pylint fix

Author: masahi

python/tvm/relay/op/strategy/hexagon.py

@@ -193,7 +193,6 @@ def schedule_reduce_hexagon(attrs, outs, target):
 def conv2d_NCHWc_strategy_hexagon(attrs, inputs, out_type, target):
     """conv2d_NCHWc_ hexagon strategy"""
     strategy = _op.OpStrategy()
-    data, kernel = inputs
     strategy.add_implementation(
         wrap_compute_conv2d(
             topi.hexagon.conv2d_NCHWc_int8, need_data_layout=True, need_out_layout=True

python/tvm/topi/hexagon/conv2d.py

@@ -14,14 +14,13 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
+# pylint: disable=invalid-name
 """Schedule for conv2d"""
 
 import tvm
 from tvm import te
 from .. import nn
 from ..utils import traverse_inline
-from tvm.topi.utils import get_const_tuple
 from .tensor_intrin import dot_vrmpy
 from ..generic import conv2d as conv2d_generic
 

python/tvm/topi/hexagon/dense.py

@@ -14,11 +14,11 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
+# pylint: disable=invalid-name
 """Schedule for dense operator"""
 
 import tvm
-from tvm.topi.utils import get_const_tuple, traverse_inline
+from tvm.topi.utils import traverse_inline
 from tvm import te
 from .. import tag
 from .tensor_intrin import dot_vrmpy

python/tvm/topi/hexagon/dense_alter_op.py

@@ -18,10 +18,7 @@
 """Dense alter op functions for ARM"""
 
 import tvm
-from tvm import te
 from tvm import relay
-from tvm import autotvm
-from ..utils import get_const_tuple
 from .. import nn
 from ..nn import dense_alter_layout
 
@@ -137,7 +134,7 @@ def _dense_legalize(attrs, inputs, arg_types):
             tvm.ir.tensor_type.TensorType([N + dn, arg_types[1].shape[1]], arg_types[1].dtype),
         ]
 
-        vrmpy_out = vrmpy_legalize(x, y_, arg_types, relay.nn.dense, new_attrs, False)
+        vrmpy_out = vrmpy_legalize(x, y_, arg_types, relay.nn.dense, new_attrs)
 
         if vrmpy_out is None:
             out_ = relay.nn.dense(x, y_, **new_attrs)
@@ -147,4 +144,4 @@ def _dense_legalize(attrs, inputs, arg_types):
         out = relay.strided_slice(out_, begin=[0, 0], end=[x.value for x in output_tensor.shape])
         return out
 
-    return vrmpy_legalize(inputs[0], inputs[1], arg_types, relay.nn.dense, attrs, False)
+    return vrmpy_legalize(inputs[0], inputs[1], arg_types, relay.nn.dense, attrs)

python/tvm/topi/hexagon/tensor_intrin.py

@@ -14,6 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+# pylint: disable=invalid-name
 """Optimized implementation of q_multiply_shift based on LLVM intrinsics"""
 
 import tvm

tests/python/contrib/test_hexagon/test_launcher.py

@@ -14,7 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
+# pylint: disable=invalid-name,missing-function-docstring
 """ Test rpc based launcher for hexagon """
 
 import numpy as np