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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2018-03-15 15:44:56 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-03-15 15:49:01 -0700 |
| commit | 1e75c69339da2fbf2c5c5fbeb891243badae7ff8 (patch) | |
| tree | 81268169bbff6836bfbbd4e9866a1374f597a624 /tensorflow/core/ops/nn_ops.cc | |
| parent | 6c62e650252ab32f83637a8de6720e73ffeca226 (diff) | |
Automated g4 rollback of changelist 189231636
PiperOrigin-RevId: 189258641
Diffstat (limited to 'tensorflow/core/ops/nn_ops.cc')
| -rw-r--r-- | tensorflow/core/ops/nn_ops.cc | 8 |
1 files changed, 0 insertions, 8 deletions
diff --git a/tensorflow/core/ops/nn_ops.cc b/tensorflow/core/ops/nn_ops.cc index d6a0f38033..910fbaca9e 100644 --- a/tensorflow/core/ops/nn_ops.cc +++ b/tensorflow/core/ops/nn_ops.cc @@ -1498,7 +1498,6 @@ 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. @@ -1517,7 +1516,6 @@ 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 @@ -1543,7 +1541,6 @@ 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. @@ -1566,7 +1563,6 @@ 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)); @@ -1593,7 +1589,6 @@ 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. @@ -1638,7 +1633,6 @@ 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. @@ -1674,7 +1668,6 @@ 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. @@ -1697,7 +1690,6 @@ 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)); |