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Results 1 - 3 of 3 for 2x5x1x7xf32 (0.25 sec)

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

    // CHECK:           })
    // CHECK-SAME:        -> tensor<2x4x6x7xf32>
    // CHECK:           %[[RESULT:.*]] = mhlo.divide %[[DIVIDEND]], %[[DIVISOR]] : tensor<2x4x6x7xf32>
    // CHECK:           return %[[RESULT]] : tensor<2x4x6x7xf32>
    // CHECK:         }
    func.func @avgpool_same_padding(%arg0: tensor<2x12x21x7xf32>) -> tensor<2x4x6x7xf32> {
    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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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir

    // CHECK:           %[[VAL_12:.*]] = "tf.Reshape"(%[[VAL_10]], %[[VAL_11]]) : (tensor<3x5x4xf32>, tensor<4xi64>) -> tensor<3x5x1x4xf32>
    // CHECK:           return %[[VAL_12]] : tensor<3x5x1x4xf32>
    // CHECK:         }
    func.func @convert_dot_general(%arg0: tensor<3x2x6x5x1xf32>, %arg1: tensor<3x2x4x6xf32>) -> tensor<3x5x1x4xf32> {
      %0 = "mhlo.dot_general"(%arg0, %arg1) {
        dot_dimension_numbers = #mhlo.dot<
    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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  3. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %cst1 = arith.constant dense<1.0> : tensor<2xf32>
      %cst2 = arith.constant dense<2.0> : tensor<1x112x112x2xf32>
      %0 = "tfl.conv_2d"(%arg0, %cst0, %cst1) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 1 : i32, stride_w = 1 : i32} : (tensor<1x112x112x2xf32>, tensor<2x1x1x2xf32>, tensor<2xf32>) -> tensor<1x112x112x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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