diff options
Diffstat (limited to 'tensorflow/core/ops/nn_ops.cc')
| -rw-r--r-- | tensorflow/core/ops/nn_ops.cc | 8 |
1 files changed, 8 insertions, 0 deletions
diff --git a/tensorflow/core/ops/nn_ops.cc b/tensorflow/core/ops/nn_ops.cc index 910fbaca9e..d6a0f38033 100644 --- a/tensorflow/core/ops/nn_ops.cc +++ b/tensorflow/core/ops/nn_ops.cc @@ -1498,6 +1498,7 @@ REGISTER_OP("_MklConv2D") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .SetShapeFn(shape_inference::Conv2DShape) .Doc(R"doc( MKL version of Conv2D operator. Uses MKL DNN APIs to perform 2D convolution. @@ -1516,6 +1517,7 @@ REGISTER_OP("__MklDummyConv2DWithBias") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .Doc(R"doc( Dummy node that enables fusing Conv2D and BiasAdd operator for MKL. This node does not perform anything. It is just created as an intermediate output of @@ -1541,6 +1543,7 @@ REGISTER_OP("_MklConv2DWithBias") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .Doc(R"doc( MKL version of Conv2D and BiasAdd operator. Uses MKL DNN APIs to perform 2D convolution and add Bias to the output of convolution. @@ -1563,6 +1566,7 @@ REGISTER_OP("_MklConv2DBackpropFilter") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .SetShapeFn([](InferenceContext* c) { ShapeHandle s; TF_RETURN_IF_ERROR(c->MakeShapeFromShapeTensor(1, &s)); @@ -1589,6 +1593,7 @@ REGISTER_OP("__MklDummyConv2DBackpropFilterWithBias") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .SetShapeFn([](InferenceContext* c) { ShapeHandle input_shape; // Fetch the data_format attribute, which may not exist. @@ -1633,6 +1638,7 @@ REGISTER_OP("_MklConv2DBackpropFilterWithBias") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .SetShapeFn([](InferenceContext* c) { ShapeHandle input_shape; // Fetch the data_format attribute, which may not exist. @@ -1668,6 +1674,7 @@ REGISTER_OP("_MklConv2DWithBiasBackpropBias") .Attr("T: {half, float, double}") .Attr("strides: list(int)") .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .Doc(R"doc( MKL version of Conv2DBackpropBias. Uses MKL DNN APIs to compute the gradients of convolution with respect to the bias. @@ -1690,6 +1697,7 @@ REGISTER_OP("_MklConv2DBackpropInput") .Attr("use_cudnn_on_gpu: bool = true") .Attr(GetPaddingAttrString()) .Attr(GetConvnetDataFormatAttrString()) + .Attr("dilations: list(int) = [1, 1, 1, 1]") .SetShapeFn([](InferenceContext* c) { ShapeHandle s; TF_RETURN_IF_ERROR(c->MakeShapeFromShapeTensor(0, &s)); |