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tensorflow/c/c_api.h
// -1 and `dims` can be null. If a dimension is unknown, the // corresponding entry in the `dims` array must be -1. // // This does not overwrite the existing shape associated with `output`, // but merges the input shape with the existing shape. For example, // setting a shape of [-1, 2] with an existing shape [2, -1] would set // a final shape of [2, 2] based on shape merging semantics. //
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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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ci/devinfra/README.md
> directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** A directory for build and CI related scripts and jobs managed by the TensorFlow
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tensorflow/c/c_api_experimental.cc
if (op_reg_data->shape_inference_fn == nullptr) { status->status = InvalidArgument("No shape inference function exists for op '", node_def.op(), "', did you forget to define it?"); return; } status->status = c.Run(op_reg_data->shape_inference_fn); if (!status->status.ok()) return; // Set output_shapes. TF_ShapeAndTypeList* output_shapes_result =
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ci/official/README.md
# Official CI Directory Maintainer: TensorFlow and TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
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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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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
(std::min)(n - copy_size, gcs_file->buffer.size()); memcpy(buffer + copy_size, gcs_file->buffer.data(), remaining_copy); copy_size += remaining_copy; } if (copy_size < n) { // Forget the end-of-file flag to allow for clients that poll on the // same file. gcs_file->buffer_end_is_past_eof = false; TF_SetStatus(status, TF_OUT_OF_RANGE, "Read less bytes than requested");
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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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