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Results 1 - 6 of 6 for 8x10xf32 (0.09 sec)

  1. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    }
    
    // CHECK-LABEL: softmax
    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[SOFTMAX_0:.*]] = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
    // CHECK: return %[[SOFTMAX_0]] : tensor<8x16xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_add
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
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  2. tensorflow/compiler/mlir/lite/tests/legalize-tf-variables.mlir

      // CHECK: %[[ADD:.*]] = tfl.add %[[VAR_VAL]], %arg0 {fused_activation_function = "NONE"} : tensor<1x10xf32>
      // CHECK: "tfl.assign_variable"(%[[RESOURCE]], %[[ADD]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>, tensor<1x10xf32>) -> ()
      // CHECK: %[[RESULT:.*]] = "tfl.read_variable"(%[[RESOURCE]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>) -> tensor<1x10xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 7.7K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/unwrap_xla_call_module_op.mlir

      func.func private @main_0(%arg0: tensor<10x1x3xf32>) -> tensor<3x10xf32> attributes {_from_xla_call_module} {
        %0 = stablehlo.reshape %arg0 : (tensor<10x1x3xf32>) -> tensor<3x10xf32>
        return %0 : tensor<3x10xf32>
      }
      // CHECK: %[[RESHAPE:.*]] = stablehlo.reshape
      // CHECK-NEXT: return %[[RESHAPE]]
    
      // CHECK: @main_1
      func.func private @main_1(%arg0: tensor<3x10xf32>) -> tensor<6x5xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 3.7K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir

    // CHECK-NEXT:    return [[RES]], [[MATRES]] : tensor<1x1xf32>, tensor<1x1xf32>
    //
    module {
      func.func @serving_default(%arg0: tensor<1x3xf32>) -> (tensor<1x1xf32>, tensor<1x1xf32>) {
        %0 = "tf.VarHandleOp"() <{container = "", shared_name = "y"}> : () -> tensor<!tf_type.resource<tensor<3x1xf32>>>
        %2 = "tf.ReadVariableOp"(%0) : (tensor<!tf_type.resource<tensor<3x1xf32>>>) -> tensor<3x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 15:33:17 UTC 2024
    - 5.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir

      %outputs_2 = "tf.add"(%outputs_0, %outputs_1): (tensor<1x1xf32>, tensor<1x1xf32>) -> tensor<1x1xf32>
      return %outputs_2 : tensor<1x1xf32>
    }
    
    // CHECK-LABEL: @_func
    func.func private @_func(%arg0: tensor<1x3xf32>, %arg1: tensor<3x1xf32>) -> (tensor<1x1xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Feb 17 07:28:40 UTC 2024
    - 9K bytes
    - Viewed (0)
  6. 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)
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