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Results 1 - 10 of 12 for 2x1x512xf32 (0.15 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir

      %2 = "mhlo.slice"(%arg0) <{limit_indices = dense<[3, 1, 512]> : tensor<3xi64>, start_indices = dense<[2, 0, 0]> : tensor<3xi64>, strides = dense<1> : tensor<3xi64>}> : (tensor<3x1x512xf32>) -> tensor<1x1x512xf32>
      %r = "mhlo.concatenate"(%0, %1, %2) <{dimension = 0 : i64}> : (tensor<1x1x512xf32>, tensor<1x1x512xf32>, tensor<1x1x512xf32>) -> tensor<3x1x512xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 22.7K bytes
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  2. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/fallback.mlir

      func.return %result : tensor<1x1x512xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 00:18:59 UTC 2024
    - 9.1K bytes
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  3. tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir

    // CHECK: %[[v1:.*]] = "tf.BatchMatMulV2"(%[[v0]], %arg1) <{adj_x = false, adj_y = false}> : (tensor<2x1x11xf32>, tensor<2x11x2xf32>) -> tensor<2x1x2xf32>
    // CHECK: %[[v2:.*]] = "tf.Reshape"(%[[v1]], %[[cst_1]]) : (tensor<2x1x2xf32>, tensor<4xi64>) -> tensor<2x1x1x2xf32>
    // CHECK: return %[[v2]] : tensor<2x1x1x2xf32>
    }
    
    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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  4. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-serialize-stablehlo.mlir

    
    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module attributes
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.2K bytes
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  5. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-tf-quantize.mlir

    
    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.1K bytes
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  6. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-inplaceupdate.mlir

    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    
    }
    
    // CHECK-LABEL: @tfInplaceUpdate
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 16 05:09:09 UTC 2022
    - 993 bytes
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  7. tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-nnapi.mlir

    func.func @mean_4d_no_keepdim(%arg0: tensor<1x48x48x512xf32>) -> tensor<1x512xf32> {
      %cst = arith.constant dense<[1, 2]> : tensor<2xi32>
      %0 = "tfl.mean"(%arg0, %cst) {keep_dims = false} : (tensor<1x48x48x512xf32>, tensor<2xi32>) -> tensor<1x512xf32>
      func.return %0 : tensor<1x512xf32>
    }
    
    // CHECK:       func @mean_4d_no_keepdim([[VAL_0:%.*]]: tensor<1x48x48x512xf32>) -> tensor<1x512xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.9K bytes
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  8. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %cst_add = arith.constant dense<2.0> : tensor<2x512xf32>  // Not 1D
      %cst_weights = arith.constant dense<3.0> : tensor<1024x512xf32>
      %cst_bias = arith.constant dense<5.0> : tensor<1024xf32>
    
      %0 = "tfl.add"(%arg, %cst_add) {fused_activation_function = "NONE"} : (tensor<2x512xf32>, tensor<2x512xf32>) -> tensor<2x512xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/const-fold.mlir

      %cst_input = arith.constant dense<1.0> : tensor<2x512xf32>
      %cst_weights = arith.constant dense<2.0> : tensor<1024x512xf32>
      %cst_bias = arith.constant dense<4.0> : tensor<1024xf32>
    
      %0 = "tfl.fully_connected" (%cst_input, %cst_weights, %cst_bias) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<2x512xf32>, tensor<1024x512xf32>, tensor<1024xf32>) -> tensor<2x1024xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 45.8K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

    }
    
    func.func @squeezeSingleAxis(%arg0: tensor<2x1x2xf32>) -> tensor<2x2xf32> {
      %0 = "tf.Squeeze"(%arg0) {squeeze_dims = [1]} : (tensor<2x1x2xf32>) -> tensor<2x2xf32>
      func.return %0 : tensor<2x2xf32>
    
    // CHECK-LABEL:squeezeSingleAxis
    // CHECK:  "tfl.squeeze"(%arg0) <{squeeze_dims = [1]}> : (tensor<2x1x2xf32>) -> tensor<2x2xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
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