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Results 1 - 10 of 15 for quantization_axis (0.44 sec)

  2. github.com/tensorflow/tensorflow

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

        // CHECK-NEXT: %[[UQ:.*]] = "tf.UniformQuantize"(%arg0, %cst, %cst_0) <{quantization_axis = -1 : i64, quantization_max_val = 127 : i64, quantization_min_val = -128 : i64}> : (tensor<1xf32>, tensor<f32>, tensor<i32>) -> tensor<1x!tf_type.qint8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Apr 24 12:49:45 UTC 2024
    - 2.8K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

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

      %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)
  4. github.com/tensorflow/tensorflow

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

      // CHECK: %[[qint:.*]] = "tf.UniformQuantize"
  // CHECK: %[[int:.*]] = "tf.Cast"(%[[qint]]) <{Truncate = false}> : (tensor<1x!tf_type.qint8>) -> tensor<1xi8>
  %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>

  // CHECK: return %[[int]] : tensor<1xi8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 25.9K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils.cc 

        return failure();
  }
  Attribute quantization_axis = rewriter.getI64IntegerAttr(-1);
  // TODO(b/296916785): Revisit axis assignment logic.
  if (enable_per_channel_quantization) {
    quantization_axis = rewriter.getI64IntegerAttr(3);
  }

  attrs.push_back(
      rewriter.getNamedAttr("quantization_axis", quantization_axis));
  op->setAttrs(rewriter.getDictionaryAttr(attrs));
  return success();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 18.7K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

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

          %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) {
        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 Feb 29 18:43:55 UTC 2024
    - 7.2K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

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

          %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) {
        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: Tue May 21 22:58:42 UTC 2024
    - 1.5K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

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

      %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) {
    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)
  9. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_uniform_attribute_utils_test.cc 

      constexpr absl::string_view kRequantOpExpr =
      R"mlir(
      %0 = "tf.Const"() {value = #tf_type<tensor_proto : "0x746674656"> : tensor<1x3x2x2x!tf_type.qint32>, quantization_axis = 3} : () -> tensor<1x3x2x2x!tf_type.qint32>
      %1 = "tf.Const"() {value = dense<1.0> : tensor<2xf32>} : () -> tensor<2xf32>
      %2 = "tf.Const"() {value = dense<2> : tensor<2xi32>} : () -> tensor<2xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Sep 11 00:47:05 UTC 2023
    - 11.4K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized.mlir 

        %quantize = "tf.UniformQuantize"(%input, %input_scale, %input_zp) {
      Tin = "tfdtype$DT_FLOAT",
      Tout = "tfdtype$DT_QINT8",
      quantization_axis = -1,
      quantization_min_val = -128,
      quantization_max_val = 127,
      attr_map = ""
    } : (tensor<*xf32>, tensor<*xf32>, tensor<*xi32>) -> tensor<*x!tf_type.qint8>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Aug 29 01:13:58 UTC 2023
    - 19.3K bytes
    - Viewed (0)
  11. github.com/tensorflow/tensorflow

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

      %0 = "tf.UniformQuantize"(%arg0, %scale, %zp) {
    quantization_axis = -1 : i64,
    quantization_min_val = -128 : i64,
    quantization_max_val = 127 : i64
  } : (tensor<10xf32>, tensor<f32>, tensor<i32>) -> tensor<10x!tf_type.qint8>
  %1 = "tf.UniformDequantize"(%0, %scale, %zp) {
    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: Wed Apr 03 01:03:21 UTC 2024
    - 35.8K bytes
    - Viewed (0)
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