Home
last modified time | relevance | path

Searched refs:compressed (Results 1 – 25 of 177) sorted by relevance

12345678

/llvm-project-15.0.7/mlir/test/Dialect/SparseTensor/
H A Dsparse_transpose.mlir4 dimLevelType = [ "compressed", "compressed" ]
19 …compressed", "compressed" ], pointerBitWidth = 0, indexBitWidth = 0 }>>) -> tensor<4x3xf64, #spars…
23 …) : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
24 …compressed", "compressed" ], pointerBitWidth = 0, indexBitWidth = 0 }>> to tensor<3x4xf64, #sparse…
25 …] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], dimOr…
26 …] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], dimOr…
29 …] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], dimOr…
45 …] : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
48 …s : tensor<4x3xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
49 …] : tensor<3x4xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], dimOr…
[all …]
H A Dsparse_3d.mlir9 #Tdss = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed", "compressed" ] }>
11 #Tsds = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "dense", "compressed" ] }>
12 #Tssd = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "dense" ] }>
13 #Tsss = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ] }>
929 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
941 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
946 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
1064 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
1072 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
1074 …32x16x8xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed", "compressed" ]…
[all …]
H A Dsparse_2d.mlir5 #Tds = #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ] }>
6 #Tsd = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "dense" ] }>
7 #Tss = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
302 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
396 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
439 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
440 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
603 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
604 …: tensor<32x16xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
1006 …]]: tensor<?x?xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ], point…
[all …]
H A Droundtrip.mlir3 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
16 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
29 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
55 #SparseVector = #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>
139 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
153 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
169 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
183 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
217 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
247 #SparseMatrix = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed"]}>
[all …]
H A Dsparse_nd.mlir8 dimLevelType = [ "dense", "dense", "dense", "compressed",
9 "compressed", "dense", "dense", "dense" ]
25 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
39 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
40 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
41 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
42 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
43 …_tensor.encoding<{ dimLevelType = [ "dense", "dense", "dense", "compressed", "compressed", "dense"…
H A Droundtrip_encoding.mlir4 // CHECK-SAME: tensor<32xf64, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBit…
5 …private @sparse_1d_tensor(tensor<32xf64, #sparse_tensor.encoding<{dimLevelType = ["compressed"]}>>)
10 dimLevelType = [ "dense", "compressed" ],
17 // CHECK-SAME: tensor<?x?xf32, #sparse_tensor.encoding<{ dimLevelType = [ "dense", "compressed" ], …
H A Dsparse_1d.mlir5 #SV = #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ] }>
106 …VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
161 …VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
200 …VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
306 …VAL_1:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
365 …VAL_1:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
399 …VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
458 …VAL_0:.*]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
493 …AL_0:.*0]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
494 …AL_1:.*1]]: tensor<32xf32, #sparse_tensor.encoding<{ dimLevelType = [ "compressed" ], pointerBitWi…
[all …]
/llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/taco/
H A Dtest_Tensor.py22 pt.format([pt.compressed, pt.dense, pt.compressed], [1, 0, 2]))
