
This patch handles the strided update in the `#pragma omp target update
from(data[a🅱️c])` directive where 'c' represents the strided access
leading to non-contiguous update in the `data` array when the offloaded
execution returns the control back to host from device using the `from`
clause.
Issue: Clang CodeGen where info is generated for the particular
`MapType` (to, from, etc), it was failing to detect the strided access.
Because of this, the `MapType` bits were incorrect when passed to
runtime. This led to incorrect execution (contiguous) in the
libomptarget runtime code.
Added a minimal testcase that verifies the working of the patch.
63 lines
1.6 KiB
C
63 lines
1.6 KiB
C
// This test checks that #pragma omp target update from(data1[0:3:4],
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// data2[0:2:5]) correctly updates disjoint strided sections of multiple arrays
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// from the device to the host.
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// RUN: %libomptarget-compile-run-and-check-generic
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#include <omp.h>
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#include <stdio.h>
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int main() {
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int len = 12;
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double data1[len], data2[len];
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// Initial values
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#pragma omp target map(tofrom : data1[0 : len], data2[0 : len])
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{
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for (int i = 0; i < len; i++) {
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data1[i] = i;
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data2[i] = i * 10;
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}
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}
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printf("original host array values:\n");
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printf("data1: ");
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for (int i = 0; i < len; i++)
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printf("%.1f ", data1[i]);
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printf("\ndata2: ");
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for (int i = 0; i < len; i++)
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printf("%.1f ", data2[i]);
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printf("\n\n");
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#pragma omp target data map(to : data1[0 : len], data2[0 : len])
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{
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// Modify arrays on device
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#pragma omp target
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{
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for (int i = 0; i < len; i++)
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data1[i] += i;
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for (int i = 0; i < len; i++)
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data2[i] += 100;
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}
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// data1[0:3:4] // indices 0,4,8
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// data2[0:2:5] // indices 0,5
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#pragma omp target update from(data1[0 : 3 : 4], data2[0 : 2 : 5])
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}
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printf("device array values after update from:\n");
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printf("data1: ");
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for (int i = 0; i < len; i++)
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printf("%.1f ", data1[i]);
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printf("\ndata2: ");
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for (int i = 0; i < len; i++)
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printf("%.1f ", data2[i]);
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printf("\n\n");
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// CHECK: data1: 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 11.0
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// CHECK: data2: 0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 110.0
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// CHECK: data1: 0.0 1.0 2.0 3.0 8.0 5.0 6.0 7.0 16.0 9.0 10.0 11.0
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// CHECK: data2: 100.0 10.0 20.0 30.0 40.0 150.0 60.0 70.0 80.0 90.0 100.0
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// 110.0
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}
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