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Results 1 - 8 of 8 for 128x64xf32 (0.12 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_begin.mlir

      // CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%[[ADD]], %[[CST_2]]) {device = ""} : (tensor<64x8x64xf32>, tensor<2xi32>) -> tensor<512x64xf32>
      // CHECK: return %[[RESHAPE]] : tensor<512x64xf32>
    }
    
    // CHECK-LABEL: dont_move_transpose_different_ranks
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 6.3K bytes
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  2. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions_with_quantization_specs.mlir

    // DISABLE-ALL-DOT-GENERAL: @main
    func.func @main(%arg0: tensor<1x1x167xf32>) -> tensor<1x1x64xf32> {
      %0 = stablehlo.constant dense<2.000000e+00> : tensor<167x64xf32>
      %1 = stablehlo.dot_general %arg0, %0, contracting_dims = [2] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x1x167xf32>, tensor<167x64xf32>) -> tensor<1x1x64xf32>
      return %1 : tensor<1x1x64xf32>
    }
    
    // DISABLE-ALL-DOT-GENERAL: %[[CONST:.+]] = stablehlo.constant dense<2.000000e+00>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 02 18:09:38 UTC 2024
    - 8.1K bytes
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  3. tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/result-sharding.mlir

      func.func @main(%arg0: tensor<128x10xf32>, %arg1: tensor<10x1024xf32>, %arg2: tensor<128x1024xf32>) -> (tensor<128x10xf32> {mhlo.sharding = "\08\03\1A\02\01\02\22\02\00\01"}, tensor<10x1024xf32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"}, tensor<128x1024xf32> {mhlo.sharding = ""}) {
        func.return %arg0, %arg1, %arg2 : tensor<128x10xf32>, tensor<10x1024xf32>, tensor<128x1024xf32>
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 23 18:56:13 UTC 2022
    - 1.6K bytes
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  4. tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_ops.mlir

      // CHECK: tf_saved_model.global_tensor
      "tf_saved_model.global_tensor"() {
        tf_saved_model.exported_names = ["some_const"],
        sym_name = "some_constant",
        type = tensor<1x64xf32>,
        value = dense<42.0> : tensor<1x64xf32>
      } : () -> ()
    
      // Representation for variables: mutable global tensor.
      // CHECK: tf_saved_model.global_tensor
      "tf_saved_model.global_tensor"() {
        is_mutable,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 28 12:06:33 UTC 2022
    - 3K bytes
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  5. tensorflow/compiler/mlir/tensorflow/tests/layout_optimization_move_transposes_end.mlir

    // CHECK-LABEL: func @fold_into_mean
    func.func @fold_into_mean(%arg0: tensor<1x64x112x112xf32>) -> tensor<1x64xf32> {
    
      // CHECK: %[[RED_IDX:.*]] = "tf.Const"() <{value = dense<[2, 3]> : tensor<2xi32>}>
      // CHECK: %[[MEAN:[0-9]*]] = "tf.Mean"(%arg0, %[[RED_IDX]])
      // CHECK-SAME: (tensor<1x64x112x112xf32>, tensor<2xi32>) -> tensor<1x64xf32>
      // CHECK: return %[[MEAN]]
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 9.5K bytes
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  6. 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
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  7. 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
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  8. 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
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