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Results 1 - 3 of 3 for 1x4x4xi1 (0.08 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir 

        // CHECK-NEXT: %[[CMP:.*]] = mhlo.compare GT, %[[INP:.*]], %[[ZERO]], NOTYPE : (tensor<1x4x4xf32>, tensor<1x4x4xf32>) -> tensor<1x4x4xi1>
    // CHECK-NEXT: %[[RES:.*]] = mhlo.select %[[CMP]], %[[GRADIENT]], %[[LEAKYGRAD]] : tensor<1x4x4xi1>, tensor<1x4x4xf32>
    // CHECK-NEXT: return %[[RES]] : tensor<1x4x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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  3. github.com/tensorflow/tensorflow

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

    // CHECK:           %[[VAL_0:.*]] = "tf.All"(%[[ARG_0]], %[[DIMENSIONS]]) <{keep_dims = false}> : (tensor<1x2x3x4x5xi1>, tensor<2xi64>) -> tensor<2x4x5xi1>
// CHECK:           return %[[VAL_0:.*]] : tensor<2x4x5xi1>
// CHECK:         }
func.func @convert_reduce_to_all(%arg0: tensor<1x2x3x4x5xi1>, %arg1: tensor<2xi64>) -> tensor<2x4x5xi1> {
  %0 = mhlo.constant dense<true> : tensor<i1>
  %1 = "mhlo.reduce"(%arg0, %0) ({
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
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  4. github.com/tensorflow/tensorflow

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

      %axis_0 = arith.constant dense<0> : tensor<1xi32>
  %axis_1 = arith.constant dense<1> : tensor<1xi32>
  %axis_2 = arith.constant dense<2> : tensor<1xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
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