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Results 1 - 3 of 3 for 5x2x3x4xf32 (0.15 sec)

  1. tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir

    func.func @NoPadStridedSliceNonNewAxisMask(%arg0: tensor<1x2x3x1xf32>) -> tensor<1x2x3x1xf32> {
      %cst = arith.constant dense<0> : tensor<4xi32>
      %cst_0 = arith.constant dense<1> : tensor<4xi32>
      %0 = "tf.StridedSlice"(%arg0, %cst, %cst, %cst_0) {begin_mask = 15 : i64, ellipsis_mask = 0 : i64, end_mask = 15 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 0 : i64} : (tensor<1x2x3x1xf32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) -> tensor<1x2x3x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
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  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir

      %4 = stablehlo.broadcast_in_dim %1, dims = [3] : (tensor<4xf32>) -> tensor<1x3x3x4xf32>
      %5 = stablehlo.add %3, %4 : tensor<1x3x3x4xf32>
      %6 = stablehlo.maximum %5, %2 : tensor<1x3x3x4xf32>
      func.return %6: tensor<1x3x3x4xf32>
    }
    // CHECK: %[[CONST_0:.*]] = stablehlo.constant dense<2.000000e+00>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 49.8K bytes
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  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir

        %0 = "tf.Div"(%arg0, %cst_3) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
        %1 = "tf.AddV2"(%0, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
        %2 = "tf.Maximum"(%1, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
        %3 = "tf.Minimum"(%2, %cst_5) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 81K bytes
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