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
94 lines
2.9 KiB
MLIR
94 lines
2.9 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
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// -----
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func @invalidStatisticsMismatchedLayerType(%arg0: tensor<8x4x3xf32>) ->
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tensor<8x4x3xf32> {
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// expected-error@+1 {{layerStats must have a floating point element type}}
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%0 = "quant.stats"(%arg0) {
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layerStats = dense<[-1, 1]> : tensor<2xi8>
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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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func @invalidStatisticsMismatchedLayerRank(%arg0: tensor<8x4x3xf32>) ->
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tensor<8x4x3xf32> {
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// expected-error@+1 {{layerStats must have shape [2]}}
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%0 = "quant.stats"(%arg0) {
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layerStats = dense<[[-1.0, 1.0]]> : tensor<1x2xf32>
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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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func @invalidStatisticsMismatchedLayerShape(%arg0: tensor<8x4x3xf32>) ->
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tensor<8x4x3xf32> {
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// expected-error@+1 {{layerStats must have shape [2]}}
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%0 = "quant.stats"(%arg0) {
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layerStats = dense<[-1.0, 1.0, 2.0]> : tensor<3xf32>
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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 @invalidStatisticsMismatchedAxisType(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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// expected-error@+1 {{axisStats must have a floating point element type}}
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%0 = "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, 1],
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[-8, 8],
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[-1, 0]
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]> : tensor<3x2xi8>, axis = 3 : i64
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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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func @invalidStatisticsMismatchedAxisSize(%arg0: tensor<8x4x3xf32>) ->
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tensor<8x4x3xf32> {
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// expected-error@+1 {{axisStats must have shape [N,2] where N = the slice size defined by the axis dim}}
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%0 = "quant.stats"(%arg0) {
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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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[-2.0, 3.5]
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]> : tensor<4x2xf32>, axis = 3 : i64
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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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func @invalidStatisticsMismatchedAxisShape(%arg0: tensor<8x4x3xf32>) ->
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tensor<8x4x3xf32> {
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// expected-error@+1 {{axisStats must have shape [N,2] where N = the slice size defined by the axis dim}}
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%0 = "quant.stats"(%arg0) {
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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, 1.0],
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[-8.0, 8.0, 1.0],
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[-0.5, 0.5, 1.0]
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]> : tensor<3x3xf32>, axis = 3 : i64
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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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func @axisIsRequiredForAxisStats(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
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// expected-error@+1 {{axis must be specified for axisStats}}
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%1 = "quant.stats"(%arg0) {
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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>
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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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