| // RUN: mlir-opt %s -split-input-file | FileCheck %s |
| |
| // ----- |
| // CHECK-LABEL: validConstFakeQuant |
| func @validConstFakeQuant(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { |
| %0 = "quant.const_fake_quant"(%arg0) { |
| min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = true |
| } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| %1 = "quant.const_fake_quant"(%0) { |
| min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = false |
| } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| %2 = "quant.const_fake_quant"(%1) { |
| min = 0.0 : f32, max = 1.0 : f32, num_bits = 8 |
| } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| return %2 : tensor<8x4x3xf32> |
| } |
| |
| // ----- |
| // CHECK-LABEL: validConstFakeQuantPerAxis |
| func @validConstFakeQuantPerAxis(%arg0: tensor<8x4x2xf32>) -> tensor<8x4x2xf32> { |
| %0 = "quant.const_fake_quant_per_axis"(%arg0) { |
| min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = true |
| } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> |
| %1 = "quant.const_fake_quant_per_axis"(%0) { |
| min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = false |
| } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> |
| %2 = "quant.const_fake_quant_per_axis"(%1) { |
| min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8 |
| } : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32> |
| return %2 : tensor<8x4x2xf32> |
| } |
| |
| // ----- |
| // CHECK-LABEL: validStatisticsRef |
| func @validStatisticsRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { |
| %0 = "quant.stats_ref"(%arg0) { statsKey = "foobar" } : |
| (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| return %0 : tensor<8x4x3xf32> |
| } |
| |
| // ----- |
| // CHECK-LABEL: validStatistics |
| func @validStatistics(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { |
| %0 = "quant.stats"(%arg0) { |
| layerStats = dense<[-1.0, 1.0]> : tensor<2xf32> |
| } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| %1 = "quant.stats"(%0) { |
| layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>, |
| axisStats = dense<[ |
| [-1.0, 1.0], |
| [-8.0, 8.0], |
| [-0.5, 0.5] |
| ]> : tensor<3x2xf32>, axis = 2 : i64 |
| } : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| return %1 : tensor<8x4x3xf32> |
| } |
| |
| // ----- |
| // CHECK-LABEL: validCoupledRef |
| func @validCoupledRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> { |
| %0 = "quant.coupled_ref"(%arg0) { coupledKey = "foobar" } : |
| (tensor<8x4x3xf32>) -> tensor<8x4x3xf32> |
| return %0 : tensor<8x4x3xf32> |
| } |