derek.holloway
7502bf64a4
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171 lines
4.4 KiB
MLIR
171 lines
4.4 KiB
MLIR
// RUN: mlir-opt %s -split-input-file -verify-diagnostics
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @dcast_scalar(%arg0: !qalias) {
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%0 = quant.dcast %arg0 : !qalias to f32
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @dcast_ranked(%arg0: tensor<2x?x4x!qalias>) {
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%0 = quant.dcast %arg0 : tensor<2x?x4x!qalias> to tensor<2x?x4xf32>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @dcast_unranked(%arg0: tensor<*x!qalias>) {
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%0 = quant.dcast %arg0 : tensor<*x!qalias> to tensor<*xf32>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @dcast_per_axis_static(%arg0: tensor<1x2x3x!qalias>) {
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%0 = quant.dcast %arg0 : tensor<1x2x3x!qalias> to tensor<1x2x3xf32>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @dcast_per_axis_dynamic(%arg0: tensor<?x?x?x!qalias>) {
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%0 = quant.dcast %arg0 : tensor<?x?x?x!qalias> to tensor<?x?x?xf32>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @dcast_per_axis_unranked(%arg0: tensor<*x!qalias>) {
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%0 = quant.dcast %arg0 : tensor<*x!qalias> to tensor<*xf32>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @qcast_scalar(%arg0: f32) {
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%0 = quant.qcast %arg0 : f32 to !qalias
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @qcast_ranked(%arg0: tensor<2x?x4xf32>) {
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%0 = quant.qcast %arg0 : tensor<2x?x4xf32> to tensor<2x?x4x!qalias>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @qcast_unranked(%arg0: tensor<*xf32>) {
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%0 = quant.qcast %arg0 : tensor<*xf32> to tensor<*x!qalias>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @qcast_per_axis_static(%arg0: tensor<1x2x3xf32>) {
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%0 = quant.qcast %arg0 : tensor<1x2x3xf32> to tensor<1x2x3x!qalias>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @qcast_per_axis_dynamic(%arg0: tensor<?x?x?xf32>) {
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%0 = quant.qcast %arg0 : tensor<?x?x?xf32> to tensor<?x?x?x!qalias>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @qcast_per_axis_unranked(%arg0: tensor<*xf32>) {
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%0 = quant.qcast %arg0 : tensor<*xf32> to tensor<*x!qalias>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @scast_scalar(%arg0: i8) {
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%0 = quant.scast %arg0 : i8 to !qalias
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%1 = quant.scast %0 : !qalias to i8
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @scast_ranked(%arg0: tensor<2x?x4xi8>) {
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%0 = quant.scast %arg0 : tensor<2x?x4xi8> to tensor<2x?x4x!qalias>
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%1 = quant.scast %0 : tensor<2x?x4x!qalias> to tensor<2x?x4xi8>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32, 1.0>
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func.func @scast_unranked(%arg0: tensor<*xi8>) {
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%0 = quant.scast %arg0 : tensor<*xi8> to tensor<*x!qalias>
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%1 = quant.scast %0 : tensor<*x!qalias> to tensor<*xi8>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @scast_per_axis_static(%arg0: tensor<1x2x3xi8>) {
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%0 = quant.scast %arg0 : tensor<1x2x3xi8> to tensor<1x2x3x!qalias>
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%1 = quant.scast %0 : tensor<1x2x3x!qalias> to tensor<1x2x3xi8>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @scast_per_axis_dynamic(%arg0: tensor<?x?x?xi8>) {
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%0 = quant.scast %arg0 : tensor<?x?x?xi8> to tensor<?x?x?x!qalias>
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%1 = quant.scast %0 : tensor<?x?x?x!qalias> to tensor<?x?x?xi8>
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return
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}
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// -----
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!qalias = !quant.uniform<i8:f32:2, {1.0, 2.0, 3.0}>
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func.func @scast_per_axis_unranked(%arg0: tensor<*xi8>) {
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%0 = quant.scast %arg0 : tensor<*xi8> to tensor<*x!qalias>
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%1 = quant.scast %0 : tensor<*x!qalias> to tensor<*xi8>
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return
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}
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// -----
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!qalias = !quant.uniform<u8:f32:{0:1,1:2},
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{{2.000000e+02:120,9.987200e-01:127}, {2.000000e+02,9.987200e-01}}>
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func.func @sub_channel_quantization(%arg0: tensor<2x4xi8>) -> tensor<2x4xi8> {
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%0 = quant.scast %arg0 : tensor<2x4xi8> to tensor<2x4x!qalias>
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%1 = quant.dcast %0 : tensor<2x4x!qalias> to tensor<2x4xf32>
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%2 = quant.qcast %1 : tensor<2x4xf32> to tensor<2x4x!qalias>
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%3 = quant.scast %2 : tensor<2x4x!qalias> to tensor<2x4xi8>
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return %3 : tensor<2x4xi8>
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}
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// -----
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!qalias = !quant.uniform<u8:f32:{0:1,1:2},
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{{2.000000e+02:120,9.987200e-01:127}, {2.000000e+02,9.987200e-01}}>
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func.func @sub_channel_quantization_with_unknown_dims(%arg0: tensor<2x?xf32>) {
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%0 = quant.qcast %arg0 : tensor<2x?xf32> to tensor<2x?x!qalias>
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return
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}
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