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tensorflow/c/c_api.cc
} else if (typestr == "list(float)") { metadata.type = TF_ATTR_FLOAT; } else if (typestr == "list(bool)") { metadata.type = TF_ATTR_BOOL; } else if (typestr == "list(type)") { metadata.type = TF_ATTR_TYPE; } else if (typestr == "list(shape)") { metadata.type = TF_ATTR_SHAPE; } else if (typestr == "list(tensor)") {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
// Calculate Grad std::string name = "relu_grad"; TF_RETURN_IF_ERROR(ReluGrad(ctx, upstream_grad, activations, &grad_inputs[0], name.c_str())); return absl::OkStatus(); } ~ReluGradientFunction() override { for (auto output : forward_outputs_) { if (output) { output->Unref(); } } } private:
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
TracingContext* tracing_ctx = dyn_cast<TracingContext>(unwrap(func)); if (!tracing_ctx) { tsl::Set_TF_Status_from_Status( s, tensorflow::errors::InvalidArgument( "TF_AddFunctionParameter must be called on a TracingContext.")); return nullptr; } tensorflow::PartialTensorShape partial_shape; if (shape.num_dims != -1) { DCHECK(shape.dim_sizes != nullptr);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
struct stat st; if (stat(dst, &st) != 0) { if (errno != ENOENT) { TF_SetStatusFromIOError(status, errno, dst); return; } } else if (S_ISDIR(st.st_mode)) { TF_SetStatus(status, TF_FAILED_PRECONDITION, "target path is a directory"); return; } // We cannot rename directories yet, so prevent this. if (stat(src, &st) != 0) { TF_SetStatusFromIOError(status, errno, src);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
if (!status->status.ok()) return nullptr; if (input_index >= op_def->input_arg_size() || input_index < 0) { status->status = tensorflow::errors::InvalidArgument( input_index, " out of range for ", op_name); return nullptr; } const tensorflow::OpDef_ArgDef& input_arg = op_def->input_arg()[input_index]; if (input_arg.number_attr().empty()) {
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/experimental/gradients/grad_test_helper.cc
} std::vector<AbstractTensorHandle*> temp_outputs(1); AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry)); TF_RETURN_IF_ERROR( forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs))); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets=*/temp_outputs, /*sources=*/inputs,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets*/ {exp_output},
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad.cc
for (int i = 0; i < grad_outputs.size(); i++) { auto grad_input = grad_outputs[i]; // TODO(srbs): Should we add a copy contructor to AbstractTensorHandle // that takes care of this similar to `Tensor`? if (grad_input) { grad_input->Ref(); } grad_inputs[i] = grad_input; } return absl::OkStatus(); } ~IdentityNGradientFunction() override {} }; } // namespace
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 1.6K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
if (TF_GetCode(status) != TF_OK) return; // unwrap op_ and set step_id only if valid step id value was set. // Currently only required for non-TFRT use cases, e.g., EagerOp. if (step_id_.has_value()) { tensorflow::unwrap(op_.get())->SetStepId(step_id_.value()); } TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status); if (TF_GetCode(status) != TF_OK) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/gradient_checker.cc
// Run the model. TF_RETURN_IF_ERROR( RunModel(forward, ctx, inputs, model_outputs, use_function)); AbstractTensorHandlePtr model_out(model_outputs[0]); TF_Tensor* model_out_tensor; TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor)); int num_dims_out = TF_NumDims(model_out_tensor); TF_DeleteTensor(model_out_tensor); // If the output is a scalar, then return the scalar output
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0)