You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
94 lines
3.0 KiB
94 lines
3.0 KiB
// RUN: mlir-opt -allow-unregistered-dialect %s -split-input-file -verify-diagnostics
|
|
|
|
// -----
|
|
func @invalidStatisticsMismatchedLayerType(%arg0: tensor<8x4x3xf32>) ->
|
|
tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{layerStats must have a floating point element type}}
|
|
%0 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[-1, 1]> : tensor<2xi8>
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
func @invalidStatisticsMismatchedLayerRank(%arg0: tensor<8x4x3xf32>) ->
|
|
tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{layerStats must have shape [2]}}
|
|
%0 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[[-1.0, 1.0]]> : tensor<1x2xf32>
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
func @invalidStatisticsMismatchedLayerShape(%arg0: tensor<8x4x3xf32>) ->
|
|
tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{layerStats must have shape [2]}}
|
|
%0 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[-1.0, 1.0, 2.0]> : tensor<3xf32>
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
// CHECK-LABEL: validStatistics
|
|
func @invalidStatisticsMismatchedAxisType(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{axisStats must have a floating point element type}}
|
|
%0 = "quant.stats"(%0) {
|
|
layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
|
|
axisStats = dense<[
|
|
[-1, 1],
|
|
[-8, 8],
|
|
[-1, 0]
|
|
]> : tensor<3x2xi8>, axis = 3 : i64
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
func @invalidStatisticsMismatchedAxisSize(%arg0: tensor<8x4x3xf32>) ->
|
|
tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{axisStats must have shape [N,2] where N = the slice size defined by the axis dim}}
|
|
%0 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
|
|
axisStats = dense<[
|
|
[-1.0, 1.0],
|
|
[-8.0, 8.0],
|
|
[-0.5, 0.5],
|
|
[-2.0, 3.5]
|
|
]> : tensor<4x2xf32>, axis = 3 : i64
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
func @invalidStatisticsMismatchedAxisShape(%arg0: tensor<8x4x3xf32>) ->
|
|
tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{axisStats must have shape [N,2] where N = the slice size defined by the axis dim}}
|
|
%0 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
|
|
axisStats = dense<[
|
|
[-1.0, 1.0, 1.0],
|
|
[-8.0, 8.0, 1.0],
|
|
[-0.5, 0.5, 1.0]
|
|
]> : tensor<3x3xf32>, axis = 3 : i64
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %0 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|
|
func @axisIsRequiredForAxisStats(%arg0: tensor<8x4x3xf32>) -> tensor<8x4x3xf32> {
|
|
// expected-error@+1 {{axis must be specified for axisStats}}
|
|
%1 = "quant.stats"(%arg0) {
|
|
layerStats = dense<[-1.0, 1.0]> : tensor<2xf32>,
|
|
axisStats = dense<[
|
|
[-1.0, 1.0],
|
|
[-8.0, 8.0],
|
|
[-0.5, 0.5]
|
|
]> : tensor<3x2xf32>
|
|
} : (tensor<8x4x3xf32>) -> tensor<8x4x3xf32>
|
|
return %1 : tensor<8x4x3xf32>
|
|
}
|
|
|
|
// -----
|