[microNPU][2c] Add performance modelling to cascader

python/tvm/contrib/ethosu/cascader/__init__.py

@@ -20,14 +20,17 @@
 for both performance and memory usage on Arm(R) Ethos(TM)-U NPUs.
 """
 from .stripe_config import StripeConfig
+from .block_config import BlockConfig
 from .propagator import Propagator
 from .graph import (
     PerformanceInfo,
     Tensor,
     Part,
     TESubgraph,
     CascaderGraph,
+    BufferMode,
     register_matcher,
     create_cascader_graph,
 )
 from .parts import InlinePart, EthosuPart
+from .device_config import EthosuDeviceConfig

python/tvm/contrib/ethosu/cascader/block_config.py

@@ -0,0 +1,49 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+# pylint: disable=invalid-name
+"""Block config to hold an output block shape and a corresponding input block shape"""
+from typing import List
+import tvm._ffi
+
+from tvm.runtime import Object
+
+from . import _ffi_api
+
+
+@tvm._ffi.register_object("contrib.ethosu.cascader.BlockConfig")
+class BlockConfig(Object):
+    """BlockConfig class"""
+
+    def __init__(self, output_shape: List[int], compute_cycles: int, output_cycles: int):
+        self.__init_handle_by_constructor__(
+            _ffi_api.BlockConfig, output_shape, compute_cycles, output_cycles
+        )
+
+    @property
+    def output_shape(self) -> List[int]:
+        return list(self._output_shape)
+
+    @property
+    def compute_cycles(self) -> int:
+        return int(self._compute_cycles)
+
+    @property
+    def output_cycles(self) -> int:
+        return int(self._output_cycles)
+
+    def __repr__(self) -> str:
+        return f"BlockConfig(output_shape={self.output_shape})"