const_0d - Code Search

tensorflow/compiler/jit/node_matchers_test.cc

      ops::Placeholder(root.WithOpName("placeholder"), DT_FLOAT);
  Output const_0d = ops::Const(root.WithOpName("const_0d"), 42);

  Output const_2d = ops::Const(root.WithOpName("const_2d"), {{1, 2}, {4, 3}});

  EXPECT_THAT(const_0d.node(), NodeWith(ConstantValue(42)));
  EXPECT_THAT(const_0d.node(), NodeWith(ConstantValue(42), Name("const_0d")));

  EXPECT_THAT(const_2d.node(), NodeWith(ConstantValue({{1, 2}, {4, 3}})));

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir

// CHECK-DAG: %[[CONST_2:.+]] = stablehlo.constant dense<3> : tensor<1xi32>
// CHECK-DAG: %[[CONST_3:.+]] = stablehlo.constant dense<4> : tensor<1xi32>
// CHECK-DAG: %[[CONST_4:.+]] = stablehlo.constant dense<2> : tensor<1xi32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir

// CHECK-DAG: %[[CONST_0:.*]] = stablehlo.constant dense<[{{.*}}]> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = stablehlo.constant dense<[{{.*}}]> : tensor<2x3x3x2xf32>
// CHECK-DAG: %[[CONV:.*]] = stablehlo.convolution(%[[ARG]], %[[CONST_1]]) {{.*}} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32>
// CHECK-DAG: %[[BROADCAST:.*]] = stablehlo.broadcast_in_dim %[[CONST_0]], dims = [3] : (tensor<2xf32>) -> tensor<1x3x2x2xf32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir

// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<{{.*}}> : tensor<1x1x3x2xf32>}> : () -> tensor<1x1x3x2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() <{value = dense<-1.000000e+00> : tensor<f32>}> : () -> tensor<f32>
// CHECK-DAG: %[[CONST_2:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<f32>}> : () -> tensor<f32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir

  %3 = stablehlo.add %2, %1 : tensor<1x3xf32>
  func.return %3: tensor<1x3xf32>
}
// CHECK: %[[CONST_0:.*]] = stablehlo.constant dense<2.000000e+00>
// CHECK: %[[CONST_1:.*]] = stablehlo.constant dense<2.000000e+00>
// CHECK: %[[XLA_CALL_MODULE:.*]] = "tf.XlaCallModule"(%arg0, %[[CONST_0]], %[[CONST_1]])
// CHECK: return %[[XLA_CALL_MODULE:.*]] : tensor<1x3xf32>
// CHECK: }

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op_weight_only.mlir

  }

// PerTensor-LABEL: func @depthwise_conv
// PerTensor-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<6xf32>
// PerTensor: %[[CONST_1:.*]] = arith.constant dense
// PerTensor-NOT: tensor<2x3x1x6xf32>
// PerTensor-SAME: tensor<2x3x3x2xf32>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir

// CHECK: %[[BIASADD_0:.*]] = "tf.BiasAdd"(%[[PARTITIONEDCALL_0]], %[[CONST_0]])
// CHECK: %[[RELU6_0:.*]] = "tf.Relu6"(%[[BIASADD_0]])
// CHECK: %[[PARTITIONEDCALL_1:.*]] = "tf.PartitionedCall"(%arg0, %[[CONST_1]])
// CHECK-SAME: f = @composite_conv2d_fn_1
// CHECK: %[[BIASADD_1:.*]] = "tf.BiasAdd"(%[[PARTITIONEDCALL_1]], %[[CONST_0]])
// CHECK: return %[[RELU6_0]], %[[BIASADD_1]]
// CHECK: }

// CHECK-LABEL: private @composite_conv2d_fn_2

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_save_op.mlir

// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{{{.*value = dense<"var_0"> : tensor<1x!tf_type.string>.*}}}>
// CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() <{{{.*value = dense<""> : tensor<1x!tf_type.string>.*}}}>
// CHECK: "tf.SaveV2"(%[[ARG]], %[[CONST_0]], %[[CONST_1]], %[[READ_VARIABLE]])
// CHECK: return
}

// -----

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq_per_channel.mlir

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @conv2d
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x512x2xf32>
// CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x512x2xf32>) -> tensor<2x3x512x2x!quant.uniform<i8<-127:127>:f32:3, {0.023622047244094488,0.023622047244094488}>>

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir

    return %0 : tensor<*xf32>
  }

// CHECK-LABEL: func @conv2d
// CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32>
// CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x3x512xf32>
// CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x3x512xf32>) -> tensor<2x3x3x512x!quant.uniform<i8<-127:127>:f32, 0.023622047244094488>>

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