enable pooling3D op

2 files changed, 35 insertions, 5 deletions

diff --git a/tensorflow/core/graph/mkl_layout_pass.cc b/tensorflow/core/graph/mkl_layout_pass.cc
index 5683944e46..30e48d3860 100644
--- a/tensorflow/core/graph/mkl_layout_pass.cc
+++ b/tensorflow/core/graph/mkl_layout_pass.cc
@@ -334,6 +334,7 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     rinfo_.push_back({csinfo_.conv2d_grad_input,
                       mkl_op_registry::GetMklOpName(csinfo_.conv2d_grad_input),
                       CopyAttrsConv2D, AlwaysRewrite, nullptr});
+
     rinfo_.push_back({csinfo_.fused_batch_norm,
                       mkl_op_registry::GetMklOpName(csinfo_.fused_batch_norm),
                       CopyAttrsFusedBatchNorm, AlwaysRewrite, nullptr});
@@ -546,14 +547,14 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
 
     // If Op has been specifically assigned to a non-CPU device, then No.
     if (!n->assigned_device_name().empty() &&
-        !str_util::StrContains(n->assigned_device_name(),kCPUDeviceSubStr)) {
+       !str_util::StrContains(n->assigned_device_name(), kCPUDeviceSubStr)) {
       result = false;
       reason = "Op has been assigned a runtime device that is not CPU.";
     }
 
     // If user has specifically assigned this op to a non-CPU device, then No.
     if (!n->def().device().empty() &&
-        !str_util::StrContains(n->def().device(),kCPUDeviceSubStr)) {
+       !str_util::StrContains(n->def().device(), kCPUDeviceSubStr)) {
       result = false;
       reason = "User has assigned a device that is not CPU.";
     }
@@ -2408,6 +2409,8 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     csinfo_.addn = "AddN";
     csinfo_.avg_pool = "AvgPool";
     csinfo_.avg_pool_grad = "AvgPoolGrad";
+    csinfo_.avg_pool3d = "AvgPool3D";
+    csinfo_.avg_pool3d_grad = "AvgPool3DGrad";
     csinfo_.bias_add = "BiasAdd";
     csinfo_.bias_add_grad = "BiasAddGrad";
     csinfo_.concat = "Concat";
@@ -2426,6 +2429,8 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     csinfo_.matmul = "MatMul";
     csinfo_.max_pool = "MaxPool";
     csinfo_.max_pool_grad = "MaxPoolGrad";
+    csinfo_.max_pool3d = "MaxPool3D";
+    csinfo_.max_pool3d_grad = "MaxPool3DGrad";
     csinfo_.mkl_conv2d = "_MklConv2D";
     csinfo_.mkl_conv2d_grad_input = "_MklConv2DBackpropInput";
     csinfo_.mkl_conv2d_grad_filter = "_MklConv2DBackpropFilter";
@@ -2460,6 +2465,12 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     rinfo_.push_back({csinfo_.avg_pool_grad,
                       mkl_op_registry::GetMklOpName(csinfo_.avg_pool_grad),
                       CopyAttrsPooling, AlwaysRewrite});
+    rinfo_.push_back({csinfo_.avg_pool3d,
+                      mkl_op_registry::GetMklOpName(csinfo_.avg_pool3d),
+                      CopyAttrsPooling, AlwaysRewrite});
+    rinfo_.push_back({csinfo_.avg_pool3d_grad,
+                      mkl_op_registry::GetMklOpName(csinfo_.avg_pool3d_grad),
+                      CopyAttrsPooling, AlwaysRewrite});
     rinfo_.push_back({csinfo_.concat,
                       mkl_op_registry::GetMklOpName(csinfo_.concat),
                       CopyAttrsConcat, AlwaysRewrite});
@@ -2501,7 +2512,12 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     rinfo_.push_back({csinfo_.max_pool_grad,
                       mkl_op_registry::GetMklOpName(csinfo_.max_pool_grad),
                       CopyAttrsPooling, MaxpoolGradRewrite});
-
+    rinfo_.push_back({csinfo_.max_pool3d,
+                      mkl_op_registry::GetMklOpName(csinfo_.max_pool3d),
+                      CopyAttrsPooling, NonDepthBatchWisePoolRewrite});
+    rinfo_.push_back({csinfo_.max_pool3d_grad,
+                      mkl_op_registry::GetMklOpName(csinfo_.max_pool3d_grad),
+                      CopyAttrsPooling, AlwaysRewrite});
     rinfo_.push_back({csinfo_.maximum,
                       mkl_op_registry::GetMklOpName(csinfo_.maximum),
                       CopyAttrsDataType, AlwaysRewrite});
@@ -2538,6 +2554,8 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     // Add info about which ops to add workspace edge to and the slots.
     wsinfo_.push_back({csinfo_.lrn, csinfo_.lrn_grad, 0, 2, 1, 3});
     wsinfo_.push_back({csinfo_.max_pool, csinfo_.max_pool_grad, 0, 1, 1, 3});
+    wsinfo_.push_back
+        ({csinfo_.max_pool3d, csinfo_.max_pool3d_grad, 0, 1, 1, 3});
 
     // Add a rule for merging nodes
     minfo_.push_back({csinfo_.conv2d, csinfo_.bias_add,
@@ -2605,6 +2623,8 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     string add;
     string avg_pool;
     string avg_pool_grad;
+    string avg_pool3d;
+    string avg_pool3d_grad;
     string bias_add;
     string bias_add_grad;
     string concat;
@@ -2622,6 +2642,8 @@ class MklLayoutRewritePass : public GraphOptimizationPass {
     string matmul;
     string max_pool;
     string max_pool_grad;
+    string max_pool3d;
+    string max_pool3d_grad;
     string maximum;
     string mkl_conv2d;
     string mkl_conv2d_grad_input;
diff --git a/tensorflow/core/graph/mkl_tfconversion_pass.cc b/tensorflow/core/graph/mkl_tfconversion_pass.cc
index aa39af637f..b67a321fc1 100644
--- a/tensorflow/core/graph/mkl_tfconversion_pass.cc
+++ b/tensorflow/core/graph/mkl_tfconversion_pass.cc
@@ -175,7 +175,11 @@ Status MklToTfConversionPass::InsertConversionNodeOnEdge(
           .Finalize(&**g, &conversion_node));
 
   CHECK_NOTNULL(conversion_node);
-  if (GetNodeAttr(src->def(), "data_format", &data_format) == Status::OK()) {
+  // TODO(Intel-tf) MklToTf accepts only NHWC or NCHW, but doesn't seem to be
+  // using data_format. This code might be redundant.
+  if (GetNodeAttr(src->def(), "data_format", &data_format) == Status::OK() &&
+      (data_format == ToString(FORMAT_NHWC) ||
+       data_format == ToString(FORMAT_NCHW))) {
     conversion_node->AddAttr("data_format", data_format);
   }
 
@@ -254,9 +258,13 @@ Status MklToTfConversionPass::InsertInputConversionNode(
     }
   }
 
+  // TODO(Intel-tf) MklInputConversion accepts only NHWC or NCHW, but doesn't
+  // seem to be using data_format. This code might be redundant.
   string data_format;
   if (GetNodeAttr(edges[0]->src()->def(), "data_format", &data_format) ==
-      Status::OK()) {
+          Status::OK() &&
+      (data_format == ToString(FORMAT_NHWC) ||
+       data_format == ToString(FORMAT_NCHW))) {
     conversion_node->AddAttr("data_format", data_format);
   }