[CPU] Added improvements for StridedSlice

inference-engine/src/mkldnn_plugin/mkldnn_exec_network.cpp

@@ -421,7 +421,6 @@ bool MKLDNNExecNetwork::CanProcessDynBatch(const InferenceEngine::CNNNetwork &ne
             type != Split &&
             type != Concatenation &&
             type != Eltwise &&
-            type != Crop &&
             type != BatchNormalization &&
             type != Copy) {
             check_result = false;

inference-engine/src/mkldnn_plugin/mkldnn_node.cpp

@@ -16,7 +16,6 @@
 #include <nodes/mkldnn_batchnorm_node.h>
 #include <nodes/mkldnn_concat_node.h>
 #include <nodes/mkldnn_conv_node.h>
-#include <nodes/mkldnn_crop_node.h>
 #include <nodes/mkldnn_deconv_node.h>
 #include <nodes/mkldnn_eltwise_node.h>
 #include <nodes/mkldnn_gemm_node.h>
@@ -39,6 +38,7 @@
 #include <nodes/mkldnn_tensoriterator_node.h>
 #include <nodes/mkldnn_scatter_update_node.h>
 #include <nodes/mkldnn_interpolate_node.h>
+#include <nodes/mkldnn_strided_slice_node.h>
 #include <mkldnn_types.h>
 #include <dnnl_types.h>
 #include "mkldnn_extension_utils.h"
@@ -93,7 +93,6 @@ static const InferenceEngine::details::caseless_unordered_map<std::string, Type>
         { "Eltwise", Eltwise },
         { "Mod", Eltwise },
         { "Power", Eltwise },
-        { "Crop", Crop },
         { "Reshape", Reshape },
         { "Tile", Tile },
         { "SimplerNMS", SimplerNMS },
@@ -103,6 +102,7 @@ static const InferenceEngine::details::caseless_unordered_map<std::string, Type>
         { "Flatten", Flatten },
         { "Pad", Pad },
         { "Permute", Permute },
+        { "StridedSlice", StridedSlice },
         { "Copy", Copy },
         { "LSTMCell", RNNCell },
         { "GRUCell", RNNCell },

inference-engine/src/mkldnn_plugin/mkldnn_node.h

@@ -48,7 +48,6 @@ enum Type {
     Concatenation,
     Eltwise,
     Gemm,
-    Crop,
     Reshape,
     Tile,
     SimplerNMS,
@@ -58,6 +57,7 @@ enum Type {
     Flatten,
     Pad,
     Permute,
+    StridedSlice,
     Copy,
     MemoryOutput,
     MemoryInput,
@@ -122,8 +122,6 @@ static std::string NameFromType(Type type) {
             return "Concatenation";
         case Depthwise:
             return "Depthwise";
-        case Crop:
-            return "Crop";
         case Reshape:
             return "Reshape";
         case Tile:
@@ -142,6 +140,8 @@ static std::string NameFromType(Type type) {
             return "Pad";
         case Permute:
             return "Permute";
+        case StridedSlice:
+            return "StridedSlice";
         case Copy:
             return "Copy";
         case MemoryOutput:

inference-engine/src/mkldnn_plugin/mkldnn_plugin.cpp

@@ -26,6 +26,7 @@
 #include <legacy/transformations/convert_opset1_to_legacy/reshape_fully_connected.hpp>
 #include <legacy/transformations/convert_opset1_to_legacy/convert_nms_5_to_legacy.hpp>
 #include <legacy/transformations/convert_opset1_to_legacy/convert_interpolate_to_interp_or_resample.hpp>
+#include <legacy/transformations/convert_opset1_to_legacy/convert_strided_slice_to_crop.hpp>
 #include <legacy/ngraph_ops/fully_connected.hpp>
 
 #include <transformations/opset_conversions/convert_opset3_to_opset2.hpp>
@@ -333,6 +334,7 @@ static void Transformation(CNNNetwork& clonedNetwork, const Config& conf) {
     legacyManager.register_pass<ngraph::pass::UnrollTensorIterator>();
 
     auto legacyPassConfig = legacyManager.get_pass_config();
+    legacyPassConfig->disable<ngraph::pass::ConvertStridedSliceToCropMatcher>();
 
     legacyPassConfig->set_callback<ngraph::pass::FakeQuantizeDecomposition>([](const_node_ptr &node) -> bool {
         return !MKLDNNQuantizeNode::isNeedToDecompose(node);

inference-engine/src/mkldnn_plugin/nodes/list_tbl.hpp

@@ -41,7 +41,6 @@ MKLDNN_EXTENSION_NODE(ReverseSequenceImpl, ReverseSequence);
 MKLDNN_EXTENSION_NODE(DetectionOutputImpl, DetectionOutput);
 MKLDNN_EXTENSION_NODE(ArgMaxImpl, ArgMax);
 MKLDNN_EXTENSION_NODE(UnsqueezeImpl, Unsqueeze);
-MKLDNN_EXTENSION_NODE(StridedSliceImpl, StridedSlice);
 MKLDNN_EXTENSION_NODE(ExperimentalDetectronDetectionOutputImpl, ExperimentalDetectronDetectionOutput);
 MKLDNN_EXTENSION_NODE(RegionYoloImpl, RegionYolo);
 MKLDNN_EXTENSION_NODE(LogSoftmaxImpl, LogSoftmax);

inference-engine/src/mkldnn_plugin/nodes/mkldnn_pad_node.cpp

@@ -239,10 +239,12 @@ static inline size_t parallel_init(size_t start, size_t nDims, const SizeVector&
 }
 
 static inline void parallel_step(size_t nDims, const SizeVector& dims, SizeVector& indexes) {
-    for (int j = nDims - 1; j >= 0; j--) {
-        indexes[j] = (indexes[j] + 1) % dims[j];
-        if (indexes[j] != 0)
-            return;
+    for (int j = nDims - 1; j >= 0; --j) {
+        ++indexes[j];
+        if (indexes[j] < dims[j])
+            break;
+        else
+            indexes[j] = 0;
     }
 }