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Results 1 - 10 of 37 for x_shape (0.07 sec)
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tensorflow/c/c_api_experimental_test.cc
CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_); // Infer shape when everything is known. CheckOutputShapes(matmul_op, /*input_shapes*/ {make_shape({3, 2}), make_shape({2, 4})}, /*input_tensors*/ {}, /*expected_shape*/ make_shape({3, 4})); // Infer shape when second operand has unknown shape. CheckOutputShapes(matmul_op,
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Jan 17 22:27:52 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
// devices of a ParallelDevice. If called, ParallelTensor::Shape inspects // `components` to determine a shape. static std::unique_ptr<ParallelTensor> FromTensorHandles( const ParallelDevice& parallel_device, std::vector<TensorHandlePtr> components, TF_Status* status); // Uses the provided shape without additional checks, which avoids blocking // when ParallelTensor::Shape is called.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 13.1K 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; absl::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);
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape( "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()), shape.dims())); } int num_outputs = 1; std::vector<AbstractTensorHandle*> outputs(num_outputs); TF_RETURN_IF_ERROR(operation->Execute(
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 05:11:17 UTC 2024 - 15.7K bytes - Viewed (0) -
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)); } }
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Sat Oct 12 16:27:48 UTC 2024 - 29.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// number of dimensions of a parallel tensor. int ParallelTensorNumDims(void* data, TF_Status* status) { const std::vector<int64_t>* shape; absl::Status s = reinterpret_cast<ParallelTensor*>(data)->Shape(&shape); if (!s.ok()) { tsl::Set_TF_Status_from_Status(status, s); return -1; } return shape->size(); } // Used as an argument to TFE_NewCustomDeviceTensorHandle, for computing a // dimension of a parallel tensor.
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 18.3K bytes - Viewed (0) -
docs/en/docs/img/deployment/https/https.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" vertex="1" parent="33"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu May 12 00:06:16 UTC 2022 - 25.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
new ParallelTensor(parallel_device, std::move(components), dtype)); } absl::Status ParallelTensor::Shape(const std::vector<int64_t>** shape) const { if (!shape_.has_value()) { TF_Status status; PartialTensorShape combined_shape; TF_RETURN_IF_ERROR(unwrap(tensors_[0].get())->Shape(&combined_shape)); for (const TensorHandlePtr& component : tensors_) { PartialTensorShape component_shape;
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Mon Oct 21 04:14:14 UTC 2024 - 25.9K bytes - Viewed (0) -
docs/en/docs/img/deployment/https/https07.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu May 12 00:06:16 UTC 2022 - 18.7K bytes - Viewed (0) -
docs/en/docs/img/deployment/https/https08.drawio
</mxCell> <mxCell id="32" value="" style="pointerEvents=1;shadow=0;dashed=0;html=1;fillColor=#505050;labelPosition=center;verticalLabelPosition=bottom;verticalAlign=top;outlineConnect=0;align=center;shape=mxgraph.office.devices.laptop;strokeColor=none;" parent="33" vertex="1"> <mxGeometry width="500" height="350" as="geometry"/> </mxCell>
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu May 12 00:06:16 UTC 2022 - 20.9K bytes - Viewed (0)