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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
# GPU: *manylinux*) LARGEST_OK_SIZE=580 ;; # Unknown: *) echo "The wheel's name is in an unknown format." exit 1 ;; esac # >&3 forces output in bats even if the test passes. See # https://bats-core.readthedocs.io/en/stable/writing-tests.html#printing-to-the-terminal echo "# Size of $TF_WHEEL is $WHEEL_MEGABYTES / $LARGEST_OK_SIZE megabytes." >&3
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tensorflow/c/eager/custom_device_test.cc
EXPECT_TRUE(executed); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); TFE_DeleteTensorHandle(retval); // Explicit placement still forces the op onto the requested device matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcpu.get())); TFE_OpSetDevice(matmul.get(), "/job:localhost/replica:0/task:0/device:CPU:0", status.get());
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RELEASE.md
`float16` for acceleration on Volta and Turing Tensor Cores. This feature can be enabled by wrapping an optimizer class with `tf.train.experimental.enable_mixed_precision_graph_rewrite()`. * Add environment variable `TF_CUDNN_DETERMINISTIC`. Setting to "true" or "1" forces the selection of deterministic cuDNN convolution and max-pooling
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