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Results 1 - 10 of 88 for input_shapes_ (0.66 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference_pass.cc
class ShapeInference : public impl::TensorFlowShapeInferencePassBase<ShapeInference> { public: ShapeInference() = default; explicit ShapeInference(ArrayRef<ArrayRef<int64_t>> input_shapes) : input_shapes_(input_shapes) {} void runOnOperation() override { // Parse `input_arg_shapes_` if provided (test only) SmallVector<ArrayRef<int64_t>> input_shapes_vec;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 3K bytes - Viewed (0) -
tensorflow/c/c_api_experimental_test.cc
// Create input_shapes. TF_ShapeAndTypeList* input_shapes = TF_NewShapeAndTypeList(input_shapes_vec.size()); for (size_t i = 0; i < input_shapes_vec.size(); ++i) { const auto& input_shape = input_shapes_vec[i]; if (input_shape.has_value()) { TF_ShapeAndTypeListSetShape(input_shapes, i, input_shape->data(), input_shape->size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 17 22:27:52 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/jit/increase_dynamism_for_auto_jit_pass.cc
Output input_shape_i = ops::Slice( host_scope.WithOpName("input_shape_", i), input_shape, constant_pool.Get1DHostConstant(i), constant_pool.Get1DHostConstant(1)); slice_size.push_back(ops::Sub(host_scope.WithOpName("slice_size_", i), input_shape_i, begin_i)); DCHECK_EQ(slice_size.back().type(), DT_INT64); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 13.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
// Set input_shapes. for (int i = 0; i < num_inputs; ++i) { std::vector<DimensionHandle> dims; const TF_ShapeAndType& input_shape = input_shapes->items[i]; if (input_shape.num_dims == InferenceContext::kUnknownRank) { c.SetInput(i, c.UnknownShape()); continue; } dims.reserve(input_shape.num_dims); for (int j = 0; j < input_shape.num_dims; ++j) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 29.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.cc
const std::vector<std::optional<std::vector<int>>>& input_shapes, const std::vector<std::string>& output_arrays, const std::vector<std::string>& control_output_arrays, const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context) { auto module_or = GraphdefToMlirImport( input, input_arrays, input_dtypes, input_shapes, output_arrays, control_output_arrays, import_options, context);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 11:51:44 UTC 2024 - 14.1K bytes - Viewed (0) -
tensorflow/c/kernels/bitcast_op_test.cc
.Finalize(&def)); shape_inference::InferenceContext c(0, def, op_def, {S({3, 4})}, {}, {}, {}); std::vector<shape_inference::ShapeHandle> input_shapes; TF_CHECK_OK(c.input("input", &input_shapes)); ASSERT_EQ("[3,4]", c.DebugString(input_shapes[0])); TF_CHECK_OK(reg->shape_inference_fn(&c)); ASSERT_EQ("[3,4,8]", c.DebugString(c.output(0))); } TEST(BitcastOpTest, TestShapeInference_SmallerShape) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jul 18 15:10:51 UTC 2022 - 5.5K bytes - Viewed (0) -
tensorflow/cc/gradients/grad_helper.cc
// data = { input_shape, axes_ones } // = { [2, 3, 5, 7], [1, 1] } // The input_rank_range entry in indices first replicates the // input_shape to the result. // The axes entry in indices then moves a 1 to each of its entries, // resulting in // [2, 1, 1, 7] std::vector<Output> indices = {input_rank_range, axes}; std::vector<Output> data = {input_shape, axes_ones}; return DynamicStitch(scope, indices, data); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 07 23:11:54 UTC 2022 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-multiple-while-body-func.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h
GraphdefToMlirTranslateFunction( llvm::StringRef input, const std::vector<std::string>& input_arrays, const std::vector<std::string>& input_dtypes, const std::vector<std::optional<std::vector<int>>>& input_shapes, const std::vector<std::string>& output_arrays, const std::vector<std::string>& control_output_arrays, const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context); ABSL_DEPRECATED(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
merge_fusion_with_dequantize: bool, ): lhs_dim_size, rhs_dim_size = dim_sizes input_shape = (*lhs_dim_size,) filter_shape = (*rhs_dim_size,) static_input_shape = [dim if dim is not None else 2 for dim in input_shape] model = self._create_matmul_model( input_shape, filter_shape, self._input_saved_model_path, bias_fn, activation_fn, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0)