Fix lint "clippy::derivable_impls"

The code is not used anywhere else.

Author: therealfrauholle

src/eager/op.rs

@@ -16,9 +16,6 @@ use crate::{AnyTensor, Code, DataType, Result, Shape, Status};
 
 use tensorflow_sys as tf;
 
-#[cfg(test)]
-mod op_test_util;
-
 #[allow(
     non_snake_case,
     clippy::too_many_arguments,
@@ -417,9 +414,8 @@ impl<'a> Op<'a> {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use crate::eager::{Context, ContextOptions, TensorHandle};
+    use crate::eager::{Context, ContextOptions, TensorHandle, ToTensorHandle};
     use crate::Tensor;
-    use op_test_util::add as add_ut;
     use raw_ops::{add, concat_v2};
 
     #[cfg(feature = "ndarray")]
@@ -482,6 +478,26 @@ mod tests {
         let h_y = h_x.copy_sharing_tensor().unwrap();
         let expected = Tensor::new(&[2, 2]).with_values(&[2i32, 4, 6, 8]).unwrap();
 
+        fn add_ut<'a, T0, T1>(
+            ctx: &'a crate::eager::Context,
+            x: &T0,
+            y: &T1,
+        ) -> Result<TensorHandle<'a>>
+        where
+            T0: ToTensorHandle<'a>,
+            T1: ToTensorHandle<'a>,
+        {
+            let op_name = "Add";
+            let mut op = Op::new(ctx, op_name)?;
+
+            // Required input arguments
+            op.add_input(&x.to_handle(ctx)?)?;
+            op.add_input(&y.to_handle(ctx)?)?;
+
+            let [h] = op.execute::<1>(ctx)?;
+            Ok(h)
+        }
+
         // tensor and tensor
         let h_z = add_ut(&ctx, &x, &x).unwrap();
         let z = h_z.resolve::<i32>().unwrap();

src/eager/op/op_test_util.rs

@@ -1,86 +0,0 @@
-#![allow(non_snake_case)]
-/// Code for Op's ut that mimics raw_opw.
-use crate::eager::{TensorHandle, ToTensorHandle};
-use crate::Result;
-
-use super::Op;
-
-/// Add
-#[derive(::std::fmt::Debug)]
-pub struct Add {
-    T: ::std::option::Option<crate::DataType>,
-    device_name: ::std::option::Option<String>,
-}
-
-impl ::std::default::Default for Add {
-    fn default() -> Self {
-        Self {
-            T: None,
-            device_name: None,
-        }
-    }
-}
-
-impl Add {
-    /// Creates a new `Add`.
-    pub fn new() -> Self {
-        Self::default()
-    }
-
-    /// Sets the `T` attribute.
-    pub fn T<ArgType: ::std::convert::Into<crate::DataType>>(mut self, value: ArgType) -> Self {
-        self.T = ::std::option::Option::Some(value.into());
-        self
-    }
-
-    /// Set the `device_name` where in the Op is executed.
-    pub fn set_device(&mut self, device_name: &str) {
-        self.device_name = ::std::option::Option::Some(device_name.to_string());
-    }
-
-    /// Execute add.
-    pub fn call<'a, T0, T1>(
-        &self,
-        ctx: &'a crate::eager::Context,
-        x: &T0,
-        y: &T1,
-    ) -> Result<TensorHandle<'a>>
-    where
-        T0: ToTensorHandle<'a>,
-        T1: ToTensorHandle<'a>,
-    {
-        // Define Op
-
-        let op_name = "Add";
-        let mut op = Op::new(ctx, op_name)?;
-
-        // Required input arguments
-        op.add_input(&x.to_handle(ctx)?)?;
-        op.add_input(&y.to_handle(ctx)?)?;
-
-        // Attributes
-        if let ::std::option::Option::Some(value) = &self.T {
-            let attr_name = "T";
-            op.set_attr_type(attr_name, *value)?;
-        }
-
-        // Device
-        if let ::std::option::Option::Some(device_name) = &self.device_name {
-            op.set_device(device_name)?;
-        }
-
-        // Execute Op
-        let [h] = op.execute::<1>(ctx)?;
-        Ok(h)
-    }
-}
-
-/// add with default options.
-pub fn add<'a, T0, T1>(ctx: &'a crate::eager::Context, x: &T0, y: &T1) -> Result<TensorHandle<'a>>
-where
-    T0: ToTensorHandle<'a>,
-    T1: ToTensorHandle<'a>,
-{
-    let op = Add::new();
-    op.call(ctx, x, y)
-}