[microNPU] Update Conv2D Tests to Use TF API to Gen Test Cases (apach…

…e#9508)

* Current conv2d tests compare the conv2d operator against tvm's execution of the default schedule of conv2d as defined in TOPI and that is not bitexact with tflite runtime's implemention. Therefore a tolerance of "1" in quantized 8-bit domain is used.

* Converts the current conv2d tests to use TensorFlow APIs to create a test cases for conv2D and compare against TFLite runtime.

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

@@ -18,7 +18,6 @@
 from . import util
 from . import legalize
 from . import preprocess
-from . import errors
 from . import codegen
 from . import vela_api
 from . import tir_to_cs_translator

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

@@ -30,7 +30,6 @@
 from tvm.relay.dataflow_pattern import rewrite
 from tvm.relay.dataflow_pattern import CallPattern
 from tvm.relay.backend.contrib.ethosu import op as ethosu_ops  # type: ignore
-from tvm.relay.backend.contrib.ethosu.errors import UnsupportedLayout  # type: ignore
 from tvm.relay.backend.contrib.ethosu import vela_api
 from tvm.relay.backend.contrib.ethosu import util
 from tvm.relay.op.contrib import ethosu as ethosu_patterns  # type: ignore
@@ -266,8 +265,6 @@ def callback(
         channels_map = {
             "NHWC": 3,
         }
-        if str(params.ofm.layout) not in channels_map.keys():
-            raise UnsupportedLayout(str(params.ofm.layout))
         kernel_size_map = {
             "HWIO": params.weights.shape[0:2],
             "OHWI": params.weights.shape[1:3],