos(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.cos(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/cosh.md b/signatures/elementwise-mathematical-functions/cosh.md
@@ -36,7 +36,7 @@ np.cosh(x, out=None, **kwargs) → ndarray
 torch.cosh(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.cosh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/exp.md b/signatures/elementwise-mathematical-functions/exp.md
@@ -36,7 +36,7 @@ np.exp(x, out=None, **kwargs) → ndarray
 torch.exp(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.exp(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/floor.md b/signatures/elementwise-mathematical-functions/floor.md
@@ -36,7 +36,7 @@ np.floor(x, out=None, **kwargs) → ndarray
 torch.floor(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.floor(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/log.md b/signatures/elementwise-mathematical-functions/log.md
@@ -36,7 +36,7 @@ np.log(x, out=None, **kwargs) → ndarray
 torch.log(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.log(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/round.md b/signatures/elementwise-mathematical-functions/round.md
@@ -36,7 +36,7 @@ np.rint(x, out=None, **kwargs) → ndarray
 torch.round(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.round(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/sin.md b/signatures/elementwise-mathematical-functions/sin.md
@@ -36,7 +36,7 @@ np.sin(x, out=None, **kwargs) → ndarray
 torch.sin(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.sin(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/sinh.md b/signatures/elementwise-mathematical-functions/sinh.md
@@ -36,7 +36,7 @@ np.sinh(x, out=None, **kwargs) → ndarray
 torch.sinh(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.sinh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/sqrt.md b/signatures/elementwise-mathematical-functions/sqrt.md
@@ -36,7 +36,7 @@ np.sqrt(x, out=None, **kwargs) → ndarray
 torch.sqrt(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.sqrt(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/tan.md b/signatures/elementwise-mathematical-functions/tan.md
@@ -36,7 +36,7 @@ np.tan(x, out=None, **kwargs) → ndarray
 torch.tan(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.tan(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/tanh.md b/signatures/elementwise-mathematical-functions/tanh.md
@@ -36,7 +36,7 @@ np.tanh(x, out=None, **kwargs) → ndarray
 torch.tanh(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.tanh(x, name=None) → Tensor
diff --git a/signatures/elementwise-mathematical-functions/trunc.md b/signatures/elementwise-mathematical-functions/trunc.md
@@ -36,7 +36,7 @@ np.trunc(x, out=None, **kwargs) → ndarray
 torch.trunc(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.truncatediv(x, y, name=None) → Tensor
diff --git a/signatures/linalg/cross.md b/signatures/linalg/cross.md
@@ -36,7 +36,7 @@ np.cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None) → ndarray
 torch.cross(input, other, dim=-1, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.linalg.cross(a, b, name=None) → Tensor
diff --git a/signatures/linalg/det.md b/signatures/linalg/det.md
@@ -36,7 +36,7 @@ np.linalg.det(a) → ndarray
 torch.det(input) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.linalg.det(input, name=None) → Tensor
diff --git a/signatures/linalg/diagonal.md b/signatures/linalg/diagonal.md
@@ -36,7 +36,7 @@ np.diagonal(a, offset=0, axis1=0, axis2=1) → ndarray
 torch.diagonal(input, offset=0, dim1=0, dim2=1) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.linalg.diag_part(input, name='diag_part', k=0, padding_value=0, align='RIGHT_LEFT') → Tensor
diff --git a/signatures/linalg/inv.md b/signatures/linalg/inv.md
@@ -36,7 +36,7 @@ np.linalg.inv(a) → ndarray
 torch.inverse(input, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.linalg.inv(input, adjoint=False, name=None) → Tensor
