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Results 1 - 4 of 4 for 2x3x3x3x2xi32 (0.24 sec)

  1. tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir

        %7 = "tf.Identity"(%cst_1) {device = ""} : (tensor<2x3x3x3x2xi8>) -> tensor<2x3x3x3x2xi8>
        %8 = "tf.Cast"(%7) {Truncate = false, device = ""} : (tensor<2x3x3x3x2xi8>) -> tensor<2x3x3x3x2xi32>
        %9 = "tf.Cast"(%6) {Truncate = false, device = ""} : (tensor<1x3x4x3x3xi32>) -> tensor<1x3x4x3x3xf32>
        %10 = "tf.Cast"(%8) {Truncate = false, device = ""} : (tensor<2x3x3x3x2xi32>) -> tensor<2x3x3x3x2xf32>
    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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  2. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir

      %cst = "tf.Const"() {device = "", value = dense<1.0> : tensor<2x3x3x3x2xf32>} : () -> tensor<2x3x3x3x2xf32>
      %0 = "tf.Conv3D"(%arg0, %cst) {
        data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]
      } : (tensor<1x3x4x3x3xf32>, tensor<2x3x3x3x2xf32>) -> tensor<1x3x2x3x2xf32>
      %1 = "tf.Relu"(%0) {device = ""} : (tensor<1x3x2x3x2xf32>) -> tensor<1x3x2x3x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.5K bytes
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  3. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir

      %cst = "tf.Const"() {device = "", value = dense<1.0> : tensor<2x3x3x3x2xf32>} : () -> tensor<2x3x3x3x2xf32>
      %0 = "tf.Conv3D"(%arg0, %cst) {
        data_format = "NDHWC", device = "", dilations = [1, 1, 1, 1, 1], padding = "SAME", strides = [1, 1, 2, 1, 1]
      } : (tensor<1x3x4x3x3xf32>, tensor<2x3x3x3x2xf32>) -> tensor<1x3x2x3x2xf32>
      %1 = "tf.Relu"(%0) {device = ""} : (tensor<1x3x2x3x2xf32>) -> tensor<1x3x2x3x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.8K bytes
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  4. tensorflow/compiler/mlir/lite/tests/ops.mlir

      func.return %0 : tensor<?x?x?x?x?xf32>
    }
    
    // -----
    
    func.func @testConv3dMisMatchInputType(%arg0: tensor<2x3x4x5x2xi32>,%arg1:  tensor<2x2x2x2x3xf32>,%arg2: tensor<3xf32>) -> tensor<?x?x?x?x?xf32> {
      // expected-error @+1 {{op failed to verify that input and output must have same element type}}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
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