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Results 1 - 3 of 3 for ragged_range (0.28 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/fuse-tftext.mlir 

      %2 = "tf.Const"() {value = dense<"x (NGrams/SlidingWindow/RaggedGetItem/RaggedRange:0) = "> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  %3 = "tf.Const"() {value = dense<"y (NGrams/SlidingWindow/RaggedGetItem_1/RaggedRange:0) = "> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir 

      %1 = "tf.AddV2"(%arg1, %cst_1) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<i32>, tensor<i32>) -> tensor<i32>
  %3 = "tf.RaggedTensorToVariant"(%arg7) {RAGGED_RANK = 0 : i64, Tsplits = i64, Tvalues = i32, batched_input = false, device = "/job:localhost/replica:0/task:0/device:CPU:0"} : (tensor<*xi32>) -> tensor<!tf_type.variant>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 23 06:40:22 UTC 2024
    - 68.6K bytes
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td 

    Outputs a `RaggedTensor` output composed from `output_dense_values` and
`output_nested_splits`, such that:

```python
output.shape = indices.shape + params.shape[1:]
output.ragged_rank = indices.shape.ndims + params.ragged_rank
output[i...j, d0...dn] = params[indices[i...j], d0...dn]
```

where

* `params =
   ragged.from_nested_row_splits(params_dense_values, params_nested_splits)`
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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