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Results 1 - 7 of 7 for SPARSE_TO_DENSE (0.27 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir 

        func.return %0: tensor<3x4xi32>
  }

  // CHECK-LABEL: @sparse_to_dense
  // CHECK-SAME: (%[[ARG0:.*]]: tensor<3x2xi32>, %[[ARG1:.*]]: tensor<3xf32>, %[[ARG2:.*]]: tensor<f32>)
  func.func @sparse_to_dense(%arg0: tensor<3x2xi32>, %arg1: tensor<3xf32>, %arg2: tensor<f32>) -> tensor<3x3xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 38.6K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

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

      MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,
  SQRT = 75,
  RSQRT = 76,
  SHAPE = 77,
  POW = 78,
  ARG_MIN = 79,
    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 

      MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,
  SQRT = 75,
  RSQRT = 76,
  SHAPE = 77,
  POW = 78,
  ARG_MIN = 79,
    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 

      MINIMUM = 57,
  LESS = 58,
  NEG = 59,
  PADV2 = 60,
  GREATER = 61,
  GREATER_EQUAL = 62,
  LESS_EQUAL = 63,
  SELECT = 64,
  SLICE = 65,
  SIN = 66,
  TRANSPOSE_CONV = 67,
  SPARSE_TO_DENSE = 68,
  TILE = 69,
  EXPAND_DIMS = 70,
  EQUAL = 71,
  NOT_EQUAL = 72,
  LOG = 73,
  SUM = 74,
  SQRT = 75,
  RSQRT = 76,
  SHAPE = 77,
  POW = 78,
  ARG_MIN = 79,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 03 18:01:23 UTC 2024
    - 41.7K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir 

      func.return %0 : tensor<?x?x?xf32>
  // CHECK-LABEL: sparse_to_dense_with_scalar_sparse_indices
  // CHECK: "tfl.sparse_to_dense"(%arg0, %arg1, %arg2, %arg3) : (tensor<i32>, tensor<3xi32>, tensor<f32>, tensor<f32>) -> tensor<?x?x?xf32>
}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/ir/tfl_ops.td 

      );

  let results = (outs
    TFL_TensorOf<[F32, TFL_Quint8, QUI8, QI8, QI16]>:$output
  );

  let hasOptions = 1;
}

def TFL_SparseToDenseOp : TFL_Op<"sparse_to_dense", [
    Pure,
    QuantizableResult,
    PredOpTrait<"sparse_values and dense must have same element type",
      TFL_TCresVTEtIsSameAsOp<0, 2>>,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 186K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/schema/schema_generated.h 

        "MINIMUM",
    "LESS",
    "NEG",
    "PADV2",
    "GREATER",
    "GREATER_EQUAL",
    "LESS_EQUAL",
    "SELECT",
    "SLICE",
    "SIN",
    "TRANSPOSE_CONV",
    "SPARSE_TO_DENSE",
    "TILE",
    "EXPAND_DIMS",
    "EQUAL",
    "NOT_EQUAL",
    "LOG",
    "SUM",
    "SQRT",
    "RSQRT",
    "SHAPE",
    "POW",
    "ARG_MIN",
    "FAKE_QUANT",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 18:21:50 UTC 2024
    - 1M bytes
    - Viewed (0)
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