Added TTNN Bindings

updated imports

Added TTNN Ops, Attrs, & Enums to Python Bindings

include/ttmlir-c/Dialects.h

@@ -14,6 +14,7 @@ extern "C" {
 MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(TT, tt);
 MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(TTIR, ttir);
 MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(TTKernel, ttkernel);
+MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(TTNN, ttnn);
 
 #ifdef __cplusplus
 }

include/ttmlir-c/TTNNAttrs.h

@@ -0,0 +1,48 @@
+// SPDX-FileCopyrightText: (c) 2024 Tenstorrent AI ULC
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#ifndef TTMLIR_C_TTNNATTRS_H
+#define TTMLIR_C_TTNNATTRS_H
+
+#include "ttmlir-c/Dialects.h"
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNCoreRangeAttrGet(MlirContext ctx,
+                                                            int64_t *offset,
+                                                            size_t offsetSize,
+                                                            int64_t *size,
+                                                            size_t sizeSize);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNCoreRangeArrayAttrGet(
+    MlirContext ctx, MlirAttribute *coreRangeAttrs, size_t coreRangeAttrsSize);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNLayoutAttrGet(MlirContext ctx,
+                                                         uint32_t layout);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNTensorMemoryLayoutAttrGet(
+    MlirContext ctx, uint32_t tensorMemoryLayout);
+
+MLIR_CAPI_EXPORTED MlirAttribute
+ttmlirTTNNBufferTypeAttrGet(MlirContext ctx, uint32_t bufferType);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNMemoryConfigAttrGet(
+    MlirContext ctx, MlirAttribute tensorMemoryLayoutAttr,
+    MlirAttribute bufferTypeAttr);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNShapeAttrGet(MlirContext ctx,
+                                                        int64_t *shape,
+                                                        size_t shapeSize);
+
+MLIR_CAPI_EXPORTED MlirAttribute ttmlirTTNNMeshShapeAttrGet(MlirContext ctx,
+                                                            int64_t y,
+                                                            int64_t x);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // TTMLIR_C_TTNNATTRS_H

include/ttmlir/Bindings/Python/TTMLIRModule.h

@@ -26,6 +26,7 @@ namespace py = pybind11;
 namespace mlir::ttmlir::python {
 void populateTTModule(py::module &m);
 void populateTTKernelModule(py::module &m);
+void populateTTNNModule(py::module &m);
 void populateOverridesModule(py::module &m);
 void populatePassesModule(py::module &m);
 } // namespace mlir::ttmlir::python

lib/CAPI/CMakeLists.txt

@@ -3,6 +3,7 @@ add_mlir_public_c_api_library(TTMLIRCAPI
   TTKernelTypes.cpp
   TTAttrs.cpp
   TTTypes.cpp
+  TTNNAttrs.cpp
 
   ADDITIONAL_HEADER_DIRS
   ${PROJECT_SOURCE_DIR}/include/ttmlir-c/
@@ -16,6 +17,7 @@ add_mlir_public_c_api_library(TTMLIRCAPI
   MLIRTTDialect
   MLIRTTIRDialect
   MLIRTTKernelDialect
+  MLIRTTNNDialect
   MLIRTTIRTransforms
   MLIRTTIRAnalysis
 )

lib/CAPI/Dialects.cpp

@@ -8,8 +8,10 @@
 #include "ttmlir/Dialect/TT/IR/TT.h"
 #include "ttmlir/Dialect/TTIR/IR/TTIR.h"
 #include "ttmlir/Dialect/TTKernel/IR/TTKernel.h"
+#include "ttmlir/Dialect/TTNN/IR/TTNN.h"
 
 MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(TT, tt, mlir::tt::TTDialect)
 MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(TTIR, ttir, mlir::tt::ttir::TTIRDialect)
 MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(TTKernel, ttkernel,
                                       mlir::tt::ttkernel::TTKernelDialect)
+MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(TTNN, ttnn, mlir::tt::ttnn::TTNNDialect)

