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Results 11 - 20 of 28 for 128x16xf32 (0.17 sec)

  1. tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir

       "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
      }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.1K bytes
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  2. tensorflow/compiler/mlir/lite/tests/quantize.mlir

       "tfl.yield"(%4) : (tensor<128x128xf32>) -> ()
      }) {_tfl_quant_trait = "fully_quantizable", device = ""} : (tensor<128x128xf32>, tensor<1xf32>, tensor<1xf32>, tensor<1xi32>) -> tensor<128x128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 23:10:13 UTC 2024
    - 39.7K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/tests/prepare_tpu_computation_for_tf_export.mlir

    // CHECK-LABEL: @ShardingAttr
    func.func @ShardingAttr(%arg0: tensor<128x10xf32> {mhlo.sharding = "\08\03\1A\02\01\02\22\02\00\01"}, %arg1: tensor<10x1024xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}, %arg2: tensor<128x1024xf32> {mhlo.sharding = ""}) -> (tensor<128x10xf32>, tensor<10x1024xf32>, tensor<128x1024xf32>) {
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 14 18:46:36 UTC 2024
    - 9.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir

    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[CUSTOM_0:.*]] = "tfl.custom"(%arg0) <{custom_code = "FlexSoftmax", custom_option = #tfl<const_bytes : "0x07536F66746D617800161207536F66746D61781A002A070A0154120230013200000221191414042801">}> : (tensor<8x16xf32>) -> tensor<8x16xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir

      %4 = "tfl.relu"(%3) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<128x128xf32>) -> tensor<128x128xf32>
      %5 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<128x128xf32>} : () -> tensor<128x128xf32>
      %6 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<128xf32>} : () -> tensor<128xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 74.9K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir

      %0 = "tf.GatherV2"(%cst_0, %arg0, %cst) {batch_dims = 0 : i64, device = ""} : (tensor<128x32xf32>, tensor<6xi64>, tensor<i32>) -> tensor<6x32xf32>
      return %0 : tensor<6x32xf32>
    
    // CHECK-DAG: %[[CST:.*]] = "tf.Const"() {{.*}} : () -> tensor<i32>
    // CHECK-DAG: %[[CST_1:.*]] = "tf.Const"() {{.*}} : () -> tensor<128x32xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.8K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/argument-sharding.mlir

    module attributes {tf.versions = {producer = 179 : i32}} {
      func.func @main(%arg0: tensor<128x10xf32> {mhlo.sharding = "\08\03\1A\02\01\02\22\02\00\01"}, %arg1: tensor<10x1024xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}, %arg2: tensor<128x1024xf32> {mhlo.sharding = ""}) {
        func.return
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 28 12:06:33 UTC 2022
    - 1.9K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/argument-sharding-invalid.mlir

    module attributes {tf.versions = {producer = 179 : i32}} {
      func.func @main(%arg0: tensor<128x8xf32> {mhlo.sharding = "bad_sharding"}) {
        func.return
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 28 12:06:33 UTC 2022
    - 364 bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir

      %11 = "tf.Floor"(%10#0) {device = ""} : (tensor<2x16xf32>) -> tensor<2x16xf32>
      %12 = "tf.Maximum"(%0, %11) {device = ""} : (tensor<f32>, tensor<2x16xf32>) -> tensor<2x16xf32>
      %13 = "tf.Minimum"(%12, %4) {device = ""} : (tensor<2x16xf32>, tensor<f32>) -> tensor<2x16xf32>
      %14 = "tf.Cast"(%13) {Truncate = false, device = ""} : (tensor<2x16xf32>) -> tensor<2x16xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 122.1K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir

      func.return %0 : tensor<8x16xf32>
    }
    
    // -----
    
    func.func @testCumprod(%arg: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %axis = arith.constant dense<-3> : tensor<i32>
      // expected-error @+1 {{axis operand should be within range [-2, 2)}}
      %0 = "tf.Cumprod"(%arg, %axis) : (tensor<8x16xf32>, tensor<i32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
    - Viewed (0)
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