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/external/XNNPACK/scripts/
Dgenerate-xN-transpose.sh60 …ngen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MOV SIZE=8 -o src/x8-transposec/gen/16…
61 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=SWITCH SIZE=8 -o src/x8-transposec/gen/…
62 …ngen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MOV SIZE=16 -o src/x16-transposec/gen/…
63 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=SWITCH SIZE=16 -o src/x16-transposec/ge…
64 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MULTI SIZE=16 -o src/x16-transposec/gen…
67 …ngen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MOV SIZE=32 -o src/x32-transposec/gen/…
68 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=SWITCH SIZE=32 -o src/x32-transposec/ge…
69 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MULTI SIZE=32 -o src/x32-transposec/gen…
73 …ngen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=MOV SIZE=64 -o src/x64-transposec/gen/…
74 …gen src/x32-transposec/sse2.c.in -D IN_PTRS=REUSE OUT_PTRS=SWITCH SIZE=64 -o src/x64-transposec/ge…
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/external/mesa3d/src/gfxstream/host/apigen-codec-common/GL/
Dglext.h586 /* Reuse tokens from ARB_depth_buffer_float */
587 /* reuse GL_DEPTH_COMPONENT32F */
588 /* reuse GL_DEPTH32F_STENCIL8 */
589 /* reuse GL_FLOAT_32_UNSIGNED_INT_24_8_REV */
590 /* Reuse tokens from ARB_framebuffer_object */
591 /* reuse GL_INVALID_FRAMEBUFFER_OPERATION */
592 /* reuse GL_FRAMEBUFFER_ATTACHMENT_COLOR_ENCODING */
593 /* reuse GL_FRAMEBUFFER_ATTACHMENT_COMPONENT_TYPE */
594 /* reuse GL_FRAMEBUFFER_ATTACHMENT_RED_SIZE */
595 /* reuse GL_FRAMEBUFFER_ATTACHMENT_GREEN_SIZE */
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/external/tensorflow/tensorflow/python/ops/
Dvariable_scope.py203 If you rely on `get_variable` and auto-reuse, see the
209 `v1.AUTO_REUSE` is set. Without the decorator, reuse will be ignored and new
214 When passed in as the value for the `reuse` flag, `AUTO_REUSE` indicates that
322 reuse=None, argument
338 Set `reuse` to `True` when you only want to reuse existing Variables.
339 Set `reuse` to `False` when you only want to create new Variables.
340 Set `reuse` to None (the default) or tf.compat.v1.AUTO_REUSE when you want
363 reuse: a Boolean, None, or tf.AUTO_REUSE. Controls reuse or creation of
421 or when violating reuse during variable creation.
436 # Note that it's fine to reuse eager variables whose initialization was
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Dtemplate.py51 Even if you use legacy apis for `variable_scope`-based variable reuse,
63 functions that create variables the first time they are called and reuse them
74 create and reuse variables, but it shouldn't use
79 telling you that you are trying to reuse a variable that doesn't exist
85 couldn't reuse the variable.
125 with tf.compat.v1.variable_scope(vs, reuse=True):
149 template of the same scope/unique_name already exists and reuse is false,
161 is called it will enter the scope with no reuse, and call `func_` to create
163 re-enter the scope and reuse those variables.
197 template of the same scope/unique_name already exists and reuse is false,
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/external/libaom/av1/common/x86/
Dcfl_simd.h17 // SSSE3 version is optimal for with == 4, we reuse them in AVX2
25 // SSSE3 version is optimal for with == 8, we reuse it in AVX2
35 // SSSE3 version is optimal for with == 16, we reuse it in AVX2
45 // SSSE3 version is optimal for with == 4, we reuse them in AVX2
53 // SSSE3 version is optimal for with == 8, we reuse it in AVX2
63 // SSSE3 version is optimal for with == 16, we reuse it in AVX2
73 // SSSE3 version is optimal for with == 4, we reuse them in AVX2
81 // SSSE3 version is optimal for with == 8, we reuse it in AVX2
91 // SSSE3 version is optimal for with == 16, we reuse it in AVX2
109 // SSSE3 version is optimal for with == 8, we reuse it in AVX2
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/external/tensorflow/tensorflow/python/keras/legacy_tf_layers/
Dvariable_scope_shim.py160 reuse=None, argument
176 Set `reuse` to `True` when you only want to reuse existing Variables.
177 Set `reuse` to `False` when you only want to create new Variables.
178 Set `reuse` to None (the default) or tf.compat.v1.AUTO_REUSE when you want
201 reuse: a Boolean, None, or tf.AUTO_REUSE. Controls reuse or creation of
259 or when violating reuse during variable creation.