lib/CAPI/TTNNAttrs.cpp

@@ -0,0 +1,66 @@
+// SPDX-FileCopyrightText: (c) 2024 Tenstorrent AI ULC
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#include "ttmlir-c/TTNNAttrs.h"
+#include "mlir/CAPI/IR.h"
+#include "mlir/CAPI/Support.h"
+
+#include "ttmlir/Dialect/TTNN/IR/TTNNOpsAttrs.h"
+
+namespace mlir::tt::ttnn {
+
+MlirAttribute ttmlirTTNNCoreRangeAttrGet(MlirContext ctx, int64_t *offset,
+                                         size_t offsetSize, int64_t *size,
+                                         size_t sizeSize) {
+  return wrap(CoreRangeAttr::get(unwrap(ctx), {offset, offset + offsetSize},
+                                 {size, size + sizeSize}));
+}
+
+MlirAttribute ttmlirTTNNCoreRangeArrayAttrGet(MlirContext ctx,
+                                              MlirAttribute *coreRangeAttrs,
+                                              size_t coreRangeAttrsSize) {
+  std::vector<mlir::Attribute> coreRanges;
+  for (size_t i = 0; i < coreRangeAttrsSize; i++) {
+    coreRanges.push_back(mlir::cast<CoreRangeAttr>(unwrap(coreRangeAttrs[i])));
+  }
+  return wrap(ArrayAttr::get(unwrap(ctx), coreRanges));
+}
+
+MlirAttribute ttmlirTTNNLayoutAttrGet(MlirContext ctx, uint32_t layout) {
+  return wrap(LayoutAttr::get(unwrap(ctx), static_cast<Layout>(layout)));
+}
+
+MlirAttribute ttmlirTTNNTensorMemoryLayoutAttrGet(MlirContext ctx,
+                                                  uint32_t tensorMemoryLayout) {
+  return wrap(TensorMemoryLayoutAttr::get(
+      unwrap(ctx), static_cast<TensorMemoryLayout>(tensorMemoryLayout)));
+}
+
+MlirAttribute ttmlirTTNNBufferTypeAttrGet(MlirContext ctx,
+                                          uint32_t bufferType) {
+  return wrap(
+      BufferTypeAttr::get(unwrap(ctx), static_cast<BufferType>(bufferType)));
+}
+
+MlirAttribute
+ttmlirTTNNMemoryConfigAttrGet(MlirContext ctx,
+                              MlirAttribute tensorMemoryLayoutAttr,
+                              MlirAttribute bufferTypeAttr) {
+  return wrap(MemoryConfigAttr::get(
+      unwrap(ctx),
+      mlir::cast<TensorMemoryLayoutAttr>(unwrap(tensorMemoryLayoutAttr)),
+      mlir::cast<BufferTypeAttr>(unwrap(bufferTypeAttr))));
+}
+
+MlirAttribute ttmlirTTNNShapeAttrGet(MlirContext ctx, int64_t *shape,
+                                     size_t shapeSize) {
+  return wrap(ShapeAttr::get(unwrap(ctx), {shape, shape + shapeSize}));
+}
+
+MlirAttribute ttmlirTTNNMeshShapeAttrGet(MlirContext ctx, int64_t y,
+                                         int64_t x) {
+  return wrap(MeshShapeAttr::get(unwrap(ctx), y, x));
+}
+
+} // namespace mlir::tt::ttnn

python/CMakeLists.txt

@@ -26,7 +26,7 @@ declare_mlir_dialect_python_bindings(
   ROOT_DIR "${TTMLIR_PYTHON_ROOT_DIR}"
   TD_FILE dialects/TTBinding.td
   GEN_ENUM_BINDINGS ON
-  GEN_ENUM_TD_FILE dialects/TTEnumBindings.td
+  GEN_ENUM_TD_FILE dialects/TTEnumBinding.td
   SOURCES dialects/tt.py
   DIALECT_NAME tt
 )
@@ -47,6 +47,16 @@ declare_mlir_dialect_python_bindings(
   DIALECT_NAME ttkernel
 )
 
+declare_mlir_dialect_python_bindings(
+  ADD_TO_PARENT TTMLIRPythonSources.Dialects
+  ROOT_DIR "${TTMLIR_PYTHON_ROOT_DIR}"
+  TD_FILE dialects/TTNNBinding.td
+  GEN_ENUM_BINDINGS ON
+  GEN_ENUM_TD_FILE dialects/TTNNEnumBinding.td
+  SOURCES dialects/ttnn.py
+  DIALECT_NAME ttnn
+)
+
 declare_mlir_python_sources(TTMLIRPythonSources.Overrides
   ROOT_DIR "${TTMLIR_PYTHON_ROOT_DIR}"
   ADD_TO_PARENT TTMLIRPythonSources
@@ -72,6 +82,7 @@ declare_mlir_python_extension(TTMLIRPythonExtensions.Main
     TTMLIRModule.cpp
     TTModule.cpp
     TTKernelModule.cpp
+    TTNNModule.cpp
     Overrides.cpp
     Passes.cpp
   EMBED_CAPI_LINK_LIBS

