Move subbyte e2e tests to another folder

tests/e2e/subbyte_types/CMakeLists.txt

@@ -0,0 +1,28 @@
+################################################################################
+# Autogenerated by build_tools/bazel_to_cmake/bazel_to_cmake.py from           #
+# tests/e2e/linalg/BUILD.bazel                                                 #
+#                                                                              #
+# Use iree_cmake_extra_content from iree/build_defs.oss.bzl to add arbitrary   #
+# CMake-only content.                                                          #
+#                                                                              #
+# To disable autogeneration for this file entirely, delete this header.        #
+################################################################################
+
+iree_add_all_subdirs()
+
+iree_check_single_backend_test_suite(
+  NAME
+    check_llvm-cpu_subbyte_emulation
+  SRCS
+    "subbyte_types.mlir"
+  TARGET_BACKEND
+    "llvm-cpu"
+  DRIVER
+    "local-task"
+  COMPILER_FLAGS
+    "--iree-llvmcpu-target-cpu=generic"
+  LABELS
+    "nowasm"
+)
+
+### BAZEL_TO_CMAKE_PRESERVES_ALL_CONTENT_BELOW_THIS_LINE ###

tests/e2e/subbyte_types/subbyte_types.mlir

@@ -0,0 +1,24 @@
+func.func @i4_type() {
+  %input1 = util.unfoldable_constant dense<[0, 1, 2, 3, 3, 2, 1, 0]> : tensor<8xi4>
+  %input2 = util.unfoldable_constant dense<[1, 2, 3, 4, 4, 3, 2, 1]> : tensor<8xi4>
+  %res = arith.addi %input1, %input2 : tensor<8xi4>
+  check.expect_eq_const(%res, dense<[1, 3, 5, 7, 7, 5, 3, 1]> : tensor<8xi4>) : tensor<8xi4>
+  return
+}
+
+func.func @i1_type() {
+  %input1 = util.unfoldable_constant dense<[0, 1, 0, 1, 0, 1, 0, 1]> : tensor<8xi1>
+  %input2 = util.unfoldable_constant dense<[1, 0, 1, 0, 1, 0, 1, 0]> : tensor<8xi1>
+  %res = arith.xori %input1, %input2 : tensor<8xi1>
+  check.expect_eq_const(%res, dense<[1, 1, 1, 1, 1, 1, 1, 1]> : tensor<8xi1>) : tensor<8xi1>
+  return
+}
+
+func.func @i1_type_2d() {
+  %lhs = util.unfoldable_constant dense<[[0, 1, 0], [1, 0, 1], [0, 1, 0]]> : tensor<3x3xi1>
+  %rhs = util.unfoldable_constant dense<[[1, 0, 1], [0, 1, 0], [1, 0, 1]]> : tensor<3x3xi1>
+  %acc = util.unfoldable_constant dense<[[0, 0, 0], [0, 0, 0], [0, 0, 0]]> : tensor<3x3xi1>
+  %result = linalg.matmul ins(%lhs, %rhs : tensor<3x3xi1>, tensor<3x3xi1>) outs(%acc : tensor<3x3xi1>) -> tensor<3x3xi1>
+  check.expect_eq_const(%result, dense<[[0, 1, 0], [0, 0, 0], [0, 1, 0]]> : tensor<3x3xi1>) : tensor<3x3xi1>
+  return
+}