Tests: add a workaround for type deduction (#1114)

compnerd · web-flow · commit eb1f1dfd0471 · 2020-10-29T16:35:04.000-07:00
```
/SourceCache/tensorflow-swift-apis/Tests/TensorFlowTests/TensorAutoDiffTests.swift:616:17: error: cannot convert value of type 'Tensor&lt;Float&gt;.TangentVector' (aka 'Tensor&lt;Float&gt;') to expected argument type 'Tensor&lt;Double&gt;'
	assertEqual(gradient(at: [-1, 0, 1], in: f), [0.1966119, 0.25, 0.1966119], accuracy: 0.0001)
        ^
```

For some reason the gradient is being deduced as `Tensor&lt;Double&gt;` which
does not match the expectation of a `Tensor&lt;Float&gt;`.  Provide an
explicit conversion to workaround the issue.
diff --git a/Tests/TensorFlowTests/TensorAutoDiffTests.swift b/Tests/TensorFlowTests/TensorAutoDiffTests.swift
@@ -613,7 +613,7 @@ final class TensorAutoDiffTests: XCTestCase {
 
   func testSigmoid() {
     func f(a: Tensor<Float>) -> Tensor<Float> { sigmoid(a).sum() }
-    assertEqual(gradient(at: [-1, 0, 1], in: f), [0.1966119, 0.25, 0.1966119], accuracy: 0.0001)
+    assertEqual(Tensor<Float>(gradient(at: [-1, 0, 1], in: f)), [0.1966119, 0.25, 0.1966119], accuracy: 0.0001)
   }
 
   func testRelu() {

Original file line number	Diff line number	Diff line change
`@@ -613,7 +613,7 @@ final class TensorAutoDiffTests: XCTestCase {`
`613`	`613`
`614`	`614`	`func testSigmoid() {`
`615`	`615`	`func f(a: Tensor<Float>) -> Tensor<Float> { sigmoid(a).sum() }`
`616`		`- assertEqual(gradient(at: [-1, 0, 1], in: f), [0.1966119, 0.25, 0.1966119], accuracy: 0.0001)`
	`616`	`+ assertEqual(Tensor<Float>(gradient(at: [-1, 0, 1], in: f)), [0.1966119, 0.25, 0.1966119], accuracy: 0.0001)`
`617`	`617`	`}`
`618`	`618`
`619`	`619`	`func testRelu() {`