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tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/svdf_v2.mlir
// CHECK-NEXT: outputs: [ 5 ], // CHECK-NEXT: builtin_options_type: SVDFOptions, // CHECK-NEXT: builtin_options: { // CHECK-NEXT: rank: 2, // CHECK-NEXT: fused_activation_function: RELU // CHECK-NEXT: } // CHECK-NEXT: } ], // CHECK-NEXT: name: "main" // CHECK-NEXT: } ], // CHECK-NEXT: description: "MLIR Converted.", // CHECK-NEXT: buffers: [ { // CHECK-EMPTY:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/mnist_train.py
# output shape: [-1, 28, 28, 32] conv1 = gen_mnist_ops.new_conv2d(x, self.weights['f1'], self.biases['b1'], 1, 1, 1, 1, 'SAME', 'RELU') # Max pooling. The kernel size spec {ksize} also follows the layout of # the data. Here we have a pooling window of 2, and a stride of 2. # output shape: [-1, 14, 14, 32]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 20 03:05:18 UTC 2021 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/svdf.mlir
// CHECK-NEXT: outputs: [ 5 ], // CHECK-NEXT: builtin_options_type: SVDFOptions, // CHECK-NEXT: builtin_options: { // CHECK-NEXT: rank: 2, // CHECK-NEXT: fused_activation_function: RELU // CHECK-NEXT: } // CHECK-NEXT: } ], // CHECK-NEXT: name: "main" // CHECK-NEXT: } ], // CHECK-NEXT: description: "MLIR Converted.", // CHECK-NEXT: buffers: [ { // CHECK-EMPTY:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.golden_summary
Conv2DBackpropInput 52 DivNoNan 1 Equal 1 FusedBatchNorm 53 FusedBatchNormGrad 53 Identity 2 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 164 Pad 1 ReadVariableOp 646 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 ShapeN 50 Softmax 1 SparseSoftmaxCrossEntropyWithLogits 1 Square 55 Squeeze 1 Sub 106 Sum 57 Tile 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 740 bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 Equal 1 FusedBatchNormGradV2 53 FusedBatchNormV2 53 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 218 Pad 2 ReadVariableOp 538 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 Slice 1 Softmax 1 SparseSoftmaxCrossEntropyWithLogits 1 Squeeze 1 Sum 1 Tile 1 Transpose 1 cluster 1 size 815 AddN 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ir/fallback_opt.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 11:03:04 UTC 2022 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/basic_lstm.mlir
// CHECK-NEXT: outputs: [ 5, 6, 7, 8 ], // CHECK-NEXT: builtin_options_type: LSTMOptions, // CHECK-NEXT: builtin_options: { // CHECK-NEXT: fused_activation_function: RELU, // CHECK-NEXT: cell_clip: 1.0, // CHECK-NEXT: proj_clip: 2.0, // CHECK-NEXT: kernel_type: BASIC // CHECK-NEXT: }, // CHECK-NEXT: intermediates: [ ] // CHECK-NEXT: } ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 4.4K bytes - Viewed (0) -
tensorflow/c/experimental/ops/update_cpp_ops.sh
MatMul \ Neg \ Sum \ Sub \ Div \ DivNoNan \ Exp \ Sqrt \ SqrtGrad \ Log1p ${generate} \ --category=nn \ SparseSoftmaxCrossEntropyWithLogits \ ReluGrad \ Relu \ BiasAdd \ BiasAddGrad ${generate} \ --category=resource_variable \ VarHandleOp \ ReadVariableOp \ AssignVariableOp \ DestroyResourceOp ${generate} \ --category=io \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 17:54:34 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/keras.py
def mnist_model(): """Creates a MNIST model.""" model = tf.keras.models.Sequential() model.add(tf.keras.layers.Flatten()) model.add(tf.keras.layers.Dense(128, activation='relu')) model.add(tf.keras.layers.Dense(10, activation='softmax')) return model class TestModule(tf.Module): def __init__(self): super(TestModule, self).__init__() self.model = mnist_model()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/insert_fallback_tensor_copy.mlir
// CHECK-NOT: tfrt_fallback_async.copy_if_small %0 = tfrt_fallback_async.executeop key(0) cost(1024) device("/job:localhost/replica:0/task:0/device:CPU:0") "tf.Relu"(%arg) {T = f32} : 1 %1 = tfrt_fallback_async.executeop key(0) cost(1024) device("/job:localhost/replica:0/task:0/device:CPU:0") "tf.Relu"(%arg) {T = f32} : 1 tfrt.return %0, %1 : !tfrt_fallback.tf_tensor, !tfrt_fallback.tf_tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 10:51:48 UTC 2022 - 5.5K bytes - Viewed (0)