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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/cc/gradients/nn_grad_test.cc
RunTest(x, x_init_value, y, shape); } TEST_F(NNGradTest, ReluGrad) { TensorShape shape({5, 2}); auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(shape)); auto y = Relu(scope_, x); // Avoid input values where ReLU gradient is not well defined (around zero). Tensor x_init_value = test::AsTensor<float>( {-0.9f, -0.7f, -0.5f, -0.3f, -0.1f, 0.1f, 0.3f, 0.5f, 0.7f, 0.9f}, {5, 2});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 22 20:45:22 UTC 2022 - 15K 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/mlir/tfr/examples/mnist/mnist_ops_test.py
'input_': input_, 'filter_': filter_, 'bias': bias, 'stride_w': 2, 'stride_h': 2, 'dilation_w': 1, 'dilation_h': 1, 'padding': 'SAME', 'act': 'RELU' } self._assertOpAndComposite([input_, filter_, bias], tf.function(gen_mnist_ops.new_conv2d), ops_defs._composite_conv_add_relu, kwargs)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 4K 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/mlir/tfr/README.md
attrs=['act: {"", "RELU", "RELU6", "TANH"} = ""'], derived_attrs=['T: {float, int8}'], outputs=['o: T']) def _composite_fully_connected(input_, filter_, bias, act): res = tf.raw_ops.MatMul( a=input_, b=filter_, transpose_a=False, transpose_b=True) res = tf.raw_ops.Add(x=res, y=bias) if act == 'RELU': return tf.raw_ops.Relu(features=res) elif act == 'RELU6':
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 6.2K 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)