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Results 1 - 3 of 3 for arg32 (0.13 sec)

  2. github.com/tensorflow/tensorflow

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

      // CHECK: "mhlo.batch_norm_inference"({{.*}}, %arg1, %arg2, %arg3, %arg4) <{epsilon = 1.000000e-03 : f32, feature_index = 3 : i64}> : (tensor<8x8x8x8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>, tensor<8xf32>) -> tensor<8x8x8x8xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
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  3. github.com/tensorflow/tensorflow

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

      // CHECK-DAG:  %0 = "tfl.pseudo_const"() <{value = dense<1> : tensor<i32>}> : () -> tensor<i32>
  // CHECK:  %1 = tfl.add(%arg2, %0) <{fused_activation_function = "NONE"}> : (tensor<1xi32>, tensor<i32>) -> tensor<1xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc 

    //   %4 = mhlo.constant dense<0.000000e+00> : tensor<f32>
//   %5 = "mhlo.broadcast"(%4)
//   %6 = "mhlo.select"(%3, %input, %5)
//   %7 = "mhlo.reduce"(%6, %4) ({
//   ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>):
//     %9 = mhlo.add %arg1, %arg2 : tensor<f32>
//     "mhlo.return"(%9) : (tensor<f32>) -> ()
//   }) {dimensions = dense<0> : tensor<1xi64>}
//
// If the input's rank N is greater than 2, we will reshape it to R2 first and
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
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