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Results 1 - 2 of 2 for 1x2x3x4x5x5x7xf32 (0.2 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir 

      %r = "mhlo.concatenate"(%0, %1) <{dimension = 3 : i64}> : (tensor<1x2x3x4x5x5x7xf32>, tensor<1x2x3x100x5x5x7xf32>) -> tensor<1x2x3x104x5x5x7xf32>
  func.return %r : tensor<1x2x3x104x5x5x7xf32>

// CHECK:      %[[R0:.*]] = "mhlo.concatenate"(%arg0, %arg1) <{dimension = 5 : i64}> : (tensor<1x9x2x3x8x4x10xf32>, tensor<1x9x2x3x8x100x10xf32>) -> tensor<1x9x2x3x8x104x10xf32>
// CHECK:      %[[R1:.*]] = "mhlo.dot_general"(%[[R0]], %arg2) <{
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/canonicalize.mlir 

    func.func @OptimizeTranposeWithRank7orMoreEffectiveRank6(%arg0: tensor<7x6x5x4x3x2x1xf32> ) -> (tensor<1x2x3x4x5x6x7xf32>)  {
  %cst = arith.constant dense<[6, 5, 4, 3, 2, 1, 0]> : tensor<7xi32>
  %0 = "tfl.transpose"(%arg0, %cst) : (tensor<7x6x5x4x3x2x1xf32>, tensor<7xi32>) -> tensor<1x2x3x4x5x6x7xf32>
  return %0 : tensor<1x2x3x4x5x6x7xf32>
  // CHECK-DAG: %[[cst:.*]] = arith.constant dense<[7, 6, 5, 4, 3, 2]> : tensor<6xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
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