Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 10 of 20 for 1x4x4x3 (0.55 sec)

  1. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver_test.cc

          %0 = "tf.XlaCallModule"(%arg0, %cst_0, %cst_1) <{Sout = [#tf_type.shape<1x4x4x3>], module = "", version = 9 : i64}> {_entry_function = @composite_fn_1, _original_entry_function = "composite_fn_1", _tfl_quant_trait = "fully_quantizable"} : (tensor<1x4x4x3xf32>, tensor<3x1x1x3xf32>, tensor<3xf32>) -> tensor<1x4x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 7.9K bytes
    - Viewed (0)
  2. 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. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.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
    - 6.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir

    // CHECK: %[[CALL_0:.+]] = call @quantized_conv_fn(%[[UNIFORM_QUANTIZE_0]], %[[CONST_0]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 91.6K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/optimize_graph.mlir

      %quant_arg = stablehlo.uniform_quantize %arg0 : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0039207626791561354:-128>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 2.6K bytes
    - Viewed (0)
  6. 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)
  7. tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir

      %2 = stablehlo.uniform_quantize %1 : (tensor<1x4x4x4x!quant.uniform<i32:f32:3, {6.000000e+00, 6.000000e+00, 6.000000e+00, 6.000000e+00}>>) -> tensor<1x4x4x4x!quant.uniform<i8:f32, 8.000000e+00:-128>>
      return %2 : tensor<1x4x4x4x!quant.uniform<i8:f32, 8.000000e+00:-128>>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 106.2K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/nchw_convolution_to_nhwc.mlir

    func.func @quantized_convolution(%arg0: tensor<1x4x3x3x!quant.uniform<i8:f32, 1.000000e+0:-100>>, %arg1: tensor<2x4x3x3x!quant.uniform<i8:f32:0, {2.000000e+2, 3.000000e+3}>>) -> tensor<1x2x3x3x!quant.uniform<i8:f32, 4.000000e+0>> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Mar 25 23:00:47 UTC 2024
    - 5.5K bytes
    - Viewed (0)
  9. 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)
  10. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir

        %0 = stablehlo.constant dense<3.000000e-01> : tensor<2x3x3x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 9.4K bytes
    - Viewed (0)
Back to top