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tensorflow/c/c_api_experimental.cc
ShapeHandle shape_handle = c.output(i); TF_ShapeAndType& shape = output_shapes_result->items[i]; shape.num_dims = c.Rank(shape_handle); if (shape.num_dims == InferenceContext::kUnknownRank) { shape.dims = nullptr; continue; } shape.dims = new int64_t[shape.num_dims]; for (size_t j = 0; j < shape.num_dims; ++j) { shape.dims[j] = c.Value(c.Dim(shape_handle, j));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib_test.cc
ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); const std::vector<std::unique_ptr<ParallelTensor>>& handles = *outputs; const std::vector<int64_t>* shape; Status s = handles[0]->Shape(&shape); ASSERT_TRUE(s.ok()); EXPECT_EQ(0, shape->size()); } TEST(PARALLEL_DEVICE_LIB, TestCancelOnError) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 08 23:47:35 GMT 2021 - 15.3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray( TF_ShapeAndTypeList** shape_list_array, int num_items); // Infer shapes for the given `op`. The arguments mimic the arguments of the // `shape_inference::InferenceContext` constructor. Note the following: // - The inputs of the `op` are not used for shape inference. So, it is // OK to not have the inputs properly set in `op`. See `input_tensors`
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
CITATION.cff
cff-version: 1.2.0 message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org." title: TensorFlow, Large-scale machine learning on heterogeneous systems
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 06 15:26:23 GMT 2021 - 3.5K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
python3 -m pip install "$TF_WHEEL" } @test "TensorFlow is importable" { source /tf/venv/bin/activate python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)' } # Is this still useful? @test "TensorFlow has Keras" { source /tf/venv/bin/activate python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 2.7K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/BUILD
"@local_tsl//tsl/platform:casts", "@local_tsl//tsl/platform:status_matchers", "@local_tsl//tsl/protobuf:error_codes_proto_impl_cc", "@local_xla//xla:shape_util", "@local_xla//xla/pjrt:pjrt_api", "@local_xla//xla/pjrt:pjrt_c_api_client", "@local_xla//xla/pjrt:tfrt_cpu_pjrt_client", "@local_xla//xla/pjrt/c:pjrt_c_api_cpu",
Plain Text - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 3.8K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
#include <stack> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/lib/gtl/array_slice.h" #include "tensorflow/core/lib/gtl/cleanup.h" #include "tensorflow/core/lib/gtl/flatmap.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
.bazelrc
build:rbe_linux --linkopt=-lrt build:rbe_linux --host_linkopt=-lrt build:rbe_linux --linkopt=-lm build:rbe_linux --host_linkopt=-lm build:rbe_linux_cpu --config=rbe_linux # Linux cpu and cuda builds share the same toolchain now. build:rbe_linux_cpu --host_crosstool_top="@sigbuild-r2.17-clang_config_cuda//crosstool:toolchain" build:rbe_linux_cpu --crosstool_top="@sigbuild-r2.17-clang_config_cuda//crosstool:toolchain"
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2) -
tensorflow/c/eager/abstract_tensor_handle.cc
namespace tensorflow { std::string AbstractTensorHandle::DebugString() const { PartialTensorShape shape; Status s = Shape(&shape); std::string shape_string; if (!s.ok()) { shape_string = "<error computing shape>"; } else { shape_string = shape.DebugString(); } return absl::StrCat("TensorHandle(shape=", shape_string, ", dtype=", DataType_Name(DataType()),
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 1.4K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util_test.cc
auto c_api_client = down_cast<xla::PjRtCApiClient*>(pjrt_client->get()); std::vector<int32_t> data(1, 0); xla::Shape shape = xla::ShapeUtil::MakeShape(xla::S32, {1}); auto buffer = c_api_client->pjrt_c_client()->client->BufferFromHostBuffer( data.data(), shape.element_type(), shape.dimensions(), /*byte_strides=*/std::nullopt, xla::PjRtClient::HostBufferSemantics::kImmutableOnlyDuringCall, nullptr,
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Mon Oct 30 19:20:20 GMT 2023 - 7.2K bytes - Viewed (0)