274 # Note that it's fine to reuse eager variables whose initialization was
279 reuse = vs.AUTO_REUSE
303 reuse=None, argument
332 reuse=reuse,
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Dvariable_scope_shim_test.py92 self.assertIsNot(v, vs.get_variable("u", [1], reuse=False))
247 reuse=variable_scope.AUTO_REUSE):
251 reuse=variable_scope.AUTO_REUSE):
333 with variable_scope.variable_scope(outer, reuse=True) as outer:
350 with variable_scope.variable_scope(tower_a, reuse=True):
358 with variable_scope.variable_scope("towerA", reuse=True):
366 with variable_scope.variable_scope(tower_a, reuse=True):
371 with variable_scope.variable_scope(tower_a, reuse=True):
376 with variable_scope.variable_scope(tower_a, reuse=True):
393 with variable_scope.variable_scope(outer, reuse=True):
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Dconvolutional.py139 reuse=None): argument
191 reuse: Boolean, whether to reuse the weights of a previous layer
221 _reuse=reuse,
346 reuse=None): argument
405 reuse: Boolean, whether to reuse the weights of a previous layer
435 _reuse=reuse,
561 reuse=None): argument
621 reuse: Boolean, whether to reuse the weights of a previous layer
651 _reuse=reuse,
907 reuse=None): argument
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/external/crosvm/
Dandroid-merge-2-cargo-embargo.sh9 REUSE=""
13 REUSE="--reuse-cargo-out"
50 if [ ! "$REUSE" ]; then
56 cargo_embargo $REUSE --cargo-bin "$CARGO_BIN" generate cargo_embargo.json
59 if [ ! "$REUSE" ]; then
/external/armnn/scripts/
Dgenerate_spdx.sh8 # Script which uses the reuse license compliance tool: https://reuse.software/
38 # Check that armnn is compliant with version 3.0 of the REUSE Specification
39 reuse lint
43 echo "please make armnn compliant with version 3.0 of the REUSE Specification before re-running"
48 reuse spdx > LICENSE.spdx
/external/tensorflow/tensorflow/compiler/mlir/hlo/lib/Transforms/
Dbuffer_reuse.cc44 void reuse(Operation *operation) { in reuse() function in mlir::__anon0de569dd0111::BufferReuse
56 // perform a reuse compatibility check. in reuse()
59 // Check if itemA interferes with itemB. If this is the case no reuse is in reuse()
84 for (auto &reuse : computeActualReuse(potentialReuseMap)) { in reuse() local
85 for (Value reuseValue : reuse.second) { in reuse()
86 reuseValue.replaceAllUsesWith(reuse.first); in reuse()
134 // If the shapes have different ranks, we cannot reuse them. in checkReuseCompatibility()
137 // Compare each dimension. If the dimensions are not equal no reuse is in checkReuseCompatibility()
197 /// reuse it or if it is already replaced by another value. If neither is the
282 /// The buffer reuse pass that uses already allocated buffers if all critera
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/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/lib/Transforms/
Dbuffer_reuse.cc46 void reuse() { in reuse() function in mlir::__anonf3890ea10111::BufferReuse
58 // perform a reuse compatibility check. in reuse()
61 // Check if itemA interferes with itemB. If this is the case no reuse is in reuse()
86 for (auto &reuse : computeActualReuse(potentialReuseMap)) { in reuse() local
87 for (Value reuseValue : reuse.second) { in reuse()
88 reuseValue.replaceAllUsesWith(reuse.first); in reuse()
136 // If the shapes have different ranks, we cannot reuse them. in checkReuseCompatibility()
139 // Compare each dimension. If the dimensions are not equal no reuse is in checkReuseCompatibility()
199 /// reuse it or if it is already replaced by another value. If neither is the
284 /// The buffer reuse pass that uses already allocated buffers if all critera
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/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.layers.pbtxt97 …straint\', \'gamma_constraint\', \'training\', \'trainable\', \'name\', \'reuse\', \'renorm\', \'r…
101 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
105 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
109 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
113 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
117 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
121 …', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
145 …\'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
149 …\'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\', \'reuse\'], varargs=None, …
/external/python/cpython3/Lib/test/
Dtest_named_expressions.py119 ("Local reuse", 'i', "[i := 0 for i in range(5)]"),
120 ("Nested reuse", 'j', "[[(j := 0) for i in range(5)] for j in range(5)]"),
121 ("Reuse inner loop target", 'j', "[(j := 0) for i in range(5) for j in range(5)]"),
122 ("Unpacking reuse", 'i', "[i := 0 for i, j in [(0, 1)]]"),
123 ("Reuse in loop condition", 'i', "[i+1 for i in range(5) if (i := 0)]"),
124 ("Unreachable reuse", 'i', "[False or (i:=0) for i in range(5)]"),
125 ("Unreachable nested reuse", 'i',
136 ("Inner reuse", 'j', "[i for i in range(5) if (j := 0) for j in range(5)]"),
137 … ("Inner unpacking reuse", 'j', "[i for i in range(5) if (j := 0) for j, k in [(0, 1)]]"),
173 ("Local reuse", 'i', "{i := 0 for i in range(5)}"),
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/external/tensorflow/tensorflow/python/kernel_tests/variables/
Dvariable_scope_test.py100 # When reuse is False, we fail when variables are already there.