24 pt.format([pt.compressed, pt.compressed, pt.compressed],
37 pt.compressed, pt.compressed, pt.compressed, pt.compressed,
42 pt.compressed, pt.compressed, pt.compressed, pt.compressed,
50 U = pt.tensor([2, 3], pt.format([pt.compressed, pt.compressed], [1, 0]))
H A Dtest_MTTKRP.py17 compressed = pt.compressed variable
21 csf = pt.format([compressed, compressed, compressed])
H A Dtest_SDDMM.py22 S = pt.tensor([8, 8], pt.format([pt.compressed, pt.compressed]))
23 X = pt.tensor([8, 8], pt.format([pt.compressed, pt.compressed]))
24 Y = pt.tensor([8, 8], pt.compressed) # alternative syntax works too
H A Dtest_scalar_tensor_algebra.py11 compressed = pt.compressed variable
16 B = pt.tensor([2, 3], compressed)
H A Dtest_tensor_complex.py10 compressed = pt.compressed variable
18 C = pt.tensor([2, 3], compressed, dtype=t)
H A Dtest_tensor_types.py11 compressed = pt.compressed variable
22 C = pt.tensor([2, 3], compressed, dtype=t)
H A Dtest_SpMV.py17 compressed = pt.compressed variable
21 csr = pt.format([dense, compressed])
H A Dtest_simple_tensor_algebra.py11 compressed = pt.compressed variable
21 D = pt.tensor([2, 3], compressed)
/llvm-project-15.0.7/llvm/test/tools/llvm-profdata/
H A Dforward-compatible.test3 RUN: llvm-profdata show -sample %S/Inputs/unknown.section.compressed.extbin.profdata | FileCheck %s
5 RUN: llvm-profdata show -sample -show-sec-info-only %S/Inputs/unknown.section.compressed.extbin.pro…
12 # unknown.section.compressed.extbin.profdata is the compressed version of
33 HDR-COMPRESS: ProfileSummarySection - Offset: 242, Size: 89, Flags: {compressed}
34 HDR-COMPRESS-NEXT: NameTableSection - Offset: 331, Size: 16, Flags: {compressed}
35 HDR-COMPRESS-NEXT: UnknownSection - Offset: 347, Size: 11, Flags: {compressed}
36 HDR-COMPRESS-NEXT: FuncOffsetTableSection - Offset: 388, Size: 13, Flags: {compressed}
37 HDR-COMPRESS-NEXT: LBRProfileSection - Offset: 358, Size: 30, Flags: {compressed}
38 HDR-COMPRESS-NEXT: ProfileSymbolListSection - Offset: 388, Size: 0, Flags: {compressed}
39 HDR-COMPRESS-NEXT: FunctionMetadata - Offset: 401, Size: 0, Flags: {compressed}
/llvm-project-15.0.7/mlir/test/Integration/Dialect/SparseTensor/CPU/
H A Dsparse_flatten.mlir20 dimLevelType = [ "compressed", "compressed", "compressed", "compressed",
21 "compressed", "compressed", "compressed", "compressed" ],
H A Dsparse_conversion_sparse2dense.mlir9 dimLevelType = [ "compressed", "compressed", "compressed" ],
14 dimLevelType = [ "compressed", "compressed", "compressed" ],
19 dimLevelType = [ "compressed", "compressed", "compressed" ],
24 dimLevelType = [ "dense", "compressed", "compressed" ],
29 dimLevelType = [ "dense", "compressed", "compressed" ],
34 dimLevelType = [ "dense", "compressed", "compressed" ],
H A Dsparse_tensor_ops.mlir7 #ST1 = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed", "compressed"]}>
8 #ST2 = #sparse_tensor.encoding<{dimLevelType = ["compressed", "compressed", "dense"]}>
H A Dsparse_out_reduction.mlir8 dimLevelType = [ "compressed", "compressed" ]
12 dimLevelType = [ "compressed", "compressed", "compressed" ]
H A Dsparse_transpose.mlir7 dimLevelType = [ "compressed", "compressed" ]
11 dimLevelType = [ "compressed", "compressed" ],
75 // Setup input sparse matrix from compressed constant.
/llvm-project-15.0.7/llvm/test/tools/llvm-dwp/X86/
H A Dcompressfail.test7 # ERR1: error: failure while decompressing compressed section: '.debug_info.dwo', corrupted compres…
8 # ERR2: error: failure while decompressing compressed section: '.debug_info.dwo', zlib error: Z_DAT…
/llvm-project-15.0.7/lld/ELF/
H A DOutputSections.cpp361 compressed.uncompressedSize = size; in maybeCompress()
369 compressed.shards = std::move(shardsOut); in maybeCompress()
370 compressed.numShards = numShards; in maybeCompress()
371 compressed.checksum = checksum; in maybeCompress()
397 if (compressed.shards) { in writeTo()
400 chdr->ch_size = compressed.uncompressedSize; in writeTo()
405 auto offsets = std::make_unique<size_t[]>(compressed.numShards); in writeTo()
407 for (size_t i = 1; i != compressed.numShards; ++i) in writeTo()
412 parallelFor(0, compressed.numShards, [&](size_t i) { in writeTo()
413 memcpy(buf + offsets[i], compressed.shards[i].data(), in writeTo()
[all …]
/llvm-project-15.0.7/mlir/test/Dialect/Bufferization/
H A Dinvalid.mlir61 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
71 #DCSR = #sparse_tensor.encoding<{ dimLevelType = [ "compressed", "compressed" ] }>
/llvm-project-15.0.7/llvm/test/tools/llvm-objcopy/ELF/
H A Dcompress-debug-sections-groups.test9 # RUN: llvm-objcopy --compress-debug-sections %t.o %t-compressed.o
10 # RUN: llvm-readobj -S --section-groups %t-compressed.o | \
14 # RUN: llvm-objcopy --decompress-debug-sections %t-compressed.o %t-decompressed.o

12345678