python/TTMLIRModule.cpp

@@ -13,13 +13,16 @@ PYBIND11_MODULE(_ttmlir, m) {
         MlirDialectHandle tt_handle = mlirGetDialectHandle__tt__();
         MlirDialectHandle ttir_handle = mlirGetDialectHandle__ttir__();
         MlirDialectHandle ttkernel_handle = mlirGetDialectHandle__ttkernel__();
+        MlirDialectHandle ttnn_handle = mlirGetDialectHandle__ttnn__();
         mlirDialectHandleRegisterDialect(tt_handle, context);
         mlirDialectHandleRegisterDialect(ttir_handle, context);
         mlirDialectHandleRegisterDialect(ttkernel_handle, context);
+        mlirDialectHandleRegisterDialect(ttnn_handle, context);
         if (load) {
           mlirDialectHandleLoadDialect(tt_handle, context);
           mlirDialectHandleLoadDialect(ttir_handle, context);
           mlirDialectHandleLoadDialect(ttkernel_handle, context);
+          mlirDialectHandleLoadDialect(ttnn_handle, context);
         }
       },
       py::arg("context"), py::arg("load") = true);
@@ -28,6 +31,8 @@ PYBIND11_MODULE(_ttmlir, m) {
   mlir::ttmlir::python::populateTTModule(tt_ir);
   auto ttkernel_ir = m.def_submodule("ttkernel_ir", "TTKernel IR Bindings");
   mlir::ttmlir::python::populateTTKernelModule(ttkernel_ir);
+  auto ttnn_ir = m.def_submodule("ttnn_ir", "TTNN IR Bindings");
+  mlir::ttmlir::python::populateTTNNModule(ttnn_ir);
   auto overrides = m.def_submodule("overrides", "Python-Bound Overrides");
   mlir::ttmlir::python::populateOverridesModule(overrides);
   auto passes =

