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Results 1 - 3 of 3 for 2x7x5x4xf32 (0.22 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir

      // CHECK: %[[v1:.*]] = "tf.Transpose"(%arg1, %[[cst_1]]) : (tensor<2x4x7x3xf32>, tensor<4xi32>) -> tensor<2x7x3x4xf32>
      // CHECK: "tf.BatchMatMulV2"(%[[v0]], %[[v1]]) <{adj_x = false, adj_y = false}> : (tensor<2x7x5x3xf32>, tensor<2x7x3x4xf32>) -> tensor<2x7x5x4xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 05 18:35:42 UTC 2024
    - 25.9K bytes
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  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/pipelines/process_nchw_tensor.mlir

    // CHECK: %[[ADD:.+]] = stablehlo.add %[[CONV]], %[[BIAS_CONST]] : tensor<1x5x5x4xf32>
    // CHECK: %[[MAX:.+]] = stablehlo.maximum %[[ADD]], %[[ZERO_CONST]] : tensor<1x5x5x4xf32>
    // CHECK: %[[TRANSPOSE_1:.+]] = stablehlo.transpose %[[MAX]], dims = [0, 3, 1, 2] : (tensor<1x5x5x4xf32>) -> tensor<1x4x5x5xf32>
    // CHECK: return %[[TRANSPOSE_1]]
    
    // -----
    
    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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  3. tensorflow/compiler/mlir/lite/tests/canonicalize.mlir

    }
    
    // -----
    
    func.func @trivial_dynamic_update_slice(%arg0: tensor<2x7x14xf32>, %arg1: tensor<2x7x14xf32>) -> tensor<2x7x14xf32> {
      %0 = arith.constant dense<0> : tensor<3xi32>
      %1 = "tfl.dynamic_update_slice"(%arg0, %arg1, %0) : (tensor<2x7x14xf32>, tensor<2x7x14xf32>, tensor<3xi32>) -> tensor<2x7x14xf32>
      // CHECK: return %arg1
      func.return %1 : tensor<2x7x14xf32>
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.6K bytes
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