Merge pull request #21 from jemc-savi/update/latest-savi

Update for latest Savi syntax.

src/Tensor.Gen.Random.savi

@@ -119,7 +119,7 @@
     g.add(name
       @_base_counter
       g.const("\(name).const"
-        if (@algorithm == Tensor.Gen.Random.Algorithm.Philox) (
+        if @algorithm == Tensor.Gen.Random.Algorithm.Philox (
           Tensor(U64).from_array([0, offset])
         |
           Tensor(U64).from_array([offset])

src/Tensor.Graph.Operation.savi

@@ -53,7 +53,7 @@
   :fun ref add_input_list(can_outputs Array(Tensor.Graph.CanOutput)'box)
     return @ if @_ptr.is_null
     outputs = Array(_FFI.Output).new(can_outputs.size)
-    can_outputs.each -> (can_output | try (outputs << can_output.output._to_ffi!))
+    can_outputs.each -> (can_output | try outputs << can_output.output._to_ffi!)
     @_ffi.add_input_list(@_ptr, outputs.cpointer, outputs.size.i32)
     @
 
@@ -88,7 +88,7 @@
     return @ if @_ptr.is_null
 
     dimensions_i64_ptr =
-      if (USize.byte_width == I64.byte_width) (
+      if USize.byte_width == I64.byte_width (
         _FFI.Cast(CPointer(USize), CPointer(I64)).pointer(dimensions.cpointer)
       |
         dimensions_i64 Array(I64) = []

src/Tensor.Graph.Output.savi

@@ -28,7 +28,7 @@
     )
 
     shape = Array(I64).new(rank)
-    while (shape.size < rank) (shape << I64.zero)
+    while shape.size < rank shape << I64.zero
     // TODO: make the above process more efficient - use the
     // `resize_possibly_including_uninitialized_memory` method on `Bytes`
     // for inspiration, but generalize to `Array`.

src/Tensor.Graph.savi

@@ -39,12 +39,12 @@
     y_ffis = Array(_FFI.Output).new(y_list.size)
     dy_ffis = Array(_FFI.Output).new(y_list.size)
     y_list.each -> (y |
-      try (y_ffis << y.output._to_ffi!)
+      try y_ffis << y.output._to_ffi!
       dy_ffis << _FFI.Output._new_temporarily_null
     )
 
     x_ffis = Array(_FFI.Output).new(x_list.size)
-    x_list.each -> (x | try (x_ffis << x.output._to_ffi!))
+    x_list.each -> (x | try x_ffis << x.output._to_ffi!)
 
     @_ffi.add_gradients(
       @_ptr

src/Tensor.Shape.savi

@@ -52,7 +52,9 @@
 
     out << "["
     array.each_with_index -> (dimension, i |
-      if (i > 0) (out << ", ")
+      if i > 0 (
+        out << ", "
+      )
       dimension.into_string(out)
     )
     out << "]"

src/Tensor.savi

@@ -71,7 +71,7 @@
     // TODO: Do this without the intermediate array?
     elements Array(T) = []
     total_element_count.times -> (index |
-      elements << yield index
+      elements << (yield index)
     )
     @from_array(elements)
 
@@ -84,7 +84,7 @@
     shape.each -> (dimension |
       element_count = element_count * dimension.usize
     )
-    error! unless (element_count == @element_count)
+    error! unless element_count == @element_count
 
     @_ffi.set_shape(
       @_ptr
@@ -98,7 +98,9 @@
 
     size = @element_count.usize
     data.reserve(orig_size + size)
-    while (data.size < size) (data << T.zero)
+    while data.size < size (
+      data << T.zero
+    )
     // TODO: make the above process more efficient - use the
     // `resize_possibly_including_uninitialized_memory` method on `Bytes`
     // for inspiration, but generalize to `Array`.