Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 9 of 9 for zps (0.03 sec)

  2. github.com/golang/go

    test/method.go 

    		panic("fail")
	}

	var zs struct{ S }
	var zps struct{ *S1 }
	var zi struct{ I }
	var zpi struct{ *I1 }
	var zpt struct{ *T1 }
	var zt struct{ T }
	var zv struct{ Val }

	if zs.val() != 1 {
		println("zs.val:", zs.val())
		panic("fail")
	}
	if zps.val() != 2 {
		println("zps.val:", zps.val())
		panic("fail")
	}
	if zi.val() != 3 {
		println("zi.val:", zi.val())
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Feb 11 23:20:52 UTC 2013
    - 5.2K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/legalize_tf_quant_test.cc 

          %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

      %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<1xf32>, tensor<f32>, tensor<i32>) -> tensor<1x!tf_type.qint8>
      %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 29 18:43:55 UTC 2024
    - 7.2K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/shape_inference_with_shape_specialization.mlir 

          %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

      %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<?xf32>, tensor<f32>, tensor<i32>) -> tensor<?x!tf_type.qint8>
      %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 12:49:45 UTC 2024
    - 2.8K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/verify-quant-legalization.mlir 

      %scales = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32>
  %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

  // expected-error@+1 {{'tf.UniformQuantize' op is illegal as it is a UQ op or contains uq/qint types}}
  %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Aug 18 18:54:14 UTC 2023
    - 3K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow_to_stablehlo/tests/test_tf_to_stablehlo.mlir 

          %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

      %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
        quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
      } : (tensor<?xf32>, tensor<f32>, tensor<i32>) -> tensor<?x!tf_type.qint8>
      %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 22:58:42 UTC 2024
    - 1.5K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir 

    {
  %scales = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32>
  %zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32>

  // CHECK: %[[qint:.*]] = "tf.UniformQuantize"
  // CHECK: %[[int:.*]] = "tf.Cast"(%[[qint]]) <{Truncate = false}> : (tensor<1x!tf_type.qint8>) -> tensor<1xi8>
  %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 25.9K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir 

      // CHECK: return %[[DEQUANTIZE]] : tensor<2xf32>

  %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
  } : (tensor<2xf32>, tensor<f32>, tensor<i32>) -> tensor<2x!tf_type.qint8>
  %1 = "tf.UniformDequantize"(%0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 01:25:29 UTC 2024
    - 37.3K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfr/ir/tfr_ops.cc 

                       cast_qtype.dyn_cast<quant::UniformQuantizedPerAxisType>()) {
      SmallVector<float> scales(qtype.getScales().begin(),
                                qtype.getScales().end());
      SmallVector<int32_t> zps(qtype.getZeroPoints().begin(),
                               qtype.getZeroPoints().end());
      const size_t num_channels = qtype.getScales().size();

      auto scales_type = RankedTensorType::get(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Nov 21 16:55:41 UTC 2023
    - 38.2K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

    }

// -----

func.func @testUniformQuantize(%arg0: tensor<*xf32>, %scales: tensor<2xf32>, %zps: tensor<i32>) -> tensor<*x!tf_type.qint8> {
  // expected-error @below {{'tf.UniformQuantize' op quantization_axis is -1, scales must have 0 rank.}}
   %0 = "tf.UniformQuantize"(%arg0, %scales, %zps) {
    quantization_axis = -1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
    - Viewed (0)
Back to top