tensor: Hold step until req fired for both A and B

src/main/scala/radiance/core/TensorCoreDecoupled.scala

@@ -95,23 +95,10 @@ class TensorCoreDecoupled(
     busy := false.B
   }
 
-  // set/step sequencing logic
-  val nextStep = true.B // TODO
-  val lastSet = ((1 << setBits) - 1)
-  val lastStep = ((1 << stepBits) - 1)
-  val setDone = (set === lastSet.U)
-  val stepDone = (step === lastStep.U)
-  when (nextStep) {
-    step := (step + 1.U) & lastStep.U
-    when (stepDone) {
-      set := (set + 1.U) & lastSet.U
-    }
-  }
-
   // memory traffic generation
   val genReq = (state === TensorState.run)
 
-  List((io.reqA, io.respA), (io.reqB, io.respB)).foreach {
+  Seq((io.reqA, io.respA), (io.reqB, io.respB)).foreach {
     case (req, resp) => {
       val sourceGen = Module(new SourceGenerator(log2Ceil(numSourceIds)))
 
@@ -126,9 +113,35 @@ class TensorCoreDecoupled(
     }
   }
 
+  // only advance to the next step if we fired mem requests for both A and B
+  val firedABReg = RegInit(VecInit(false.B, false.B))
+  val firedABNow = VecInit((Seq(io.reqA, io.reqB) zip firedABReg).map {
+    case (req, fired) => { when (req.fire) { fired := true.B } }
+    req.fire
+  })
+  val firedAB = (firedABNow.asUInt | firedABReg.asUInt)
+  val nextStep = firedAB.andR
+  // clear out firedABReg every step.  this will overwrite the previous fired
+  // write upon the last fire out of A and B
+  when (nextStep) {
+    firedABReg := Seq(false.B, false.B)
+  }
+
   io.respA.ready := true.B
   io.respB.ready := true.B
 
+  // set/step sequencing logic
+  val lastSet = ((1 << setBits) - 1)
+  val lastStep = ((1 << stepBits) - 1)
+  val setDone = (set === lastSet.U)
+  val stepDone = (step === lastStep.U)
+  when (nextStep) {
+    step := (step + 1.U) & lastStep.U
+    when (stepDone) {
+      set := (set + 1.U) & lastSet.U
+    }
+  }
+
   // state transition logic
   switch(state) {
     is(TensorState.idle) {
@@ -213,8 +226,8 @@ class TensorCoreDecoupledTLImp(outer: TensorCoreDecoupledTL)
                       8, 8, outer.numSrcIds , TensorTilingParams()))
   val wordSize = 4 // FIXME: hardcoded
 
-  val zip = List((outer.node.out(0), tensor.io.reqA),
-                 (outer.node.out(1), tensor.io.reqB))
+  val zip = Seq((outer.node.out(0), tensor.io.reqA),
+                (outer.node.out(1), tensor.io.reqB))
   zip.foreach { case ((tl, edge), req) =>
     tl.a.valid := req.valid
     val (legal, bits) = edge.Get(