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Results 1 - 4 of 4 for dimension_type (0.51 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/transforms/dense_to_sparse.cc 

                  builder->getContext(), ::mlir::TFL::DimensionType::DENSE),
          metadata[2 * i][0], {}, {});
    } else {
      dim_metadata[i] = DimensionMetadataAttr::get(
          builder->getContext(),
          ::mlir::TFL::DimensionTypeAttr::get(
              builder->getContext(), ::mlir::TFL::DimensionType::SPARSE_CSR),
          0, metadata[2 * i], metadata[2 * i + 1]);
    }
  }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 16.1K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/test_schema.fbs 

      format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to
  //     store the size of that dimension. Each index in that dimension is
  //     stored implicitly.
  //   - If format is DimensionType.SPARSE_CSR then we use array_segments and
  //     array_indices to encode that dimension. array_segments represents how
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Apr 19 19:46:06 UTC 2021
    - 26.1K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs 

      format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to
  //     store the size of that dimension. Each index in that dimension is
  //     stored implicitly.
  //   - If format is DimensionType.SPARSE_CSR then we use array_segments and
  //     array_indices to encode that dimension. array_segments represents how
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 14:28:27 UTC 2024
    - 30K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/schema/schema.fbs 

      format:DimensionType;
  // Index metadata used for a dimension.
  //   - If format is DimensionType.DENSE then we use the dense_size field to
  //     store the size of that dimension. Each index in that dimension is
  //     stored implicitly.
  //   - If format is DimensionType.SPARSE_CSR then we use array_segments and
  //     array_indices to encode that dimension. array_segments represents how
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 03 18:01:23 UTC 2024
    - 41.7K bytes
    - Viewed (0)
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