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author | 2016-06-30 19:29:45 -0800 | |
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committer | 2016-06-30 20:33:05 -0700 | |
commit | 5187b6c0be0d81f2b7c4c797d40d4ea5b2826b20 (patch) | |
tree | a95e73c4004f7b53440585c869f02d6a69debd90 | |
parent | 1c96204d913d5f27ec49acf4b58eb4623dd70da8 (diff) |
Automated rollback of change 126349886
Change: 126374056
-rw-r--r-- | tensorflow/core/ops/compat/ops_history.v0.pbtxt | 109 | ||||
-rw-r--r-- | tensorflow/core/ops/ops.pbtxt | 129 |
2 files changed, 0 insertions, 238 deletions
diff --git a/tensorflow/core/ops/compat/ops_history.v0.pbtxt b/tensorflow/core/ops/compat/ops_history.v0.pbtxt index 2dc59179b8..2dba61efe7 100644 --- a/tensorflow/core/ops/compat/ops_history.v0.pbtxt +++ b/tensorflow/core/ops/compat/ops_history.v0.pbtxt @@ -23174,115 +23174,6 @@ op { } } op { - name: "SparseSparseMaximum" - input_arg { - name: "a_indices" - type: DT_INT64 - } - input_arg { - name: "a_values" - type_attr: "T" - } - input_arg { - name: "a_shape" - type: DT_INT64 - } - input_arg { - name: "b_indices" - type: DT_INT64 - } - input_arg { - name: "b_values" - type_attr: "T" - } - input_arg { - name: "b_shape" - type: DT_INT64 - } - output_arg { - name: "output_indices" - type: DT_INT64 - } - output_arg { - name: "output_values" - type_attr: "T" - } - attr { - name: "T" - type: "type" - allowed_values { - list { - type: DT_FLOAT - type: DT_DOUBLE - type: DT_INT32 - type: DT_INT64 - type: DT_UINT8 - type: DT_INT16 - type: DT_INT8 - type: DT_UINT16 - type: DT_HALF - } - } - } -} -op { - name: "SparseSparseMinimum" - input_arg { - name: "a_indices" - type: DT_INT64 - } - input_arg { - name: "a_values" - type_attr: "T" - } - input_arg { - name: "a_shape" - type: DT_INT64 - } - input_arg { - name: "b_indices" - type: DT_INT64 - } - input_arg { - name: "b_values" - type_attr: "T" - } - input_arg { - name: "b_shape" - type: DT_INT64 - } - output_arg { - name: "output_indices" - type: DT_INT64 - } - output_arg { - name: "output_values" - type_attr: "T" - } - attr { - name: "T" - type: "type" - allowed_values { - list { - type: DT_FLOAT - type: DT_DOUBLE - type: DT_INT64 - type: DT_INT32 - type: DT_UINT8 - type: DT_UINT16 - type: DT_INT16 - type: DT_INT8 - type: DT_COMPLEX64 - type: DT_COMPLEX128 - type: DT_QINT8 - type: DT_QUINT8 - type: DT_QINT32 - type: DT_HALF - } - } - } -} -op { name: "SparseSplit" input_arg { name: "split_dim" diff --git a/tensorflow/core/ops/ops.pbtxt b/tensorflow/core/ops/ops.pbtxt index 3668ecf5aa..afd6507b0d 100644 --- a/tensorflow/core/ops/ops.pbtxt +++ b/tensorflow/core/ops/ops.pbtxt @@ -13697,135 +13697,6 @@ op { description: "Unlike `SoftmaxCrossEntropyWithLogits`, this operation does not accept\na matrix of label probabilities, but rather a single label per row\nof features. This label is considered to have probability 1.0 for the\ngiven row.\n\nInputs are the logits, not probabilities." } op { - name: "SparseSparseMaximum" - input_arg { - name: "a_indices" - description: "2-D. `N x R` matrix with the indices of non-empty values in a\nSparseTensor, in the canonical lexicographic ordering." - type: DT_INT64 - } - input_arg { - name: "a_values" - description: "1-D. `N` non-empty values corresponding to `a_indices`." - type_attr: "T" - } - input_arg { - name: "a_shape" - description: "1-D. Shape of the input SparseTensor." - type: DT_INT64 - } - input_arg { - name: "b_indices" - description: "counterpart to `a_indices` for the other operand." - type: DT_INT64 - } - input_arg { - name: "b_values" - description: "counterpart to `a_values` for the other operand; must be of the same dtype." - type_attr: "T" - } - input_arg { - name: "b_shape" - description: "counterpart to `a_shape` for the other operand; the two shapes must be equal." - type: DT_INT64 - } - output_arg { - name: "output_indices" - description: "2-D. The indices of the output SparseTensor." - type: DT_INT64 - } - output_arg { - name: "output_values" - description: "1-D. The values of the output SparseTensor." - type_attr: "T" - } - attr { - name: "T" - type: "type" - allowed_values { - list { - type: DT_FLOAT - type: DT_DOUBLE - type: DT_INT32 - type: DT_INT64 - type: DT_UINT8 - type: DT_INT16 - type: DT_INT8 - type: DT_UINT16 - type: DT_HALF - } - } - } - summary: "Returns the element-wise max of two SparseTensors." - description: "Assumes the two SparseTensors have the same shape, i.e., no broadcasting." -} -op { - name: "SparseSparseMinimum" - input_arg { - name: "a_indices" - description: "2-D. `N x R` matrix with the indices of non-empty values in a\nSparseTensor, in the canonical lexicographic ordering." - type: DT_INT64 - } - input_arg { - name: "a_values" - description: "1-D. `N` non-empty values corresponding to `a_indices`." - type_attr: "T" - } - input_arg { - name: "a_shape" - description: "1-D. Shape of the input SparseTensor." - type: DT_INT64 - } - input_arg { - name: "b_indices" - description: "counterpart to `a_indices` for the other operand." - type: DT_INT64 - } - input_arg { - name: "b_values" - description: "counterpart to `a_values` for the other operand; must be of the same dtype." - type_attr: "T" - } - input_arg { - name: "b_shape" - description: "counterpart to `a_shape` for the other operand; the two shapes must be equal." - type: DT_INT64 - } - output_arg { - name: "output_indices" - description: "2-D. The indices of the output SparseTensor." - type: DT_INT64 - } - output_arg { - name: "output_values" - description: "1-D. The values of the output SparseTensor." - type_attr: "T" - } - attr { - name: "T" - type: "type" - allowed_values { - list { - type: DT_FLOAT - type: DT_DOUBLE - type: DT_INT64 - type: DT_INT32 - type: DT_UINT8 - type: DT_UINT16 - type: DT_INT16 - type: DT_INT8 - type: DT_COMPLEX64 - type: DT_COMPLEX128 - type: DT_QINT8 - type: DT_QUINT8 - type: DT_QINT32 - type: DT_HALF - } - } - } - summary: "Returns the element-wise min of two SparseTensors." - description: "Assumes the two SparseTensors have the same shape, i.e., no broadcasting." -} -op { name: "SparseSplit" input_arg { name: "split_dim" |