8c95223e3c
The first dim length of the axisStats attribute should equals to the slice size of the input argument when splitted by the axis dimension. PiperOrigin-RevId: 272798042
65 lines
2.4 KiB
MLIR
65 lines
2.4 KiB
MLIR
// RUN: mlir-opt %s -split-input-file | FileCheck %s
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// -----
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// CHECK-LABEL: validConstFakeQuant
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func @validConstFakeQuant(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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%0 = "quant.const_fake_quant"(%arg0) {
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min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = true
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} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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%1 = "quant.const_fake_quant"(%0) {
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min = 0.0 : f32, max = 1.0 : f32, num_bits = 8, narrow_range = false
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} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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%2 = "quant.const_fake_quant"(%1) {
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min = 0.0 : f32, max = 1.0 : f32, num_bits = 8
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} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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return %2 : tensor<8x4x3xf32>
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}
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// -----
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// CHECK-LABEL: validConstFakeQuantPerAxis
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func @validConstFakeQuantPerAxis(%arg0: tensor<8x4x2xf32>) -> tensor<8x4x2xf32> {
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%0 = "quant.const_fake_quant_per_axis"(%arg0) {
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min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = true
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} : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32>
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%1 = "quant.const_fake_quant_per_axis"(%0) {
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min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8, narrow_range = false
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} : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32>
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%2 = "quant.const_fake_quant_per_axis"(%1) {
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min = [0.0 : f32, 1.0 : f32], max = [2.0 : f32, 3.0 : f32], axis = 2, num_bits = 8
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} : (tensor<8x4x2xf32>) -> tensor<8x4x2xf32>
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return %2 : tensor<8x4x2xf32>
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}
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// -----
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// CHECK-LABEL: validStatisticsRef
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func @validStatisticsRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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%0 = "quant.stats_ref"(%arg0) { statsKey = "foobar" } :
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(tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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return %0 : tensor<8x4x3xf32>
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}
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// -----
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// CHECK-LABEL: validStatistics
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func @validStatistics(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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%0 = "quant.stats"(%arg0) {
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layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>
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} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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%1 = "quant.stats"(%0) {
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layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
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axisStats = dense<[
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[-1.0, 1.0],
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[-8.0, 8.0],
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[-0.5, 0.5]
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]> : tensor<3x2xf32>, axis = 2 : i64
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} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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return %1 : tensor<8x4x3xf32>
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}
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// -----
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// CHECK-LABEL: validCoupledRef
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func @validCoupledRef(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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%0 = "quant.coupled_ref"(%arg0) { coupledKey = "foobar" } :
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(tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
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return %0 : tensor<8x4x3xf32>
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}
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