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Results 11 - 20 of 20 for 2x3x3x2xi8 (0.14 sec)

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

    // CHECK: %[[Q:.+]] = "quantfork.qcast"(%[[CST]]) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>
    // CHECK: %[[DQ:.+]] = "quantfork.dcast"(%[[Q]]) : (tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<2x3x3x2xf32>
    // CHECK: %[[CALL:.+]] = "tf.XlaCallModule"(%[[ARG_0]], %[[DQ]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 05:56:10 UTC 2024
    - 22K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir

    // CHECK-NEXT:   %{{.*}} = "tfl.pseudo_qconst"() <{qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678{{[0-9]*}}:151>>, value = dense<-76> : tensor<32x3x3x3xi8>}> : () -> tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678{{[0-9]*}}:151>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.3K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize_per_channel.mlir

        %cst = "tf.Const"() {device = "", value = dense<[7.11401462, 7.05456924]> : tensor<2xf32>} : () -> tensor<2xf32>
        // CHECK: %[[q_weight_per_channel:.*]] = "quantfork.qcast"
        // CHECK-SAME: -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32:3, {0.075123051020104109,0.072960192762960605}>>
        // CHECK: %[[dq_weight:.*]] = "quantfork.dcast"(%[[q_weight_per_channel]])
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Mar 26 07:48:15 UTC 2024
    - 8.6K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/optimize.mlir

      return %2 : tensor<?x2x2x1xi32>
    }
    
    // -----
    
    // CHECK-LABEL: func @convolution_add_add_static
    func.func @convolution_add_add_static(
        %lhs: tensor<2x3x2x1xi8>, %rhs: tensor<2x1x1x1xi8>,
        %zp_offset: tensor<2x2x2x1xi32>, %bias: tensor<1xi32>
      ) -> tensor<2x2x2x1xi32> {
      // CHECK-DAG: %[[conv:.*]] = mhlo.convolution
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Feb 24 02:26:47 UTC 2024
    - 10.7K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/decompose-hybrid-quantization.mlir

    func.func @test_depthwise_conv2d_replace_float(%arg0: tensor<1x224x224x3xf32>) -> tensor<1x112x112x32xf32> {
      // CHECK-DAG: %[[VAL0:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<32x3x3x3x!quant.uniform<{{.+}}>>, value = dense<42> : tensor<32x3x3x3xi8>}>
      // CHECK-DAG: %[[VAL1:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<32x!quant.uniform<{{.+}}>>, value = dense<0> : tensor<32xi32>}>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.1K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir

      %0 = "quantfork.qcast"(%cst_1) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32:3, {0.003937007874015748,0.003937007874015748}>>
      %1 = "quantfork.dcast"(%0) : (tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32:3, {0.003937007874015748,0.003937007874015748}>>) -> tensor<2x3x3x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 14 03:24:59 UTC 2024
    - 33.3K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/post-quantize.mlir

      %1 = "tfl.pseudo_qconst"() {qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>, value = dense<-76> : tensor<32x3x3x3xi8>} : () -> tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 19.9K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/tests/quantize.mlir

    // CHECK: %[[cst1:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 1.000000e-01>>, value = dense<1> : tensor<32x3x3x3xi8>}>
    // CHECK: %[[conv:.*]] = "tfl.conv_2d"(%arg0, %[[cst1]], %[[cst0]])
    // CHECK: return %[[conv]] : tensor<1x112x112x32x!quant.uniform<u8:f32, 0.023528476789885875>>
    }
    
    // CHECK-LABEL: QuantizeConv2D4Bit
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 23:10:13 UTC 2024
    - 39.7K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir

      %3 = "tfl.pseudo_qconst"() {qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>, value = dense<-76> : tensor<32x3x3x3xi8>} : () -> tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>
      %4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x3x3x3xf32>
    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/lite/tests/prepare-quantize.mlir

      %3 = "tfl.pseudo_qconst"() {qtype = tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>, value = dense<-76> : tensor<32x3x3x3xi8>} : () -> tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>
      %4 = "tfl.dequantize"(%3) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x3x3x3xf32>
    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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