2x3x3x2xi8 - Code Search

tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_flow.mlir

// CHECK-NEXT: %[[V0:.*]] = "tf.PartitionedCall"(%[[ARG1]], %[[CST_1]], %[[CST_0]]) <{config = "", config_proto = "", executor_type = "", f = @quantize_i8}> : (tensor<2x3x3x2xf32>, tensor<f32>, tensor<i32>) -> tensor<2x3x3x2xi8>
// CHECK-NEXT: %[[V1:.*]] = "tf.PartitionedCall"(%[[ARG0]], %[[CST]], %[[CST_0]]) <{config = "", config_proto = "", executor_type = "", f = @quantize_i8}> : (tensor<1x3x4x3xf32>, tensor<f32>, tensor<i32>) -> tensor<1x3x4x3xi8>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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github.com/tensorflow/tensorflow

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

// CHECK: %[[CST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3x3x2xi8>}> : () -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>
// CHECK: %[[CALL:.+]] = call @quantized_conv_fn(%[[ARG0]], %[[CST]]) {_quantization_method = "weight_only_ptq { }"} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.0023622048182750312>>) -> tensor<1x3x4x2xf32>
// CHECK: return %[[CALL]]

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Thu May 09 05:56:10 UTC 2024

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir

    %cst = stablehlo.constant dense<3.000000e-01> : tensor<2x3x3x2xf32>
    %0 = "quantfork.qcast"(%cst) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8:f32, 6.000000e-03:-128>>
    %1 = "quantfork.dcast"(%0) : (tensor<2x3x3x2x!quant.uniform<i8:f32, 6.000000e-03:-128>>) -> tensor<2x3x3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Tue May 14 17:10:32 UTC 2024

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github.com/tensorflow/tensorflow

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

  // CHECK: return %[[DEQUANT]]
  %cst = stablehlo.constant dense<0.4> : tensor<2x3x3x2xf32>
  %quant_cst = stablehlo.uniform_quantize %cst : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8<-127:127>:f32, 0.015>>
  %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

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir

  %q_weight = "quantfork.qcast"(%weight) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8:f32, 0.074855112561992565:-1>>
  %dq_weight = "quantfork.dcast"(%q_weight) : (tensor<2x3x3x2x!quant.uniform<i8:f32, 0.074855112561992565:-1>>) -> tensor<2x3x3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Wed May 08 19:32:28 UTC 2024

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github.com/tensorflow/tensorflow

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

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github.com/tensorflow/tensorflow

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

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir

  %1 = "quantfork.dcast"(%0) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
  %q_w = "quantfork.qcast"(%cst) : (tensor<2x3x3x2xf32>) -> tensor<2x3x3x2x!quant.uniform<i8:f32, 0.0125:-24>>
  %dq_w = "quantfork.dcast"(%q_w) : (tensor<2x3x3x2x!quant.uniform<i8:f32, 0.0125:-24>>) -> tensor<2x3x3x2xf32>

Registered: Sun Jun 16 05:45:23 UTC 2024

- Last Modified: Mon Oct 30 06:52:55 UTC 2023

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d.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>>
  %2 = "tfl.dequantize"(%1) : (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 Jul 14 16:41:28 UTC 2022

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github.com/tensorflow/tensorflow

tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/depthwise_conv2d_v2.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>>
  %2 = "tfl.dequantize"(%1) : (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 Jul 14 16:41:28 UTC 2022

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