- 09 8月, 2019 40 次提交
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由 Nupur Garg 提交于
PiperOrigin-RevId: 262486343
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由 Kibeom Kim 提交于
Tensors will be unhashable starting TF 2.0, so disallow a dictionary argument with Tensor as a key for tf.case PiperOrigin-RevId: 262483688
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262483401
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由 Juho Ha 提交于
SIN, COS, LOG, SQRT, RSQRT, SQUARE PiperOrigin-RevId: 262482624
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262482235
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由 Katherine Wu 提交于
PiperOrigin-RevId: 262481484
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262480689
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262479408
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由 Jaesung Chung 提交于
PiperOrigin-RevId: 262478980
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由 George Karpenkov 提交于
Returning `bool` is ambiguous, error-prone, and hides the failure message. PiperOrigin-RevId: 262477427
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262476676
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由 Chao Mei 提交于
PiperOrigin-RevId: 262475573
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由 Nagy Mostafa 提交于
This adds support for fcmp to the LLVM dialect and adds any necessary lowerings, as well as support for EDSCs. Closes #69 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/69 from nmostafa:nmostafa/fcmp 9115ad4901d4eeda130066db0a6806d6159afe09 PiperOrigin-RevId: 262475255
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262475078
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由 George Karpenkov 提交于
PiperOrigin-RevId: 262473694
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由 Amit Patankar 提交于
Add the supported CUDA compute capabilities into the toolchain created for manylinux2010 compatibility. PiperOrigin-RevId: 262473631
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由 Rick Chao 提交于
PiperOrigin-RevId: 262470811
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由 Anna R 提交于
PiperOrigin-RevId: 262468323
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由 Xiao Yu 提交于
PiperOrigin-RevId: 262468127
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由 Ruoxin Sang 提交于
PiperOrigin-RevId: 262468001
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由 TensorFlower Gardener 提交于
PiperOrigin-RevId: 262467534
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262463790
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由 Edward Loper 提交于
In ragged.constant_value: Allow dtype to be specified using either a TensorFlow dtype or a numpy dtype. PiperOrigin-RevId: 262463340
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由 Zhenyu Tan 提交于
PiperOrigin-RevId: 262462553
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由 George Karpenkov 提交于
PiperOrigin-RevId: 262458907
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由 Jing Pu 提交于
PiperOrigin-RevId: 262457813
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由 George Karpenkov 提交于
PiperOrigin-RevId: 262457614
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由 Zhenyu Tan 提交于
PiperOrigin-RevId: 262456367
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由 George Karpenkov 提交于
PiperOrigin-RevId: 262454408
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由 Tim Shen 提交于
PiperOrigin-RevId: 262453329
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由 Diego Caballero 提交于
This commit improves JitRunner so that it creates a target machine for the current CPU host which is used to properly initialize LLVM's TargetTransformInfo for such a target. This will enable optimizations such as vectorization in LLVM when using JitRunner. Please, note that, as part of this work, JITTargetMachineBuilder::detectHost() has been extended to include the host CPU name and sub-target features as part of the host CPU detection (https://reviews.llvm.org/D65760). Closes #71 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/71 from dcaballe:dcaballe/tm_runner fadb4af5f0c78c0dd0d897395af76809f67f5bab PiperOrigin-RevId: 262452525
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由 A. Unique TensorFlower 提交于
PiperOrigin-RevId: 262450804
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由 Akshay Modi 提交于
defaultdict takes the default argument in its constructor. PiperOrigin-RevId: 262449657
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由 Yanan Cao 提交于
PiperOrigin-RevId: 262448158
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由 Brian Zhao 提交于
PiperOrigin-RevId: 262448080
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由 Xiao Yu 提交于
1. Remove async_wait() and async_clear_error() in EagerContext. 2. Allow getting current executor from EagerContext. 3. Remove StartAsync() method in EagerExecutor. PiperOrigin-RevId: 262445965
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由 Yanhua Sun 提交于
PiperOrigin-RevId: 262443293
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由 Sanjoy Das 提交于
PiperOrigin-RevId: 262442181
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由 Haoyu Zhang 提交于
PiperOrigin-RevId: 262439253
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由 Tim Shen 提交于
PiperOrigin-RevId: 262438744
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