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Results 11 - 20 of 50 for makeChan (0.4 sec)
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tensorflow/c/experimental/ops/math_ops.cc
TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(x)); TF_RETURN_IF_ERROR(op_ptr->AddInput(y)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(z, 1), &num_retvals); } // Op: Conj() // Summary: Returns the complex conjugate of a complex number. // // Description: // Given a tensor `input` of complex numbers, this operation returns a tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 12.2K bytes - Viewed (0) -
tensorflow/c/experimental/ops/array_ops.cc
TF_RETURN_IF_ERROR(op_ptr->Reset("Identity", raw_device_name)); TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(input)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(output, 1), &num_retvals); } // Op: IdentityN() // Summary: Returns a list of tensors with the same shapes and contents as the // input // // Description: // tensors. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 6.7K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.cc.golden
TF_RETURN_IF_ERROR(op_ptr->Reset("Neg", raw_device_name)); TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(x)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(y, 1), &num_retvals); } // Op: MatMul() // Summary: // // Description:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/tests/runtime_test.cc
Tensor tensor, runtime.CreateHostTensor<float>({}, TF_FLOAT, {2.0f})); TF_ASSERT_OK_AND_ASSIGN(Tensor result, fn.Call<Tensor>(Tensor(tensor))); float out_val[1]; TF_ASSERT_OK(result.GetValue(absl::MakeSpan(out_val))); EXPECT_EQ(out_val[0], 6.0); } TEST_P(RuntimeTest, SimpleModelCallableIntTest) { Runtime runtime = RuntimeTest::GetParam()(); // Import the module and grab the callable
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 09 12:27:54 UTC 2023 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/ops/resource_variable_ops.cc
TF_RETURN_IF_ERROR(op_ptr->SetAttrShape("shape", shape)); TF_RETURN_IF_ERROR( op_ptr->SetAttrStringList("allowed_devices", allowed_devices)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(resource, 1), &num_retvals); } // Op: ReadVariableOp() // Summary: Reads the value of a variable. // // Description: // The tensor returned by this operation is immutable. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.1K bytes - Viewed (0) -
tensorflow/c/experimental/ops/nn_ops.cc
TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(gradients)); TF_RETURN_IF_ERROR(op_ptr->AddInput(features)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(backprops, 1), &num_retvals); } // Op: Relu() // Summary: Computes rectified linear: `max(features, 0)`. // // Description: // See: https://en.wikipedia.org/wiki/Rectifier_(neural_networks) // Example usage:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 19:11:36 UTC 2022 - 5.9K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/renderers/op_implementation_renderer.cc
} void OpImplementationRenderer::RenderExecutionSingleOutput() { ArgView output_arg = op_.OnlyOutput(); Statement("int num_retvals = 1"); Statement("return $0->Execute(absl::MakeSpan($1, 1), &num_retvals)", op_.VariableName(), output_arg.VariableName()); } void OpImplementationRenderer::RenderExecutionMultipleOutputs() { Statement("int num_retvals = $0", op_.NumOutputs());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 05:51:40 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops.cc
strlen(ResourceHandle::ANONYMOUS_NAME))); AbstractTensorHandle* var_handle = nullptr; int num_retvals = 1; TF_RETURN_IF_ERROR(varhandle_op->Execute( absl::MakeSpan(&var_handle, num_retvals), &num_retvals)); AbstractTensorHandlePtr owned_var_handle(var_handle); if (!tensorflow::isa<ImmediateExecutionTensorHandle>( owned_var_handle.get())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 11:28:19 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/saved_model_import.cc
// Copy to eliminate the `const` qualifier so that `absl::MakeSpan` can be // called on it. std::vector<std::string> exported_names = signature_keys; absl::StatusOr<OwningOpRef<ModuleOp>> module_op = SavedModelSignatureDefsToMlirImport(saved_model_path, tags, absl::MakeSpan(exported_names), &ctx, import_options, &bundle);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 5K bytes - Viewed (0)