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Results 1 - 3 of 3 for 1000x2xf32 (0.11 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir 

    // CHECK:       }
}

// -----

module {
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

      %r3 = "tf.Reshape"(%arg2, %shape1) : (tensor<10000xf32>, tensor<2xi32>) -> tensor<100x100xf32>
  %shape3 = arith.constant dense<[-1, 100]> : tensor<2xi32>
  %r4 = "tf.Reshape"(%arg2, %shape3) : (tensor<10000xf32>, tensor<2xi32>) -> tensor<100x100xf32>
  %r5 = "tf.Reshape"(%arg0, %arg3) : (tensor<*xf32>, tensor<*xi32>) -> tensor<*xf32>
  %r6 = "tf.Reshape"(%arg2, %arg3) : (tensor<10000xf32>, tensor<*xi32>) -> tensor<*xf32>
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  4. github.com/tensorflow/tensorflow

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

    }

func.func @scatterNdVectorIndices(%arg0: tensor<5x1xi32>, %arg1: tensor<5x3x2xf32>) -> tensor<10x3x2xf32> {
  %cst = "tf.Const"() { value = dense<[10, 3, 2]> : tensor<3xi32> } : () -> tensor<3xi32>
  %1 = "tf.ScatterNd"(%arg0, %arg1, %cst) : (tensor<5x1xi32>, tensor<5x3x2xf32>, tensor<3xi32>) -> tensor<10x3x2xf32>
  func.return %1 : tensor<10x3x2xf32>

// CHECK-LABEL:scatterNdVectorIndices
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