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Results 1 - 3 of 3 for 7x4x3x8xf32 (0.28 sec)

  1. tensorflow/compiler/mlir/lite/tests/dilated-conv.mlir

      %2 = "tf.BatchToSpaceND"(%1, %cst, %cst_0) : (tensor<4x64x64x8xf32>, tensor<2xi32>, tensor<2x2xi32>) -> tensor<1x120x120x8xf32>
      func.return %2 : tensor<1x120x120x8xf32>
    
      // CHECK-LABEL: testDilatedConv
      // CHECK-SAME: ([[INPUT:%.*]]: tensor<1x128x128x3xf32>, [[FILTER:%.*]]: tensor<5x5x3x8xf32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 44.7K bytes
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  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir

      %0 = stablehlo.constant dense<2.000000e+00> : tensor<1x4x3x3xf32>
      %1 = stablehlo.transpose %arg0, dims = [0, 3, 1, 2] : (tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32>
      %2 = stablehlo.add %1, %0 : tensor<1x4x3x3xf32>
      return %2 : tensor<1x4x3x3xf32>
    }
    // CHECK-SAME: (%[[ARG_0:.+]]: tensor<1x3x3x4xf32>) -> tensor<1x4x3x3xf32>
    // CHECK-DAG: %[[CONST_0:.+]] = stablehlo.constant
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 14.6K bytes
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  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir

    // CHECK: %[[CONV:.+]] = stablehlo.convolution(%[[TRANSPOSE_0]], %[[CONST]]) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = {{\[\[}}1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x4x8xf32>, tensor<3x3x8x8xf32>) -> tensor<1x4x4x8xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 18 20:32:46 UTC 2024
    - 12.6K bytes
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