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Results 1 - 10 of 185 for weights (0.14 sec)
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src/internal/zstd/huff.go
} weights[count] = uint8(highBit + 1) count++ weightMark[highBit+1]++ if weightMark[1] < 2 || weightMark[1]&1 != 0 { return 0, 0, r.makeError(off, "bad Huffman weights") } // Change weightMark from a count of weights to the index of // the first symbol for that weight. We shift the indexes to // also store how many we have seen so far, next := uint32(0)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 18 20:34:13 UTC 2023 - 4.7K bytes - Viewed (0) -
tests/test_tutorial/test_extra_models/test_tutorial005.py
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Jun 30 18:25:16 UTC 2023 - 1.4K bytes - Viewed (0) -
tests/test_tutorial/test_extra_models/test_tutorial005_py39.py
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Jun 30 18:25:16 UTC 2023 - 1.6K bytes - Viewed (0) -
docs_src/body_nested_models/tutorial009_py39.py
from fastapi import FastAPI app = FastAPI() @app.post("/index-weights/") async def create_index_weights(weights: dict[int, float]):
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Fri Jan 07 14:11:31 UTC 2022 - 154 bytes - Viewed (0) -
tests/test_tutorial/test_body_nested_models/test_tutorial009.py
def test_post_body(client: TestClient): data = {"2": 2.2, "3": 3.3} response = client.post("/index-weights/", json=data) assert response.status_code == 200, response.text assert response.json() == data def test_post_invalid_body(client: TestClient): data = {"foo": 2.2, "3": 3.3} response = client.post("/index-weights/", json=data) assert response.status_code == 422, response.text assert response.json() == IsDict(
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 4.2K bytes - Viewed (0) -
tests/test_tutorial/test_body_nested_models/test_tutorial009_py39.py
data = {"2": 2.2, "3": 3.3} response = client.post("/index-weights/", json=data) assert response.status_code == 200, response.text assert response.json() == data @needs_py39 def test_post_invalid_body(client: TestClient): data = {"foo": 2.2, "3": 3.3} response = client.post("/index-weights/", json=data) assert response.status_code == 422, response.text
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/quantization_options.proto
// Apply float16 quantization to all the weights. Quantized weights will be // dequantized before running inference. // Activation: f32, Weight: f16, Bias: f16 FLOAT16 = 3; // Apply static range quantization. The quantization range is determined // via calibration phase and quantized during conversion. // Activation: qi8, Weight: qi8, Bias: qi32 POST_TRAINING_QUANTIZATION_STATIC_RANGE = 4; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 22 02:20:05 UTC 2023 - 3.6K bytes - Viewed (0) -
src/cmd/internal/pgo/pgo.go
} // NamedEdgeMap contains all unique call edges in the profile and their // edge weight. type NamedEdgeMap struct { Weight map[NamedCallEdge]int64 // ByWeight lists all keys in Weight, sorted by edge weight from // highest to lowest. ByWeight []NamedCallEdge } func emptyProfile() *Profile { // Initialize empty maps/slices for easier use without a requiring a
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Mar 27 20:20:01 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/examples/mnist/mnist_train.py
# output shape: [-1, 1024] fc1 = gen_mnist_ops.new_fully_connected(reshape, self.weights['f3'], self.biases['b3'], 'RELU') # output shape: [-1, 10] return gen_mnist_ops.new_fully_connected(fc1, self.weights['f4'], self.biases['b4']) def main(strategy):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 20 03:05:18 UTC 2021 - 6.5K bytes - Viewed (0) -
src/go/doc/testdata/examples/issue43658.golden
g, err := community.NewUndirectedLayers(friends, enemies) if err != nil { log.Fatal(err) } weights := []float64{1, -1} // Get the profile of internal node weight for resolutions // between 0.1 and 10 using logarithmic bisection. p, err := community.Profile( community.ModularMultiplexScore(g, weights, true, community.WeightMultiplex, 10, src), true, 1e-3, 0.1, 10, ) if err != nil { log.Fatal(err)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 10 23:13:45 UTC 2022 - 4.5K bytes - Viewed (0)