diff --git a/signatures/linalg/norm.md b/signatures/linalg/norm.md
@@ -36,7 +36,7 @@ np.linalg.norm(x, ord=None, axis=None, keepdims=False) → ndarray
 torch.norm(input, p='fro', dim=None, keepdim=False, out=None, dtype=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.norm(tensor, ord='euclidean', axis=None, keepdims=None, name=None) → Tensor
diff --git a/signatures/linalg/outer.md b/signatures/linalg/outer.md
@@ -36,7 +36,7 @@ np.outer(a, b) → ndarray
 torch.ger(input, vec2, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.tensordot(a, b, 0, name=None) → Tensor
diff --git a/signatures/linalg/trace.md b/signatures/linalg/trace.md
@@ -36,7 +36,7 @@ np.trace(a, offset=0, axis1=0, axis2=1, out=None) → ndarray
 torch.trace(input) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.linalg.trace(x, name=None) → Tensor
diff --git a/signatures/linalg/transpose.md b/signatures/linalg/transpose.md
@@ -36,7 +36,7 @@ np.transpose(a, axes=None) → ndarray
 torch.transpose(input, dim0, dim1) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.transpose(a, perm=None, conjugate=False, name='transpose') → Tensor
diff --git a/signatures/sorting/argsort.md b/signatures/sorting/argsort.md
@@ -36,7 +36,7 @@ np.argsort(a, axis=-1, kind=None, order=None) → ndarray
 torch.argsort(input, dim=-1, descending=False) → LongTensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.argsort(values, axis=-1, direction='ASCENDING', stable=False, name=None) → Tensor
diff --git a/signatures/sorting/sort.md b/signatures/sorting/sort.md
@@ -36,7 +36,7 @@ np.sort(a, axis=-1, kind=None, order=None) → ndarray
 torch.sort(input, dim=-1, descending=False, out=None) → (Tensor, LongTensor)
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.sort(values, axis=-1, direction='ASCENDING', name=None) → Tensor
diff --git a/signatures/statistical-functions/README.md b/signatures/statistical-functions/README.md
@@ -38,7 +38,7 @@ np.<name>(a, axis=None, dtype=None, out=None, keepdims=False) → ndarray
 torch.<name>(input, dim, keepdim=False, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.reduce_<name>(input_tensor, axis=None, keepdims=False, name=None) → Tensor
diff --git a/signatures/statistical-functions/max.md b/signatures/statistical-functions/max.md
@@ -36,7 +36,7 @@ jax.numpy.amax(a, axis=None, dtype=None, out=None, keepdims=False) → ndarray
 torch.max(input, dim, keepdim=False, out=None) → (Tensor, Tensor)
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.reduce_max(input_tensor, axis=None, keepdims=False, name=None) → Tensor
diff --git a/signatures/statistical-functions/mean.md b/signatures/statistical-functions/mean.md
@@ -36,7 +36,7 @@ np.mean(a, axis=None, dtype=None, out=None, keepdims=False) → ndarray
 torch.mean(input, dim, keepdim=False, out=None) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.reduce_mean(input_tensor, axis=None, keepdims=False, name=None) → Tensor
diff --git a/signatures/statistical-functions/min.md b/signatures/statistical-functions/min.md
@@ -36,7 +36,7 @@ jax.numpy.amin(a, axis=None, dtype=None, out=None, keepdims=False) → ndarray
 torch.min(input, dim, keepdim=False, out=None) → (Tensor, Tensor)
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.reduce_min(input_tensor, axis=None, keepdims=False, name=None) → Tensor
diff --git a/signatures/statistical-functions/prod.md b/signatures/statistical-functions/prod.md
@@ -36,7 +36,7 @@ np.prod(a, axis=None, dtype=None, out=None, keepdims=False) → ndarray
 torch.prod(input, dim, keepdim=False, dtype=True) → Tensor
 ```
 
-## Tensorflow
+## TensorFlow
 
 ```
 tf.math.reduce_prod(input_tensor, axis=None, keepdims=False, name=None) → Tensor
diff --git a/signatures/statistical-functions/std.md b/signatures/statistical-functions/std.md
diff --git a/signatures/statistical-functions/sum.md b/signatures/statistical-functions/sum.md
diff --git a/signatures/statistical-functions/var.md b/signatures/statistical-functions/var.md
