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Results 71 - 80 of 163 for matmult (0.08 sec)
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tensorflow/compiler/mlir/tensorflow/tests/fused_kernel_matcher.mlir
%3 = "tf.Identity"(%2) : (tensor<*xf32>) -> tensor<*xf32> func.return %3 : tensor<*xf32> } //===----------------------------------------------------------------------===// // MatMul + BiasAdd + <Activation> fusions. //===----------------------------------------------------------------------===// // CHECK-LABEL: matmulBiasAdd
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test.py
).astype(np.float32) class TwoMatmulModel(module.Module): """A model with two matmul ops.""" @def_function.function def matmul(self, input_tensor: core.Tensor) -> Mapping[str, core.Tensor]: """Performs a matrix multiplication. Args: input_tensor: Input tensor to matmul with the filter. Returns: A 'output' -> output tensor mapping """
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 51.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/device_conversion.mlir
%arg1: tensor<1x3xf32> {tf_saved_model.index_path = [0]}) -> (tensor<3x3xf32> {tf_saved_model.index_path = []}) { // CHECK: {{%.*}} = corert.get_op_handler %arg0 "/device:GPU:0" %2 = "tf.MatMul"(%arg0, %arg1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:GPU:0", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 645 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/shape-inference.mlir
module attributes {tf.versions = {producer = 179 : i32}} { func.func @main(%arg0: tensor<*xf32>, %arg1: tensor<?x19xf32>) -> tensor<?x19xf32> { %0 = "tf.MatMul"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", transpose_a = false, transpose_b = false} : (tensor<*xf32>, tensor<?x19xf32>) -> tensor<?x19xf32> func.return %0 : tensor<?x19xf32> } } // CHECK-LABEL: HloModule main
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 23 18:56:13 UTC 2022 - 969 bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/attributes.mlir
// CHECK: {{%.*}} = tfrt_fallback_async.executeop {{.*}} device("/device:CPU:0") "tf.MatMul" // CHECK-SAME: {T = f32, transpose_a = false, transpose_b = false}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.h
namespace mlir { namespace TF { // Populate patterns to unroll tf.BatchMatMulV2 op into a sequence of TF ops. // Since TFLite does not support BatchMatMul operation, it unrolls a BatchMatMul // op into tf.Reshape, tf.Slice, tf.MatMul, tf.Pack, and tf.Reshape ops. void PopulateUnrollTfBatchMatMul(MLIRContext* context, RewritePatternSet& patterns); } // namespace TF } // namespace mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 27 15:05:02 UTC 2022 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/basic.mlir
// CHECK-NEXT: [[ch1:%.*]], [[var:%.*]] = tfrt_fallback_async.executeop.seq([[in_chain]]) {{.*}} "tf.ReadVariableOp"([[arg1]]) // CHECK-NEXT: [[r0:%.*]] = tfrt_fallback_async.executeop {{.*}} "tf.MatMul"([[arg0]], [[var]]) %2 = "tf.MatMul"(%arg0, %1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:CPU:0", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.golden_summary
BiasAdd 1 BiasAddGrad 1 Cast 3 Const 357 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 DivNoNan 1 Equal 1 FusedBatchNorm 53 FusedBatchNormGrad 53 Identity 2 MatMul 3 MaxPool 1 MaxPoolGrad 1 Mean 1 Mul 164 Pad 1 ReadVariableOp 646 Relu 49 ReluGrad 49 Reshape 2 ResourceApplyKerasMomentum 161 ShapeN 50 Softmax 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 740 bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ #define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_ // Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 11 22:56:03 UTC 2020 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/device_assignment.mlir
func.func @device_test(%arg0: tensor<3x1xf32>) -> (tensor<3x3xf32>) { // CHECK: device = "gpu" %0 = "tf.Const"() {value = dense<[[1.0, 2.0, 3.0]]> : tensor<1x3xf32>} : () -> tensor<1x3xf32> // CHECK: device = "gpu" %1 = "tf.MatMul"(%arg0, %0) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32> // CHECK: device = "cpu"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 924 bytes - Viewed (0)