diff options
-rw-r--r-- | tensorflow/core/ops/compat/ops_history.v0.pbtxt | 88 | ||||
-rw-r--r-- | tensorflow/core/ops/ops.pbtxt | 108 |
2 files changed, 196 insertions, 0 deletions
diff --git a/tensorflow/core/ops/compat/ops_history.v0.pbtxt b/tensorflow/core/ops/compat/ops_history.v0.pbtxt index 3161194a67..1ecf97c467 100644 --- a/tensorflow/core/ops/compat/ops_history.v0.pbtxt +++ b/tensorflow/core/ops/compat/ops_history.v0.pbtxt @@ -7330,6 +7330,50 @@ op { } } op { + name: "Copy" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + } +} +op { + name: "CopyHost" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + } +} +op { name: "Cos" input_arg { name: "x" @@ -7643,6 +7687,50 @@ op { } } op { + name: "DebugIdentity" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + } +} +op { + name: "DebugNanCount" + input_arg { + name: "input" + type_attr: "T" + } + output_arg { + name: "output" + type: DT_INT64 + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + } +} +op { name: "DecodeCSV" input_arg { name: "records" diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index 544d9bc815..4dd04d8525 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -3816,6 +3816,60 @@ op { summary: "Computes the gradients of 3-D convolution with respect to the input." } op { + name: "Copy" + input_arg { + name: "input" + description: "Input tensor." + type_attr: "T" + } + output_arg { + name: "output" + description: "Output tensor, deep-copied from input." + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + description: "The name of the input tensor." + } + summary: "Copy Op." + description: "Performs CPU-to-CPU or GPU-to-GPU deep-copying of tensor, depending on the\ndevice on which the tensor is allocated.\n\nUnlike the CopyHost Op, this op does not have HostMemory constraint on its\ninput or output." +} +op { + name: "CopyHost" + input_arg { + name: "input" + description: "Input tensor." + type_attr: "T" + } + output_arg { + name: "output" + description: "Output tensor, deep-copied from input." + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + description: "The name of the input tensor." + } + summary: "Copy Host Op." + description: "Performs CPU-to-CPU deep-copying of tensor.\n\nUnlike the Copy Op, this op has HostMemory constraint on its input or output." +} +op { name: "Cos" input_arg { name: "x" @@ -4087,6 +4141,60 @@ op { description: "`a` and `b` must be the same shape; they can either be simple 3-element vectors,\nor any shape where the innermost dimension is 3. In the latter case, each pair\nof corresponding 3-element vectors is cross-multiplied independently." } op { + name: "DebugIdentity" + input_arg { + name: "input" + description: "Input tensor, non-Reference type." + type_attr: "T" + } + output_arg { + name: "output" + description: "Output tensor that equals the input tensor." + type_attr: "T" + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + description: "Name of the input tensor." + } + summary: "Debug Identity Op." + description: "Provides an identity mapping of the non-Ref type input tensor for debugging." +} +op { + name: "DebugNanCount" + input_arg { + name: "input" + description: "Input tensor, non-Reference type." + type_attr: "T" + } + output_arg { + name: "output" + description: "An integer output tensor that is the number of NaNs in the input." + type: DT_INT64 + } + attr { + name: "T" + type: "type" + } + attr { + name: "tensor_name" + type: "string" + default_value { + s: "" + } + description: "Name of the input tensor." + } + summary: "Debug NaN Value Counter Op" + description: "Counts number of NaNs in the input tensor, for debugging." +} +op { name: "DecodeCSV" input_arg { name: "records" |