101 vs.get_variable("w", [1], reuse=False) # That's ok.
103 vs.get_variable("v", [1], reuse=False) # That fails.
104 # When reuse is True, we fail when variables are new.
105 vs.get_variable("v", [1], reuse=True) # That's ok.
107 vs.get_variable("u", [1], reuse=True) # That fails.
287 # Recreate the layer to test reuse.
411 with variable_scope.variable_scope("foo", reuse=True):
412 # reuse=True is for now only supported when eager execution is disabled.
551 # Check that we can set reuse.
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/external/mesa3d/src/amd/vpelib/src/chip/vpe10/
Dvpe10_cmd_builder.c85 bool reuse; in vpe10_build_vpe_cmd() local
90 // this would allow reuse of the previous register configs in vpe10_build_vpe_cmd()
91 pipe_ctx = vpe_pipe_find_owner(vpe_priv, cmd_info->inputs[i].stream_idx, &reuse); in vpe10_build_vpe_cmd()
94 if (!reuse) { in vpe10_build_vpe_cmd()
98 reuse = false; in vpe10_build_vpe_cmd()
116 // follow the same order of config generation in "non-reuse" case in vpe10_build_vpe_cmd()
121 stream_ctx->configs[j].config_base_addr, reuse, emb_buf->tmz); in vpe10_build_vpe_cmd()
127 stream_ctx->stream_op_configs[cmd_type][j].config_base_addr, reuse, in vpe10_build_vpe_cmd()
148 bool reuse = !vpe_priv->init.debug.disable_reuse_bit; in vpe10_build_vpe_cmd() local
152 output_ctx->configs[j].config_base_addr, reuse, emb_buf->tmz); in vpe10_build_vpe_cmd()
/external/exoplayer/tree_8e57d3715f9092d5ec54ebe2e538f34bfcc34479/library/core/src/main/java/com/google/android/exoplayer2/decoder/
DDecoderReuseEvaluation.java60 /** Possible reasons why reuse is not possible. */
85 /** Decoder reuse is not implemented. */
87 /** Decoder reuse is disabled by a workaround. */
89 /** Decoder reuse is disabled by overriding behavior in application code. */
130 * reuse is possible. May also be {code 0} if reuse is not possible for an unspecified reason.
140 * be reused, or {@code 0} if reuse is possible.
/external/exoplayer/tree_15dc86382f17a24a3e881e52e31a810c1ea44b49/library/core/src/main/java/com/google/android/exoplayer2/decoder/
DDecoderReuseEvaluation.java57 /** Possible reasons why reuse is not possible. */
81 /** Decoder reuse is not implemented. */
83 /** Decoder reuse is disabled by a workaround. */
85 /** Decoder reuse is disabled by overriding behavior in application code. */
126 * reuse is possible. May also be {code 0} if reuse is not possible for an unspecified reason.
136 * be reused, or {@code 0} if reuse is possible.
