- 20 10月, 2016 29 次提交
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由 Shanqing Cai 提交于
On mac 64-bit, the library paths is actually at /usr/local/cuda/lib by default. The assumption that it is always at /usr/local/cuda/lib64 has led to build failures, e.g., http://ci.tensorflow.org/view/Nightly/job/nightly-matrix-mac-gpu/100/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-mac/console Change: 136653210
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由 Yuan Yu 提交于
Before this CL, Device::Sync() was called only when the executor graph contains a SINK node. However the SINK node in the graph is guaranteed to be reachable from SOURCE. This CL makes sure Device::Sync() is always called before the executor exits. As a separate issue, we may consider if we want the executor graph to be "well-formed" with a single SOURCE and a single SINK. Change: 136652586
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由 Dan Mané 提交于
Before this change, the EventAccumulator parses the new scalar_summaries as a one-element np array like this: np.array(3, dtype=np.float32). This is the same as a number wrt equality checking (i.e. expression above is equal to 3.0), but it isn't json serializable, which causes problems for TensorBoard. Change: 136647129
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由 Mustafa Ispir 提交于
Change: 136645313
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由 Mustafa Ispir 提交于
Change: 136644858
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由 A. Unique TensorFlower 提交于
Change: 136644641
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由 A. Unique TensorFlower 提交于
Change: 136643977
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由 A. Unique TensorFlower 提交于
Change: 136641403
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由 A. Unique TensorFlower 提交于
the second best split in finished_nodes_op. Change: 136640840
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由 A. Unique TensorFlower 提交于
Change: 136637890
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由 Dan Mané 提交于
Create tf.summary.{image, histogram, audio, merge, merge_all} These duplicate tf.{image, histogram, audio, merge, merge_all}_summary. We will deprecate the existing versions in a future change. The APIs for the migrated summary ops are almost the same. Here are the changes: - The first argument for each summary op is now "name" rather than "tag". The "tag" argument is removed entirely. The name will be used to construct the op name per standard TensorFlow naming conventions, meaning there is no longer a need to do manual name-prefixing to get re-usable summary ops. - The image summary "max_images" argument was renamed to "max_outputs", for consistency with the audio summary and other future summaries. A future change will migrate existing usage where possible, and remove the duplicated implementations in logging_ops.py Change: 136636253
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由 A. Unique TensorFlower 提交于
Change: 136632035
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由 A. Unique TensorFlower 提交于
Change: 136631708
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由 Eugene Brevdo 提交于
Change: 136630722
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由 A. Unique TensorFlower 提交于
Change: 136626773
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由 A. Unique TensorFlower 提交于
Change: 136626094
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由 Patrick Nguyen 提交于
Change: 136624599
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由 Shanqing Cai 提交于
This fixes a build failure that surfaced in nightly builds after CL/136212902 such as: https://ci.tensorflow.org/view/Tensorflow%20Jenkins%20Monitored%20builds/job/nightly-matrix-cpu/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/261/console Change: 136622955
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由 A. Unique TensorFlower 提交于
Change: 136621502
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由 Sukriti Ramesh 提交于
Change: 136619012
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由 Asim Shankar 提交于
Closes #4566 Change: 136617356
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由 A. Unique TensorFlower 提交于
Change: 136615121
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由 A. Unique TensorFlower 提交于
Change: 136614898
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由 Patrick Nguyen 提交于
Change: 136613320
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由 Patrick Nguyen 提交于
Change: 136613296
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由 A. Unique TensorFlower 提交于
Change: 136609289
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由 A. Unique TensorFlower 提交于
Change: 136604297
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由 Eugene Brevdo 提交于
This speeds up performance of passing SparseTensor objects through queues about 2x. Change: 136602071
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由 A. Unique TensorFlower 提交于
Change: 136599724
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- 19 10月, 2016 11 次提交
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由 Benoit Steiner 提交于
Change: 136597998
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由 A. Unique TensorFlower 提交于
Change: 136596757
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由 A. Unique TensorFlower 提交于
Change: 136566426
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由 A. Unique TensorFlower 提交于
Change: 136565493
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由 Justine Tunney 提交于
Many languages, e.g. JS, proto, etc. don't support having hyphens in package names. Change: 136565198
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由 A. Unique TensorFlower 提交于
Change: 136560739
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由 Justine Tunney 提交于
If I check out TensorFlow to a directory named tensorflow-clean then Bazel is going to create a subdirectory named bazel-tensorflow-clean. So we really need to have a wildcard pattern. Change: 136559940
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由 A. Unique TensorFlower 提交于
Change: 136558601
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由 A. Unique TensorFlower 提交于
This adds support for "NC*" data layouts for N-D convolution and pooling (including atrous convolution and pooling); previously, only "N*C" data lyaouts were supported. This also adds support for 1-D pooling (by forwarding to the 2-D implementation), and fixes the broken data_format support in conv1d. Change: 136556507
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由 A. Unique TensorFlower 提交于
Change: 136556197
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由 A. Unique TensorFlower 提交于
Change: 136555768
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