python/TTNNModule.cpp

@@ -0,0 +1,104 @@
+// SPDX-FileCopyrightText: (c) 2024 Tenstorrent AI ULC
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#include "ttmlir/Bindings/Python/TTMLIRModule.h"
+
+namespace mlir::ttmlir::python {
+void populateTTNNModule(py::module &m) {
+
+  py::class_<tt::ttnn::CoreRangeAttr>(m, "CoreRangeAttr")
+      .def_static("get",
+                  [](MlirContext ctx, std::vector<int64_t> offset,
+                     std::vector<int64_t> size) {
+                    return wrap(tt::ttnn::CoreRangeAttr::get(unwrap(ctx),
+                                                             offset, size));
+                  })
+      .def_static(
+          "get_with_grid",
+          [](MlirContext ctx, MlirAttribute grid, std::vector<int64_t> offset) {
+            llvm::SmallVector<int64_t> offsetVec{0, 0};
+            if (offset.size() == 2 && not(offset[0] == 0 && offset[1] == 0)) {
+              offsetVec[0] = offset[0];
+              offsetVec[1] = offset[1];
+            }
+            return wrap(tt::ttnn::CoreRangeAttr::get(
+                unwrap(ctx), mlir::cast<tt::GridAttr>(unwrap(grid)),
+                offsetVec));
+          },
+          py::arg("ctx"), py::arg("grid"),
+          py::arg("offset") = std::vector<int64_t>{0, 0});
+  py::class_<tt::ttnn::LayoutAttr>(m, "LayoutAttr")
+      .def_static("get",
+                  [](MlirContext ctx, uint32_t layout) {
+                    return wrap(tt::ttnn::LayoutAttr::get(
+                        unwrap(ctx), static_cast<tt::ttnn::Layout>(layout)));
+                  })
+      .def_property_readonly("value", [](tt::ttnn::LayoutAttr self) {
+        return static_cast<uint32_t>(self.getValue());
+      });
+  py::class_<tt::ttnn::TensorMemoryLayoutAttr>(m, "TensorMemoryLayoutAttr")
+      .def_static("get",
+                  [](MlirContext ctx, uint32_t tensorMemoryLayout) {
+                    return wrap(tt::ttnn::TensorMemoryLayoutAttr::get(
+                        unwrap(ctx), static_cast<tt::ttnn::TensorMemoryLayout>(
+                                         tensorMemoryLayout)));
+                  })
+      .def_property_readonly("value",
+                             [](tt::ttnn::TensorMemoryLayoutAttr self) {
+                               return static_cast<uint32_t>(self.getValue());
+                             });
+  py::class_<tt::ttnn::BufferTypeAttr>(m, "BufferTypeAttr")
+      .def_static(
+          "get",
+          [](MlirContext ctx, uint32_t bufferType) {
+            return wrap(tt::ttnn::BufferTypeAttr::get(
+                unwrap(ctx), static_cast<tt::ttnn::BufferType>(bufferType)));
+          })
+      .def_property_readonly("value", [](tt::ttnn::BufferTypeAttr self) {
+        return static_cast<uint32_t>(self.getValue());
+      });
+  py::class_<tt::ttnn::MemoryConfigAttr>(m, "MemoryConfigAttr")
+      .def_static("get",
+                  [](MlirContext ctx,
+                     tt::ttnn::TensorMemoryLayoutAttr tensorMemoryLayoutAttr,
+                     tt::ttnn::BufferTypeAttr bufferTypeAttr) {
+                    return wrap(tt::ttnn::MemoryConfigAttr::get(
+                        unwrap(ctx), tensorMemoryLayoutAttr, bufferTypeAttr));
+                  })
+      .def_static(
+          "get_by_value",
+          [](MlirContext ctx, uint32_t tensorMemoryLayout,
+             uint32_t bufferType) {
+            return wrap(tt::ttnn::MemoryConfigAttr::get(
+                unwrap(ctx),
+                tt::ttnn::TensorMemoryLayoutAttr::get(
+                    unwrap(ctx), static_cast<tt::ttnn::TensorMemoryLayout>(
+                                     tensorMemoryLayout)),
+                tt::ttnn::BufferTypeAttr::get(
+                    unwrap(ctx),
+                    static_cast<tt::ttnn::BufferType>(bufferType))));
+          })
+      .def_property_readonly("tensor_memory_layout",
+                             &tt::ttnn::MemoryConfigAttr::getTensorMemoryLayout)
+      .def_property_readonly("buffer_type",
+                             &tt::ttnn::MemoryConfigAttr::getBufferType);
+  py::class_<tt::ttnn::ShapeAttr>(m, "ShapeAttr")
+      .def_static("get",
+                  [](MlirContext ctx, std::vector<int64_t> shape) {
+                    return wrap(tt::ttnn::ShapeAttr::get(unwrap(ctx), shape));
+                  })
+      .def_property_readonly("shape", [](tt::ttnn::ShapeAttr self) {
+        return std::vector<int64_t>(self.getShape().begin(),
+                                    self.getShape().end());
+      });
+  py::class_<tt::ttnn::MeshShapeAttr>(m, "MeshShapeAttr")
+      .def_static("get",
+                  [](MlirContext ctx, int64_t y, int64_t x) {
+                    return wrap(
+                        tt::ttnn::MeshShapeAttr::get(unwrap(ctx), y, x));
+                  })
+      .def_property_readonly("y", &tt::ttnn::MeshShapeAttr::getY)
+      .def_property_readonly("x", &tt::ttnn::MeshShapeAttr::getX);
+}
+} // namespace mlir::ttmlir::python

python/ttmlir/dialects/TTNNBinding.td

@@ -0,0 +1,10 @@
+// SPDX-FileCopyrightText: © 2024 Tenstorrent Inc.
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#ifndef PYTHON_BINDINGS_TTMLIR_TTNNOPS
+#define PYTHON_BINDINGS_TTMLIR_TTNNOPS
+
+include "ttmlir/Dialect/TTNN/IR/TTNNOps.td"
+
+#endif

python/ttmlir/dialects/TTNNEnumBinding.td

@@ -0,0 +1,10 @@
+// SPDX-FileCopyrightText: © 2024 Tenstorrent Inc.
+//
+// SPDX-License-Identifier: Apache-2.0
+
+#ifndef PYTHON_BINDINGS_TTMLIR_TTNNENUMS
+#define PYTHON_BINDINGS_TTMLIR_TTNNENUMS
+
+include "ttmlir/Dialect/TTNN/IR/TTNNOpsEnums.td"
+
+#endif

python/ttmlir/dialects/ttnn.py

@@ -0,0 +1,7 @@
+# SPDX-FileCopyrightText: (c) 2024 Tenstorrent AI ULC
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from ._ttnn_ops_gen import *
+from ._ttnn_enum_gen import *
+from .._mlir_libs._ttmlir import register_dialect, ttnn_ir as ir