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Results 1 - 10 of 82 for _input_shapes (0.29 sec)
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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/lite/tests/fuse-tftext.mlir
func.func private @whitespace_tokenizer_rank1(%arg0: tensor<1x!tf_type.string> {tf._user_specified_name = "input"}) -> (tensor<?x!tf_type.string>, tensor<?xi64>) attributes {tf._input_shapes = [#tf_type.shape<1>], tf._implements = #tf_type.func<@"tftext:WhitespaceTokenizer", {}>, tf.signature.is_stateful} { %0 = "tf.Const"() {value = dense<[0, 1]> : tensor<2xi64>} : () -> tensor<2xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 460.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/sink_in_invariant_ops.mlir
// CHECK-LABEL: func private @batched_function // CHECK: arg1 func.func private @batched_function(%arg0: tensor<1x3xf32>, %arg1: tensor<*x!tf_type.resource>) -> tensor<1x3xf32> attributes {tf._input_shapes = [#tf_type.shape<1x3>, #tf_type.shape<*>], tf.signature.is_stateful} { // CHECK: [[handle:%.*]] = "tf.VarHandleOp"() // CHECK: "tf.ReadVariableOp"([[handle]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 21K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/freeze_variables.mlir
func.return %val : tensor<0xf32> } // expected-error@+1 {{Number of arguments and 'tf._input_shapes' attribute size do not match. Num args: 2, tf._input_shapes size: 3}} func.func private @f_callee(%arg0: tensor<0xf32>, %arg1: tensor<*x!tf_type.resource>) -> tensor<0xf32> attributes {tf._input_shapes = [#tf_type.shape<0>, #tf_type.shape<>, #tf_type.shape<9x9x9>]} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/strip_tf_attributes.mlir
%arg4: tensor<10xf32> {tf._user_specified_name = "b2"}) -> tensor<10xf32> attributes {tf._construction_context = "kEagerRuntime", tf._input_shapes = [#tf_type.shape<32x28x28x1>, #tf_type.shape<3x3x1x5>, #tf_type.shape<5>, #tf_type.shape<3920x10>, #tf_type.shape<10>]} { return %arg4 : tensor<10xf32> } // ----- // CHECK-LABEL: strips_attributes_with_tf_values
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 25 20:04:10 UTC 2022 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/batch_function_lowering.mlir
func.func private @batched_function(%arg0: tensor<1x3xf32> {tf._user_specified_name = "0"}, %arg1: tensor<*x!tf_type.resource>) -> tensor<1x3xf32> attributes {tf._input_shapes = [#tf_type.shape<1x3>, #tf_type.shape<*>], tf.signature.is_stateful} { %0 = "tf.ReadVariableOp"(%arg1) {device = "/device:CPU:0"} : (tensor<*x!tf_type.resource>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
tensor<?x8x8xf32>, %arg1: tensor<8x10xf32>, %arg2: tensor<8x10xf32>, %arg3: tensor<8x40xf32>, %arg4: tensor<10x40xf32>, %arg5: tensor<40xf32>) -> (tensor<8x10xf32>, tensor<?x8x10xf32>, tensor<8x10xf32>, tensor<8x10xf32>, tensor<f32>) attributes {tf._input_shapes = ["tfshape$dim { size: -1 } dim { size: 8 } dim { size: 8 }", "tfshape$dim { size: 8 } dim { size: 10 }", "tfshape$dim { size: 8 } dim { size: 10 }", "tfshape$unknown_rank: true", "tfshape$unknown_rank: false", "tfshape$unknown_rank: false"],...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_saved_model_freeze_variables.cc
if (input_shapes_attr.size() != func_op.getNumArguments()) { return func_op->emitError( "Number of arguments and 'tf._input_shapes' " "attribute size do not match. ") << "Num args: " << func_op.getNumArguments() << ", tf._input_shapes size: " << input_shapes_attr.size(); } return success(); } // Validates ModuleOp. Returns `failure` if the module op is invalid.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 09:56:53 UTC 2024 - 19.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir
func.func private @conv(%input: tensor<1x3x4x3xf32> {tf._user_specified_name = "input_tensor"}) -> tensor<*xf32> attributes {tf._construction_context = "kEagerRuntime", tf._input_shapes = [#tf_type.shape<1x3x4x3>]} { %weight = arith.constant dense_resource<__elided__> : tensor<2x3x3x2xf32> %bias = arith.constant dense<[7.11401462, 7.05456924]> : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
} func.func private @__inference_main(%arg0: tensor<1x5x5x1024xf32> {tf._user_specified_name = "input_tensor"}) -> tensor<1x5x5x1024xf32> attributes {tf._construction_context = "kEagerRuntime", tf._input_shapes = [#tf_type.shape<1x5x5x1024>], tf._noinline = true, tf._original_func_name = "__inference_main_540"} { %cst_0 = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 17.2K bytes - Viewed (0)