/external/swiftshader/third_party/llvm-10.0/llvm/lib/Analysis/
DLoopCacheAnalysis.cpp21 /// 1. Partition memory references that exhibit temporal or spacial reuse
44 // reuse if they access either the same memory location, or a memory location
47 "temporal-reuse-threshold", cl::init(2), cl::Hidden,
50 "temporal reuse"));
148 << "No spacial reuse: different base pointers\n"); in hasSpacialReuse()
155 << "No spacial reuse: different number of subscripts\n"); in hasSpacialReuse()
162 LLVM_DEBUG(dbgs().indent(2) << "No spacial reuse, different subscripts: " in hasSpacialReuse()
178 << "No spacial reuse, difference between subscript:\n\t" in hasSpacialReuse()
188 dbgs().indent(2) << "Found spacial reuse.\n"; in hasSpacialReuse()
190 dbgs().indent(2) << "No spacial reuse.\n"; in hasSpacialReuse()
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/external/mesa3d/src/gallium/drivers/radeonsi/
Dsi_state.h344 SI_TRACKED_VGT_ESGS_RING_ITEMSIZE, /* GFX6-8 (GFX9+ can reuse this slot) */
345 SI_TRACKED_VGT_REUSE_OFF, /* GFX6-8 (GFX9+ can reuse this slot) */
346 SI_TRACKED_IA_MULTI_VGT_PARAM, /* GFX6-8 (GFX9+ can reuse this slot) */
351 SI_TRACKED_VGT_GSVS_RING_ITEMSIZE, /* GFX6-10 (GFX11+ can reuse this slot) */
352 SI_TRACKED_VGT_GS_MODE, /* GFX6-10 (GFX11+ can reuse this slot) */
353 SI_TRACKED_VGT_VERTEX_REUSE_BLOCK_CNTL, /* GFX6-10 (GFX11+ can reuse this slot) */
354 SI_TRACKED_VGT_GS_OUT_PRIM_TYPE, /* GFX6-10 (GFX11+ can reuse this slot) */
357 SI_TRACKED_VGT_GSVS_RING_OFFSET_1, /* GFX6-10 (GFX11+ can reuse this slot) */
358 SI_TRACKED_VGT_GSVS_RING_OFFSET_2, /* GFX6-10 (GFX11+ can reuse this slot) */
359 SI_TRACKED_VGT_GSVS_RING_OFFSET_3, /* GFX6-10 (GFX11+ can reuse this slot) */
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/external/curl/docs/libcurl/opts/
DCURLOPT_MAXLIFETIME_CONN.md33 connection to have to be considered for reuse for this request.
37 matches for reuse. The CURLOPT_MAXLIFETIME_CONN(3) limit prevents
38 libcurl from trying too old connections for reuse. This can be used for
42 If set to 0, this behavior is disabled: all connections are eligible for reuse.
/external/liburing/test/
Dsubmit-reuse.c5 * reuse of the iovec, we should get -EFAULT.
137 char *fname1 = ".reuse.1"; in test_reuse()
169 t_create_file(".reuse.2", FILE_SIZE); in test_reuse()
170 fd2 = open(".reuse.2", O_RDONLY); in test_reuse()
171 unlink(".reuse.2"); in test_reuse()
173 perror("open .reuse.2"); in test_reuse()
/external/tensorflow/tensorflow/compiler/mlir/tools/kernel_gen/transforms/
Dbuffer_reuse_pass.cc114 // Find reuse candidates for the regarded allocation. in find_reuse_candiates()
119 // Lifetime criterion: Only reuse buffers that are no longer used on in find_reuse_candiates()
120 // first reuse, i.e. they are no longer alive. in find_reuse_candiates()
134 // i) its last use is before the point of reuse, or in find_reuse_candiates()
135 // ii) its last use is also its first reuse and the operation in find_reuse_candiates()
136 // allows for local reuse. in find_reuse_candiates()
217 // reuse (per memory location). Since we know that the inputs and outputs in can_reuse_locally()
247 // Annotate IR with reuse candidates and output indices per allocation. in runOnOperation()
/external/jackson-databind/src/test/java/com/fasterxml/jackson/databind/util/
DTestObjectBuffer.java36 for (int reuse = 0; reuse < 2; ++reuse) { in _testObjectBuffer()
37 ObjectBuffer buf = (reuse == 0) ? null : new ObjectBuffer(); in _testObjectBuffer()
/external/swiftshader/third_party/llvm-16.0/llvm/lib/Analysis/
DLoopCacheAnalysis.cpp21 /// 1. Partition memory references that exhibit temporal or spacial reuse
50 // reuse if they access either the same memory location, or a memory location
53 "temporal-reuse-threshold", cl::init(2), cl::Hidden,
56 "temporal reuse"));
166 << "No spacial reuse: different base pointers\n"); in hasSpacialReuse()
173 << "No spacial reuse: different number of subscripts\n"); in hasSpacialReuse()
180 LLVM_DEBUG(dbgs().indent(2) << "No spacial reuse, different subscripts: " in hasSpacialReuse()
196 << "No spacial reuse, difference between subscript:\n\t" in hasSpacialReuse()
206 dbgs().indent(2) << "Found spacial reuse.\n"; in hasSpacialReuse()
208 dbgs().indent(2) << "No spacial reuse.\n"; in hasSpacialReuse()
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