Fix various rustc and clippy warnings.

src/buffer.rs

@@ -194,7 +194,7 @@ impl<T: TensorType> Deref for Buffer<T> {
 
 impl<T: TensorType> DerefMut for Buffer<T> {
     #[inline]
-    fn deref_mut<'a>(&'a mut self) -> &'a mut [T] {
+    fn deref_mut(&mut self) -> &mut [T] {
         self.as_mut()
     }
 }

src/graph.rs

@@ -1,4 +1,3 @@
-extern crate libc;
 extern crate tensorflow_sys as tf;
 
 use libc::c_float;
@@ -144,9 +143,9 @@ impl Graph {
     }
 
     /// Iterates over the operations in the graph.
-    pub fn operation_iter<'a>(&'a self) -> OperationIter<'a> {
+    pub fn operation_iter(&self) -> OperationIter {
         OperationIter {
-            graph: &self,
+            graph: self,
             pos: 0,
         }
     }
@@ -492,9 +491,6 @@ impl<'a> Input<'a> {
 
 ////////////////////////
 
-#[deprecated(note="Use Output instead.")]
-type Port<'a> = Output<'a>;
-
 /// A `Output` is one end of a graph edge.
 /// It holds an operation and an index into the outputs of that operation.
 #[derive(Debug,Copy,Clone)]
@@ -756,13 +752,13 @@ impl<'a> OperationDescription<'a> {
                           -> std::result::Result<(), NulError> {
         let c_attr_name = try!(CString::new(attr_name));
         unsafe {
-            match &value.0 {
-                &None => tf::TF_SetAttrShape(self.inner, c_attr_name.as_ptr(), ptr::null(), -1),
-                &Some(ref dims) => {
+            match value.0 {
+                None => tf::TF_SetAttrShape(self.inner, c_attr_name.as_ptr(), ptr::null(), -1),
+                Some(ref dims) => {
                     let c_dims: Vec<i64> = dims.iter()
-                        .map(|x| match x {
-                            &Some(d) => d,
-                            &None => -1,
+                        .map(|x| match *x {
+                            Some(d) => d,
+                            None => -1,
                         })
                         .collect();
                     tf::TF_SetAttrShape(self.inner,
@@ -783,28 +779,28 @@ impl<'a> OperationDescription<'a> {
         let c_attr_name = try!(CString::new(attr_name));
         // Convert Option<i64> in each shape to i64 with None becoming -1.
         let c_dims: Vec<Option<Vec<i64>>> = value.iter()
-            .map(|x| match &x.0 {
-                &None => None,
-                &Some(ref dims) => {
+            .map(|x| match x.0 {
+                None => None,
+                Some(ref dims) => {
                     Some(dims.iter()
-                        .map(|x| match x {
-                            &None => -1,
-                            &Some(d) => d,
+                        .map(|x| match *x {
+                            None => -1,
+                            Some(d) => d,
                         })
                         .collect())
                 }
             })
             .collect();
         let ptrs: Vec<*const i64> = c_dims.iter()
-            .map(|x| match x {
-                &None => ptr::null(),
-                &Some(ref dims) => dims.as_ptr(),
+            .map(|x| match *x {
+                None => ptr::null(),
+                Some(ref dims) => dims.as_ptr(),
             })
             .collect();
         let lens: Vec<c_int> = value.iter()
-            .map(|x| match &x.0 {
-                &None => -1,
-                &Some(ref dims) => dims.len() as c_int,
+            .map(|x| match x.0 {
+                None => -1,
+                Some(ref dims) => dims.len() as c_int,
             })
             .collect();
         unsafe {

src/lib.rs

@@ -1,5 +1,5 @@
 //! This crate provides Rust bindings for the
-//! [TensorFlow](https://www.tensorflow.org) machine learning library.
+//! [`TensorFlow`](https://www.tensorflow.org) machine learning library.
 
 #![warn(missing_copy_implementations,
         missing_debug_implementations,
@@ -343,6 +343,7 @@ c_enum!("Type of a single tensor element.", TF_DataType, DataType {
   /// 16-bit floating point.
   value Half = 19,
 
+  /// TensorFlow Resource (name, container, device,...)
   value Resource = 20,
 });
 
@@ -936,7 +937,7 @@ impl<T: TensorType> Deref for Tensor<T> {
 
 impl<T: TensorType> DerefMut for Tensor<T> {
     #[inline]
-    fn deref_mut<'a>(&'a mut self) -> &'a mut [T] {
+    fn deref_mut(&mut self) -> &mut [T] {
         &mut self.data
     }
 }
@@ -1010,7 +1011,7 @@ trait OperationTrait {
 ////////////////////////
 
 /// Returns a string describing version information of the
-/// TensorFlow library. TensorFlow using semantic versioning.
+/// `TensorFlow` library. `TensorFlow` is using semantic versioning.
 pub fn version() -> std::result::Result<String, Utf8Error> {
     unsafe { CStr::from_ptr(tf::TF_Version()).to_str().map(|s| s.to_string()) }
 }
@@ -1028,9 +1029,9 @@ pub struct Shape(Option<Vec<Option<i64>>>);
 impl Shape {
     /// Returns the number of dimensions if known, or None if unknown.
     pub fn dims(&self) -> Option<usize> {
-        match self {
-            &Shape(None) => None,
-            &Shape(Some(ref v)) => Some(v.len()),
+        match *self {
+            Shape(None) => None,
+            Shape(Some(ref v)) => Some(v.len()),
         }
     }
 }
@@ -1053,9 +1054,9 @@ impl Index<usize> for Shape {
     type Output = Option<i64>;
 
     fn index(&self, index: usize) -> &Option<i64> {
-        match &self.0 {
-            &None => &UNKNOWN_DIMENSION,
-            &Some(ref v) => {
+        match self.0 {
+            None => &UNKNOWN_DIMENSION,
+            Some(ref v) => {
                 if index < v.len() {
                     &v[index]
                 } else {

src/session.rs

@@ -1,5 +1,4 @@
-extern crate tensorflow_sys as tf;
-
+use tf;
 use libc::c_int;
 use std::marker;
 use std::ptr;
@@ -21,9 +20,6 @@ pub struct Session {
     inner: *mut tf::TF_Session,
 }
 
-#[deprecated(note = "Use Session instead.")]
-type SessionWithGraph = Session;
-
 impl Session {
     /// Creates a session.
     pub fn new(options: &SessionOptions, graph: &Graph) -> Result<Self> {
@@ -236,7 +232,6 @@ impl<'l> Drop for StepWithGraph<'l> {
 
 #[cfg(test)]
 mod tests {
-    extern crate tensorflow_sys as tf;
     use super::*;
     use super::super::DataType;
     use super::super::Graph;