Fix concat and slice aix < 0 bug.

mace/ops/deconv_2d_benchmark.cc

@@ -114,8 +114,8 @@ static void Deconv2d(int iters,
     BM_DECONV_2D_##N##_##C##_##H##_##W##_##KH##_##KW##_##STRIDE##_##OH##_##OW##\
     _##P##_##OC##_##TYPE##_##DEVICE)
 
+// TODO(liutuo): add cpu benchmark when optimized.
 #define BM_DECONV_2D(N, C, H, W, KH, KW, S, OH, OW, P, OC)                 \
-  BM_DECONV_2D_MACRO(N, C, H, W, KH, KW, S, OH, OW, P, OC, float, CPU);    \
   BM_DECONV_2D_MACRO(N, C, H, W, KH, KW, S, OH, OW, P, OC, float, GPU); \
   BM_DECONV_2D_MACRO(N, C, H, W, KH, KW, S, OH, OW, P, OC, half, GPU);
 

mace/python/tools/converter_tool/caffe_converter.py

@@ -482,6 +482,7 @@ class CaffeConverter(base_converter.ConverterInterface):
             axis_arg.i = param.axis
         elif param.HasField('concat_dim'):
             axis_arg.i = param.concat_dim
+        axis_arg.i = 4 + axis_arg.i if axis_arg.i < 0 else axis_arg.i
         mace_check(axis_arg.i == 1, "only support concat at channel dimension")
 
     def convert_slice(self, caffe_op):
@@ -490,7 +491,8 @@ class CaffeConverter(base_converter.ConverterInterface):
 
         if caffe_op.layer.HasField('slice_param'):
             param = caffe_op.layer.slice_param
-            mace_check(not param.HasField('axis') or param.axis == 1,
+            mace_check(not param.HasField('axis') or param.axis == 1
+                       or param.axis == -3,
                        "Mace do not support slice with axis %d" % param.axis)
             mace_check(len(param.slice_point) == 0,
                        "Mace do not support slice with slice_point")
@@ -503,7 +505,8 @@ class CaffeConverter(base_converter.ConverterInterface):
         param = caffe_op.layer.inner_product_param
         op.type = MaceOp.FullyConnected.name
 
-        mace_check(param.axis == 1 and not param.transpose,
+        mace_check((param.axis == 1 or param.axis == -3)
+                   and not param.transpose,
                    "Do not support non-default axis and transpose")
         mace_check(caffe_op.blobs[0].ndim in [2, 4],
                    "Unexpected fc weigth ndim.")

mace/python/tools/converter_tool/tensorflow_converter.py

@@ -404,6 +404,7 @@ class TensorflowConverter(base_converter.ConverterInterface):
         axis_arg = op.arg.add()
         axis_arg.name = MaceKeyword.mace_axis_str
         axis = tf_op.inputs[-1].eval().astype(np.int32)
+        axis = 4 + axis if axis < 0 else axis
         axis_arg.i = axis
 
         mace_check(axis == 3, "only support concat at channel dimension")

mace/python/tools/converter_tool/transformer.py

@@ -459,7 +459,7 @@ class Transformer(base_converter.ConverterInterface):
                         padding_arg.i = ConverterUtil.get_arg(
                             op, MaceKeyword.mace_padding_str).i
                     elif ConverterUtil.get_arg(
-                            op, MaceKeyword.mace_padding_values_str)\
+                            op, MaceKeyword.mace_padding_values_str) \
                             is not None:
                         padding_arg = wt_op.arg.add()
                         padding_arg.name = MaceKeyword.mace_padding_values_str
@@ -687,7 +687,7 @@ class Transformer(base_converter.ConverterInterface):
                         or op.type == MaceOp.Deconv2D.name \
                         or op.type == MaceOp.DepthwiseConv2d.name:
                     if ConverterUtil.get_arg(
-                            op, MaceKeyword.mace_winograd_filter_transformed)\
+                            op, MaceKeyword.mace_winograd_filter_transformed) \
                             is None:
                         filter = self._consts[op.input[1]]
                         filter_data = np.array(filter.float_data).reshape(