640x640xf32 - Code Search

tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

      %arg6 : tensor<!tf_type.resource<tensor<640xf32>>>,
      %arg7 : tensor<!tf_type.resource<tensor<512x640xf32>>>,
      %arg8 : tensor<!tf_type.resource<tensor<640x640xf32>>>,
      %arg9 : tensor<!tf_type.resource<tensor<4096xf32>>>,
      %arg10 : tensor<!tf_type.resource<tensor<640x4096xf32>>>,
      %arg11 : tensor<!tf_type.resource<tensor<512xf32>>>
      ) {

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional.mlir

func.func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>) -> tensor<40x40xf32> {
// CHECK: [[NONE:%.*]] = "tfl.no_value"() <{value}> : () -> none
// CHECK: "tfl.fully_connected"(%arg0, %arg1, [[NONE]])
// CHECK-SAME: (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  %cst = "tfl.no_value"() {value = unit} : () -> none

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu May 02 09:41:17 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir

func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>):
  %cst = arith.constant dense<1.0> : tensor<40xf32>
  %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  func.return %0 : tensor<40x40xf32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/shape-inference.mlir

  %0 = "tfl.unidirectional_sequence_lstm"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5, %arg6, %arg7, %arg8, %arg9, %arg10, %arg11, %arg12, %arg13, %arg14,...

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc.mlir

func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> {
^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>):
  %cst = arith.constant dense<1.0> : tensor<40xf32>
  %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  func.return %0 : tensor<40x40xf32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/optional.mlir

func.func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>) -> tensor<40x40xf32> {
  %0 = "tfl.no_value"() {value = unit} : () -> none
  %1:2 = "tfl.fully_connected"(%arg0, %arg1, %0) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  func.return %1 : tensor<40x40xf32>
}

// CHECK: operators: [ {

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected.mlir

  %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  func.return %0 : tensor<40x40xf32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fully_connected_v2.mlir

  %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "SHUFFLED4x16INT8"} : (tensor<40x37xf32>, tensor<40x37xf32>, none) -> (tensor<40x40xf32>, tensor<40x40xf32>)
  func.return %0 : tensor<40x40xf32>

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github.com/tensorflow/tensorflow

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

// CHECK-LABEL: @MinimumOfReluAnd6ToRelu6
func.func @MinimumOfReluAnd6ToRelu6(%arg0: tensor<40x40xf32>) -> tensor<40x40xf32> {
  %cst = arith.constant dense<6.0> : tensor<f32>
  %2 = "tfl.relu"(%arg0) : (tensor<40x40xf32>) -> tensor<40x40xf32>
  %3 = "tfl.minimum"(%2, %cst) : (tensor<40x40xf32>, tensor<f32>) -> tensor<40x40xf32>
  func.return %3 : tensor<40x40xf32>

  // CHECK: %[[rs1:.*]] = "tfl.relu6"(%arg0
  // CHECK: return %[[rs1]]
}

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc

  // FB-EMPTY:
  // FB-NEXT:             }
  // FB-NEXT:       } ],

  // CHECK-LABEL: func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>)
  // CHECK-SAME:      -> tensor<40x40xf32>
  // CHECK:         %[[stat:.*]] = "quantfork.stats"(%arg0) <{layerStats = dense
  // CHECK-SAME:      <[-1.000000e+00, 1.000000e+00]> : tensor<2xf32>}>
  // CHECK-SAME:      : (tensor<40x37xf32>) -> tensor<40x37xf32>

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