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Results 11 - 20 of 42 for input_idx (0.15 sec)
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TFE_OpReset(op_.get(), operation_name, device_.c_str(), status); if (TF_GetCode(status) != TF_OK) return; } TFE_OpAddAttrs(op_.get(), attributes); for (int input_index = 0; input_index < inputs.size(); ++input_index) { TFE_OpAddInput(op_.get(), inputs[input_index], status); if (TF_GetCode(status) != TF_OK) return; } std::vector<TFE_TensorHandle*> unwrapped_results(expected_max_outputs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 07:47:20 UTC 2024 - 25.4K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
int input_index, bool use_function, AbstractTensorHandle** numerical_grad) { vector<AbstractTensorHandle*> theta_inputs(inputs.size()); for (int i{}; i < inputs.size(); ++i) { theta_inputs[i] = inputs[i]; } AbstractTensorHandle* theta = theta_inputs[input_index]; // parameter we are grad checking
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/constant_fold_test.cc
%weight = "tf.Const"() {value = dense<1> : tensor<1024x24x24x3xi8>} : () -> tensor<1024x24x24x3xi8> %input_i32 = "tf.Cast"(%weight) : (tensor<1024x24x24x3xi8>) -> tensor<1024x24x24x3xi32> %output = "tf.Sub"(%input_i32, %zp) : (tensor<1024x24x24x3xi32>, tensor<i32>) -> tensor<1024x24x24x3xi32> %cast = "tf.Cast"(%output) : (tensor<1024x24x24x3xi32>) -> tensor<1024x24x24x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 07:19:09 UTC 2024 - 10.1K bytes - Viewed (0) -
tensorflow/c/kernels_experimental.h
// This interface forwards the reference from input to the output tensors // corresponding to the indices provided with `input_index` and `output_index` TF_CAPI_EXPORT extern void TF_OpKernelContext_ForwardRefInputToRefOutput( TF_OpKernelContext* ctx, int32_t input_index, int32_t output_index); // The API releases the opaque lock handle returned with // `TF_MaybeLockVariableInputMutexesInOrder` API
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 07 14:44:39 UTC 2023 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_helper.h
const_op->getResult(0)); auto dq = rewriter.create<DQ>(const_op->getLoc(), expressed_type, q); op.setOperand(input_index, dq.getResult()); return success(); } LogicalResult replaceStatsOp( SourceOp op, quantfork::StatisticsOp stats_op, int input_index, const operator_property::TensorProperty& tensor_property, PatternRewriter& rewriter) const {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 28K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/tf_xla_mlir_translate.cc
<< absl::StrJoin(xla_output_description.shape.dim_sizes(), ", ") << ')'; if (xla_output_description.input_index >= 0) output << " input_index=" << xla_output_description.input_index; if (xla_output_description.is_constant) output << " constant"; if (xla_output_description.is_tensor_list) output << " tensor_list"; output << '\n'; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 18.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/graph-resource.mlir
// CHECK-NEXT: } // CHECK: // InputMapping {0, 1} // CHECK-NEXT: // XlaInputShape f32[2] // CHECK-NEXT: // XlaInputShape f32[2] // CHECK-NEXT: // XlaOutputShape (f32[2])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/graph-resource.pbtxt
# CHECK-NEXT: } # CHECK: // InputMapping {0, 1} # CHECK-NEXT: // XlaInputShape f32[2] # CHECK-NEXT: // XlaInputShape f32[2] # CHECK-NEXT: // XlaOutputShape (f32[2])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 15 06:15:50 UTC 2021 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, int input_index, float* expected_grad, int num_grad, bool use_function, double abs_error = 1e-2) { Status s; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function, &numerical_grad_raw);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 14 10:03:59 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_xla_weight_only.mlir
// Use identity op to avoid the weight being constant-folded. %identity = "tf.Identity"(%input) : (tensor<*xi8>) -> tensor<*xi8> %input_i32 = "tf.Cast"(%identity) : (tensor<*xi8>) -> tensor<*xi32> %output = "tf.Sub"(%input_i32, %zp) : (tensor<*xi32>, tensor<*xi32>) -> tensor<*xi32> %cast = "tf.Cast"(%output) : (tensor<*xi32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 15:43:38 UTC 2023 - 7K bytes - Viewed (0)