Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 10 of 11 for 1x4x4x3 (0.14 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir 

      %weight = arith.constant dense_resource<__elided__> : tensor<2x3x3x2xf32>
  %bias = arith.constant dense<[7.11401462, 7.05456924]> : tensor<2xf32>

  %q_input= "quantfork.qcast"(%input) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.58810077742034317:-128>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 19:32:28 UTC 2024
    - 11.4K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tfr/tests/canonicalize.mlir 

      %1 = "tfr.cast"(%arg0) : (!tfr.tensor) -> tensor<1x4x4x3x!quant.uniform<i8:f32, 0.0078420601785182952:-1>>
  %2 = "tfr.cast"(%arg1) : (!tfr.tensor) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0078420601785182952:-1>>
  %3 = "tfr.cast"(%2) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0078420601785182952:-1>>) -> !tfr.tensor
  %4 = "tfr.cast"(%1) : (tensor<1x4x4x3x!quant.uniform<i8:f32, 0.0078420601785182952:-1>>) -> !tfr.tensor
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 11.1K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir 

    // CHECK: %[[CONV:.*]] = stablehlo.dot_general %[[QUANT_ARG]], %[[FILTER]], contracting_dims = [2] x [0] : (tensor<1x4x2x!quant.uniform<i8:f32, {{.*}}>>, tensor<2x3x!quant.uniform<i8:f32:1, {{.*}}>>) -> tensor<1x4x3x!quant.uniform<i8:f32, {{.*}}:2>>
// CHECK: %[[DEQUANT:.*]] = stablehlo.uniform_dequantize %[[CONV]] : (tensor<1x4x3x!quant.uniform<i8:f32, {{.*}}>>) -> tensor<1x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 37K bytes
    - Viewed (0)
  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir 

    func.func @CheckNumericVerifyWholeModel(%arg0: tensor<1x4x4x3xf32>) -> tensor<1x1x1x3xf32> {
  %0 = "tfl.quantize"(%arg0) {qtype = tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>>, volatile} : (tensor<1x4x4x3xf32>) -> tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>>
  %1 = "tfl.dequantize"(%0) : (tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>>) -> tensor<1x4x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 15.1K bytes
    - Viewed (0)
  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/quantize-variables.mlir 

    // WHOLE-PASSES-NEXT:  %[[q2:.*]] = "tfl.quantize"(%[[cc1]]) <{qtype = tensor<1x4x3x!quant.uniform<u8:f32, {{.*}}>>}> : (tensor<1x4x3x!quant.uniform<u8:f32, {{.*}}>>) -> tensor<1x4x3x!quant.uniform<u8:f32, {{.*}}>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.3K bytes
    - Viewed (0)
  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc 

          func.return %%1 : tensor<1x4x4xf32>
    }
  })";
  std::string mat_mul_method =
      absl::StrFormat(kMatMulModuleStr, test_case.mat_mul_method);
  TF_ASSERT_OK_AND_ASSIGN(
      XlaCompiler::CompilationResult result,
      CompileMlirModule(
          mat_mul_method.c_str(),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 13 23:59:33 UTC 2024
    - 16.1K bytes
    - Viewed (0)
  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir 

      %2 = "quantfork.qcast"(%arg0) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>
  %3 = "quantfork.dcast"(%2) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 14 03:24:59 UTC 2024
    - 33.3K bytes
    - Viewed (0)
  9. github.com/tensorflow/tensorflow

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

        %cst = "tf.Const"() {value = dense<3.00000000e-1> : tensor<2x3x3x2xf32>} : () -> tensor<2x3x3x2xf32>
    %0 = "tf.XlaCallModule"(%arg0, %cst) {
        Sout = [#tf_type.shape<1x3x4x2>], dim_args_spec = [], disabled_checks = [],
        has_token_input_output = false, module = "", platforms = [], version = 5 : i64,
        _entry_function = @composite_conv_fn, _original_entry_function = "composite_conv_fn",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 22K bytes
    - Viewed (0)
  10. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir 

        %0 = "quantfork.qcast"(%arg0) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>
    %1 = "quantfork.dcast"(%0) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jan 08 01:16:10 UTC 2024
    - 25.2K bytes
    - Viewed (0)
  11. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-binary-elementwise.mlir 

      %0 = "tf.AddV2"(%arg0, %arg1) : (tensor<1xi32>, tensor<1x2xi32>) -> tensor<1x2xi32>
  func.return %0: tensor<1x2xi32>
}

// CHECK-LABEL: func @broadcast_multi_dim_add
// TODO(laurenzo): Change this to a (4x1x1 + 1x4x4x4) shaped add once upstream
// broadcastable bug is fixed (helps make the CHECK matching unambiguous)
func.func @broadcast_multi_dim_add(%arg0: tensor<4x1x1xi32>, %arg1: tensor<4x4x4x4xi32>) -> tensor<4x4x4x4xi32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Apr 06 15:32:52 UTC 2024
    - 18.4K bytes
    - Viewed (0)
Back to top