Integrate llvm-project at b9898e7ed1ce and bump dependencies (#10740)
* llvm-project: b9898e7ed1ce
cherry-pick:
* 62e7f1ba736e883713541c942beb21cfcea84d12
* 193b8acf414d4ce27fb57646d1659ad785586f88
* 1f7fd5613ec9c880c5f9322604b9178e0572fb83
* mlir-hlo: 2d4a2de7f4b283c6c05a42986b99314509a041d7
* Revert: 9ffa6525d213ac7c0e4b8d2e400364933df58e24
* tensorflow: 0fa4b7efd4a0c9a74cb4f7b6a43290d67d885565
Co-authored-by: Okwan Kwon <okkwon@gmail.com>
Co-authored-by: Okwan Kwon <okwan@google.com>
Co-authored-by: Mahesh Ravishankar <ravishankarm@google.com>
Co-authored-by: Jerry Wu <cheyuw@google.com>
diff --git a/tests/compiler_driver/streams.mlir b/tests/compiler_driver/streams.mlir
index 9de9f1c..87d986a 100644
--- a/tests/compiler_driver/streams.mlir
+++ b/tests/compiler_driver/streams.mlir
@@ -40,7 +40,7 @@
%2 = stream.binding.subspan %ret0[%c0] : !stream.binding -> !flow.dispatch.tensor<writeonly:4xf32>
%3 = flow.dispatch.tensor.load %0, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readonly:4xf32> -> tensor<4xf32>
%4 = flow.dispatch.tensor.load %1, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readonly:4xf32> -> tensor<4xf32>
- %5 = linalg.init_tensor [4] : tensor<4xf32>
+ %5 = tensor.empty() : tensor<4xf32>
%6 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%3, %4 : tensor<4xf32>, tensor<4xf32>) outs(%5 : tensor<4xf32>) attrs = {name = "mul.1"} {
^bb0(%arg4: f32, %arg5: f32, %arg6: f32):
%10 = arith.mulf %arg4, %arg5 : f32
@@ -87,7 +87,7 @@
%1 = stream.binding.subspan %arg1[%c0] : !stream.binding -> !flow.dispatch.tensor<readonly:4xf32>
%3 = flow.dispatch.tensor.load %0, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readwrite:4xf32> -> tensor<4xf32>
%4 = flow.dispatch.tensor.load %1, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readonly:4xf32> -> tensor<4xf32>
- %5 = linalg.init_tensor [4] : tensor<4xf32>
+ %5 = tensor.empty() : tensor<4xf32>
%6 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%3, %4 : tensor<4xf32>, tensor<4xf32>) outs(%5 : tensor<4xf32>) attrs = {name = "mul.1"} {
^bb0(%arg4: f32, %arg5: f32, %arg6: f32):
%10 = arith.mulf %arg4, %arg5 : f32
@@ -137,7 +137,7 @@
%2 = stream.binding.subspan %ret0[%c0] : !stream.binding -> !flow.dispatch.tensor<writeonly:?xf32>{%arg0_dim0}
%3 = flow.dispatch.tensor.load %0, offsets = [0], sizes = [%arg0_dim0], strides = [1] : !flow.dispatch.tensor<readonly:?xf32>{%arg0_dim0} -> tensor<?xf32>
%4 = flow.dispatch.tensor.load %1, offsets = [0], sizes = [%arg1_dim0], strides = [1] : !flow.dispatch.tensor<readonly:?xf32>{%arg1_dim0} -> tensor<?xf32>
- %5 = linalg.init_tensor [%arg0_dim0] : tensor<?xf32>
+ %5 = tensor.empty(%arg0_dim0) : tensor<?xf32>
%6 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%3, %4 : tensor<?xf32>, tensor<?xf32>) outs(%5 : tensor<?xf32>) attrs = {name = "mul.1"} {
^bb0(%arg6: f32, %arg7: f32, %arg8: f32):
%10 = arith.mulf %arg6, %arg7 : f32
@@ -183,7 +183,7 @@
%2 = stream.binding.subspan %ret0[%c0] : !stream.binding -> !flow.dispatch.tensor<writeonly:4xf32>
%3 = flow.dispatch.tensor.load %0, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readonly:4xf32> -> tensor<4xf32>
%4 = flow.dispatch.tensor.load %1, offsets = [0], sizes = [4], strides = [1] : !flow.dispatch.tensor<readonly:4xf32> -> tensor<4xf32>
- %5 = linalg.init_tensor [4] : tensor<4xf32>
+ %5 = tensor.empty() : tensor<4xf32>
%6 = linalg.generic {indexing_maps = [affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>, affine_map<(d0) -> (d0)>], iterator_types = ["parallel"]} ins(%3, %4 : tensor<4xf32>, tensor<4xf32>) outs(%5 : tensor<4xf32>) {
^bb0(%lhs: f32, %rhs: f32, %out: f32):
%7 = arith.mulf %lhs, %rhs : f32
