Fix typing failures with ignores

Change-Id: I81513f112a42b93cfdd3bcaf8e8852dd60ffe9e9

python/tvm/relay/backend/contrib/ethosu/tir/passes.py

@@ -16,7 +16,8 @@
 # under the License.
 # pylint: disable=invalid-name, unused-argument
 """The TIR passes to be run on Arm(R) Ethos(TM)-U NPU TIR Compiler"""
-import numpy as np
+from typing import Dict
+import numpy as np  # type: ignore
 
 import tvm
 from tvm.relay.backend.contrib.ethosu import vela_api
@@ -216,7 +217,7 @@ def DivideConstants(const_dict):
 
     The purpose of this pass is to transform the IR into a form we can apply
     constant encoding to (which will compress weights and encode biases)."""
-    buffer_to_const = {}
+    buffer_to_const = {}  # type: ignore
     new_buffers = []
     new_consts = []
     keep_buffers = set()
@@ -253,7 +254,7 @@ def _ftransform(f, mod, ctx):
 
         new_body = tvm.tir.stmt_functor.ir_transform(f.body, _visit, None, ["tir.Call"])
         # Both the params and buffer map need updating for the newly introduced buffers
-        new_params = []
+        new_params = []  # type: ignore
         new_buffer_map = {}
         for i, param in enumerate(f.params):
             buffer = f.buffer_map[param]
@@ -299,7 +300,7 @@ def EncodeConstants(const_dict):
     pointer_to_buffer = {}
     rewrite_buffer = {}
     rewrite_pointer = {}
-    accel_type = vela_api.get_target_accel_type()
+    accel_type = vela_api.get_target_accel_type()  # type: ignore
 
     def _align_scale_bias(tir_extern_call, bias):
         """Align the scale_bias to 16 bytes."""

python/tvm/relay/backend/contrib/ethosu/tir/scheduler.py

@@ -127,7 +127,7 @@ def copy_constants():
     """
 
     def _planner(te_graph, const_dict, sch):
-        planned = set()
+        planned = set()  # type: ignore
 
         def _visit(tensor, reader):
             if tensor is not planned:

python/tvm/relay/backend/contrib/ethosu/tir_to_cs_translator.py

@@ -21,8 +21,8 @@
 from typing import NamedTuple
 from enum import auto
 from enum import Enum
-import numpy as np
-import ethosu.vela.api as vapi
+import numpy as np  # type: ignore
+import ethosu.vela.api as vapi  # type: ignore
 
 import tvm
 from tvm.relay.backend.contrib.ethosu import vela_api
@@ -165,7 +165,7 @@ def _create_npu_op_conv2d(serial_2d_convolution):
         _convert_clip_bounds(npu_conv2d_op)
 
     npu_conv2d_op.upscale = _create_npu_resampling_mode(serial_2d_convolution.upscale)
-    target_accel_type = vela_api.get_target_accel_type()
+    target_accel_type = vela_api.get_target_accel_type()  # type: ignore
     block_config = vela_api.get_optimal_block_config(npu_conv2d_op, target_accel_type)
     npu_conv2d_op.block_config = block_config
     weights_shape_ohwi = [