1// RUN: mlir-opt %s -split-input-file | FileCheck %s 2 3// ----- 4// CHECK-LABEL: validConstFakeQuant 5func @validConstFakeQuant(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { 6 %0 = "quant.const_fake_quant"(%arg0) { 7 min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = true 8 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 9 %1 = "quant.const_fake_quant"(%0) { 10 min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = false 11 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 12 %2 = "quant.const_fake_quant"(%1) { 13 min = 0.0 : f32, max = 1.0 : f32, num_bits = 8 14 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 15 return %2 : tensor<8x4x3xf32> 16} 17 18// ----- 19// CHECK-LABEL: validConstFakeQuantPerAxis 20func @validConstFakeQuantPerAxis(%arg0: tensor<8x4x2xf32>) -> tensor<8x4x2xf32> { 21 %0 = "quant.const_fake_quant_per_axis"(%arg0) { 22 min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = true 23 } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> 24 %1 = "quant.const_fake_quant_per_axis"(%0) { 25 min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = false 26 } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> 27 %2 = "quant.const_fake_quant_per_axis"(%1) { 28 min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8 29 } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> 30 return %2 : tensor<8x4x2xf32> 31} 32 33// ----- 34// CHECK-LABEL: validStatisticsRef 35func @validStatisticsRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { 36 %0 = "quant.stats_ref"(%arg0) { statsKey = "foobar" } : 37 (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 38 return %0 : tensor<8x4x3xf32> 39} 40 41// ----- 42// CHECK-LABEL: validStatistics 43func @validStatistics(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { 44 %0 = "quant.stats"(%arg0) { 45 layerStats = dense<[-1.0, 1.0]> : tensor<2xf32> 46 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 47 %1 = "quant.stats"(%0) { 48 layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>, 49 axisStats = dense<[ 50 [-1.0, 1.0], 51 [-8.0, 8.0], 52 [-0.5, 0.5] 53 ]> : tensor<3x2xf32>, axis = 2 : i64 54 } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 55 return %1 : tensor<8x4x3xf32> 56} 57 58// ----- 59// CHECK-LABEL: validCoupledRef 60func @validCoupledRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { 61 %0 = "quant.coupled_ref"(%arg0) { coupledKey = "foobar" } : 62 (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> 63 return %0 : tensor<8x4x3xf32> 64} 65