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Results 1 - 3 of 3 for 100x28x28x1xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    // CHECK: return %[[ADDV2_0]] : tensor<15x28x28x1xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_sub
    func.func @conv2d_backprop_input_with_sub(%arg0: tensor<4xi32>, %arg1: tensor<3x3x1x32xf32>, %arg2: tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
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  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/nchw_convolution_to_nhwc.mlir

    // CHECK-LABEL: convolution_3d
    func.func @convolution_3d(%arg0: tensor<1x4x28x28x1xf32>, %arg1: tensor<2x3x3x1x16xf32>) -> tensor<1x3x26x26x16xf32> {
      %0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, 0, 1, 2, f]x[0, 1, 2, i, o]->[b, 0, 1, 2, f], window = {} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x28x28x1xf32>, tensor<2x3x3x1x16xf32>) -> tensor<1x3x26x26x16xf32>
      return %0 : tensor<1x3x26x26x16xf32>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 25 23:00:47 UTC 2024
    - 5.5K bytes
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  3. tensorflow/compiler/mlir/tensorflow/tests/order_by_dialect.mlir

      %2:2 = "tf.IteratorGetNext"(%0) {_class = ["loc:@iterator"], device = ""} : (tensor<!tf_type.resource>) -> (tensor<200x28x28x1xf32>, tensor<200x10xf32>)
      // CHECK: tf.Iterator
      // CHECK: tf.MakeIterator
      // CHECK: tf.IteratorGetNext
      return
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 7.6K bytes
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