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Results 101 - 104 of 104 for RELU (0.11 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
//===----------------------------------------------------------------------===// OpFoldResult LeakyReluOp::fold(FoldAdaptor adaptor) { auto operands = adaptor.getOperands(); assert(operands.size() == 1 && "leaky relu has one operand"); // leaky_relu(x, alpha: 1) -> x if (getAlpha().convertToFloat() == 1.0f && getOperand().getType() == getType()) return getOperand();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: } func.func @const() -> tensor<2xi32> { %0 = mhlo.constant dense<0> : tensor<2xi32> func.return %0 : tensor<2xi32> } // CHECK-LABEL: func @relu( // CHECK-SAME: %[[VAL_0:.*]]: tensor<1xi32>) -> tensor<1xi32> { // CHECK: %[[VAL_1:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
"HASHTABLE_LOOKUP", "L2_NORMALIZATION", "L2_POOL_2D", "LOCAL_RESPONSE_NORMALIZATION", "LOGISTIC", "LSH_PROJECTION", "LSTM", "MAX_POOL_2D", "MUL", "RELU", "RELU_N1_TO_1", "RELU6", "RESHAPE", "RESIZE_BILINEAR", "RNN", "SOFTMAX", "SPACE_TO_DEPTH", "SVDF", "TANH", "CONCAT_EMBEDDINGS",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
RELEASE.md
to matrix multiplication and convolution, these building blocks include: Direct batched convolution Pooling: maximum, minimum, average Normalization: LRN, batch normalization Activation: rectified linear unit (ReLU) Data manipulation: multi-dimensional transposition (conversion), split, concat, sum and scale. * TensorForest Estimator now supports SavedModel export for serving.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)