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    Searched refs:rarely (Results 1 - 25 of 45) sorted by null

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/prebuilts/go/darwin-x86/src/math/big/
example_test.go	29 // The Scan function is rarely used directly; 42 // The Scan function is rarely used directly; 55 // The Scan function is rarely used directly;
/prebuilts/go/linux-x86/src/math/big/
example_test.go	29 // The Scan function is rarely used directly; 42 // The Scan function is rarely used directly; 55 // The Scan function is rarely used directly;
/prebuilts/go/darwin-x86/src/cmd/vendor/golang.org/x/arch/arm64/arm64asm/
decode_test.go	45 // Some rarely used system instructions are not supported
/prebuilts/go/linux-x86/src/cmd/vendor/golang.org/x/arch/arm64/arm64asm/
decode_test.go	45 // Some rarely used system instructions are not supported
/external/libunwind/doc/
libunwind-setjmp.tex	40 that frequently call \Func{setjmp}() but only rarely call 47 correct unwind information. On newer platforms, this is rarely an
libunwind-ia64.tex	171 explicitly. This is rarely what you want. Normally, you'll want to
/frameworks/rs/script_api/
rs_for_each.spec	51 over, like dimensions. It also contains rarely used indices of the currently processed 242 over and rarely used indices, like the Array0 index. 248 &nbsp;&nbsp;// adding these variables as arguments. For the more rarely used indices<br/> 391 over and rarely used indices, like the Array0 index.
/external/tensorflow/tensorflow/compiler/jit/graphcycles/
graphcycles_test.cc	335 // Very rarely, test graph expansion by adding then removing many nodes. 336 std::bernoulli_distribution rarely(1.0 / 1024.0); 337 if (rarely(rnd)) {
/external/icu/icu4c/
icu4c.css	338 table.rtable tr.rarely td {
/prebuilts/go/darwin-x86/src/crypto/x509/
root_darwin.go	103 // to the "if hasPolicy" check below, though, we will rarely
/prebuilts/go/darwin-x86/src/go/doc/testdata/
benchmark.go	270 // because benchmarks rarely print, but just in case, we trim it if it's too long.
/prebuilts/go/darwin-x86/src/net/
tcpsock_posix.go	64 // TCP has a rarely used mechanism called a 'simultaneous connection' in
/prebuilts/go/linux-x86/src/crypto/x509/
root_darwin.go	103 // to the "if hasPolicy" check below, though, we will rarely
/prebuilts/go/linux-x86/src/go/doc/testdata/
benchmark.go	270 // because benchmarks rarely print, but just in case, we trim it if it's too long.
/prebuilts/go/linux-x86/src/net/
tcpsock_posix.go	64 // TCP has a rarely used mechanism called a 'simultaneous connection' in
/system/core/adb/
Android.mk	45 # made to adb rarely get ported to the other two, so the trees have diverged a
/external/tensorflow/tensorflow/contrib/verbs/
README.md	62 In order to allocate the result and proxy tensors, we need to know the tensor's meta-data, i.e. shape and data-type for DMAable tensors, and proto-size for serialized tensors. Unfortunately, this information is only available on the sender side which complicates manners. In order to avoid sending extra messages for querying the meta-data at each step, we store a local meta-data cache per tensor, which will only be update upon changes. Based on the assumption that the meta-data of a tensor rarely changes between steps, we expect that on most times the cache will only be updated once. The sender is responsible to detect changes in the meta-data, and update the receiver. In order for the sender to know that the meta-data had changed, each **RDMA_MESSAGE_TENSOR_REQUEST** will contain the meta-data that the receiver had grabbed from the local cache. The sender will then compare the meta-data from the message to the tensor's new meta-data.
patch_notes_verbs_with_0_copies.md	27 2. The address of the destination Tensor needs to be sent to the sender side for writing, meaning that the result/proxy tensor should be pre-allocated on the receiver side, prior to sending the tensor request. In order to do that, we need to know its meta-data, i.e. shape and data-type for DMAble tensors, and proto-size for serialized tensors. Unfortunately, this information is only available on the sender side which complicates manners. In order to avoid sending extra messages for querying the meta-data on each step, we store a local meta-data cache per tensor. Based on the assumption that the meta-data of a tensor rarely changes between steps, we expect that on most times the cache will only be updated once. When the sender receives a request for a tensor, if it is the first time this tensor is requested, or in the rare case that the meta-data did change, the sender will first send a meta-data response, on which the receiver will update the local cache, and reallocate the result/proxy tensors if required. When the receiver sends the tensor request, it will contain also the meta-data currently stored in its local cache, so the sender can compare it to see if there was a change.
/prebuilts/go/darwin-x86/src/cmd/vendor/github.com/google/pprof/internal/binutils/
binutils.go	198 // Reading all Symbols is expensive, and we only rarely need it so
/prebuilts/go/linux-x86/src/cmd/vendor/github.com/google/pprof/internal/binutils/
binutils.go	198 // Reading all Symbols is expensive, and we only rarely need it so
/external/ImageMagick/www/api/
enhance.php	150 <p>When the 'channel' mask includes the matte/alpha transparency channel but one image has no such channel it is assumed that that image is a simple gray-scale image that will effect the alpha channel values, either for gray-scale coloring (with transparent or semi-transparent colors), or a histogram adjustment of existing alpha channel values. If both images have matte channels, direct and normal indexing is applied, which is rarely used.</p>
/prebuilts/go/darwin-x86/src/image/png/
writer.go	467 // "filters are rarely useful on palette images" and will result
/prebuilts/go/darwin-x86/src/math/rand/
rand.go	208 goto again // resample; this branch is taken O(very rarely)
/prebuilts/go/linux-x86/src/image/png/
writer.go	467 // "filters are rarely useful on palette images" and will result
/prebuilts/go/linux-x86/src/math/rand/
rand.go	208 goto again // resample; this branch is taken O(very rarely)

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