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Results 1 - 3 of 3 for 6x3xi8 (0.21 sec)

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

        return %5 : tensor<1x3xf32>
      }
    // CHECK: %[[CONST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<1x2xi8>}> : () -> tensor<1x2x!quant.uniform<i8:f32, {{.*}}>>
    // CHECK: %[[CONST_0:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3xi8>}> : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {{.*}}>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 91.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tfrt/tests/mlrt/while_to_map_fn.mlir

      %outputs_18 = "tf.ExpandDims"(%outputs_16, %outputs_0) {device = ""} : (tensor<?x?x3xui8>, tensor<i32>) -> tensor<1x?x?x3xui8>
      %outputs_20 = "tf.ResizeBilinear"(%outputs_18, %outputs) {align_corners = false, device = "", half_pixel_centers = false} : (tensor<1x?x?x3xui8>, tensor<2xi32>) -> tensor<1x224x224x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 23 06:40:22 UTC 2024
    - 68.6K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir

    func.func @DequantizeAndQuantize() -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> {
      %cst = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<-1> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>
      %0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> tensor<2x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 67.5K bytes
    - Viewed (0)
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